Doctor-patient joint decision-making communication method and device based on artificial intelligence and electronic equipment

Abstract

The embodiment of the invention provides a doctor-patient joint decision-making communication method and device based on artificial intelligence and electronic equipment, and relates to the fields of information technologies, doctor-patient communication technologies and the like. The method comprises the steps of obtaining basic health information of a patient and a current diagnosis and treatment conclusion of a medical party through a doctor-patient joint decision-making auxiliary system before the patient performs a diagnosis and treatment behavior; based on an AI technology, carrying out deep thinking on the basic health information of the patient and the current diagnosis and treatment conclusion of the doctor to obtain a doctor-patient communication science popularization document; obtaining at least one to-be-communicated diagnosis and treatment scheme selected by the patient based on the doctor-patient communication science popularization copywriting; and through the doctor-patient joint decision-making auxiliary system, recording the whole process of communicating and determining the target diagnosis and treatment scheme for the patient and the doctor based on the at least one to-be-communicated diagnosis and treatment scheme, and obtaining a doctor-patient communication witness and evidence storage record. In the embodiment of the invention, through the doctor-patient communication witness and evidence storage record, a backtracking record can be provided for doctor-patient communication, and the doctor-patient communication efficiency is improved.

Description

Technical Field

[0001] The present disclosure relates to the fields of information technology, doctor-patient communication technology, and more specifically, to a method, device, electronic device, and medium for evaluating patient awareness. Background Art

[0002] According to relevant laws, before performing any medical treatment, including surgery, chemotherapy, plastic surgery, special examinations, and organ transplantation and donation, medical personnel must explain to the patient or their authorized person (hereinafter referred to as the patient) at the medical facility the patient's current condition, the next treatment plan, alternative options, and the pros and cons of each option. If medical treatment, special examinations, or special treatments are required, medical personnel must promptly explain the medical risks and alternative options to the patient and ask for their opinion. The patient will then sign a clear consent form (agree / reject). The entire doctor-patient communication process typically lasts 5-30 minutes. In practice, doctors, primarily through oral communication, impart extensive medical expertise, including disease knowledge, diagnosis and treatment, medical risks, and precautions, to ordinary patients with little or no basic medical knowledge in a short period of time, allowing them to make important decisions about their health.

[0003] This doctor-patient communication technology, which mainly relies on doctors to explain to patients in a short period of time, has the following main defects:

[0004] 1. The patient's right to know cannot be reasonably guaranteed. The doctor's oral statements are subjective and selective, which limits the patient's right to obtain complete information.

[0005] 2. There is a lack of basic criteria for patients’ right to know, which directly affects the legal legitimacy and effectiveness of the legal procedures for the right to consent;

[0006] 3. There is a dispute over the validity and legality of the signed Informed Consent for Diagnosis and Treatment;

[0007] 4. The patient does not have the opportunity to fully express some of his or her issues;

[0008] 5. There are words in doctor-patient communication that do not comply with current medical laws and regulations, which are not discovered and corrected in a timely manner, resulting in damage to the patient's rights and interests.

[0009] The aforementioned methods of doctor-patient communication have not fundamentally reduced medical disputes. An analysis of medical complaints from multiple general hospitals shows that 80% of medical disputes are related to inadequate doctor-patient communication, while less than 20% are related to medical technology. This fully demonstrates that existing doctor-patient communication technologies suffer from serious communication deficiencies and communication inaccuracies.

[0010] Therefore, how to effectively improve the communication efficiency between doctors and patients has become an urgent problem that needs to be solved. Summary of the Invention

[0011] The disclosed embodiments provide a method, device, and electronic device for doctor-patient joint decision-making communication based on artificial intelligence. On the one hand, AI technology is used to conduct in-depth thinking on the patient's basic health information and the doctor's current diagnosis and treatment conclusions, and to generate popular science documents for doctor-patient communication. This can provide the patient with relevant popular science on diagnosis and treatment behaviors in a more objective and comprehensive manner, thereby improving the efficiency of doctor-patient communication and the comprehensiveness and completeness of the information provided. On the other hand, through the witness and evidence record of doctor-patient communication, a retrospective record can be provided for doctor-patient communication, which greatly protects the rights and interests of both doctors and patients.

[0012] In one aspect, an embodiment of the present disclosure provides a method for doctor-patient joint decision-making communication based on artificial intelligence, the method comprising:

[0013] Before a patient undergoes diagnosis and treatment, the doctor-patient joint decision-making support system is used to obtain the patient's basic health information and the doctor's current diagnosis and treatment conclusions;

[0014] Using artificial intelligence (AI) technology, we conduct in-depth research on the patient's basic health information and the doctor's current diagnosis and treatment conclusions to generate corresponding doctor-patient communication popular science copy. This popular science copy is used to inform patients, including patients and their authorized health managers, of the medical pros and cons, risks, and precautions involved in diagnosis and treatment.

[0015] When the doctor-patient communication science popularization document is verified and approved by the medical staff, obtaining the at least one possible diagnosis and treatment plan included in the doctor-patient communication science popularization document and the at least one diagnosis and treatment plan to be communicated selected by the patient staff;

[0016] Through the doctor-patient joint decision-making support system, the entire process of the patient and medical staff communicating and determining the target treatment plan based on at least one treatment plan to be communicated is recorded to obtain a doctor-patient communication witness and evidence record. Among them, the doctor-patient communication witness and evidence record is used to provide the patient and medical staff with a retrospective record of the doctor-patient communication. The doctor-patient communication witness and evidence record includes the doctor-patient communication witness and evidence audio, or the doctor-patient communication witness and evidence audio and video.

[0017] In one aspect, an embodiment of the present disclosure provides an artificial intelligence-based doctor-patient joint decision-making communication device, the device comprising:

[0018] The first acquisition module is used to obtain the patient's basic health information and the doctor's current diagnosis and treatment conclusion through the doctor-patient joint decision-making support system before the patient undergoes diagnosis and treatment;

[0019] The first processing module is used to deeply analyze the patient's basic health information and the doctor's current diagnosis and treatment conclusions based on artificial intelligence (AI) technology, and generate corresponding doctor-patient communication popular science copy. The doctor-patient communication popular science copy is used to inform the patient's personnel, including the patient and the patient's authorized health management personnel, of the medical pros and cons and precautions in the diagnosis and treatment behavior;

[0020] The second acquisition module is used to obtain, when the medical staff has verified and approved the medical staff's popular science document for communication between doctors and patients, at least one possible diagnosis and treatment plan included in the medical staff's popular science document for communication between doctors and patients and the at least one diagnosis and treatment plan to be communicated selected by the patient staff;

[0021] The witness and evidence module records the entire process of patient and medical personnel communicating and determining the target treatment plan based on at least one treatment plan to be communicated through the doctor-patient joint decision-making support system, and obtains a doctor-patient communication witness and evidence record. Among them, the doctor-patient communication witness and evidence record is used to provide patient and medical personnel with a retrospective record of doctor-patient communication. The doctor-patient communication witness and evidence record includes doctor-patient communication witness and evidence audio, or doctor-patient communication witness and evidence audio and video.

[0022] On the one hand, an embodiment of the present disclosure provides an electronic device, which includes a processor and a memory, which are connected to each other; the memory is used to store a computer program; the processor is configured to execute a method provided by any possible implementation of the above-mentioned artificial intelligence-based doctor-patient joint decision-making communication method when calling the above-mentioned computer program.

[0023] On the one hand, an embodiment of the present disclosure provides a computer-readable storage medium storing a computer program, which is executed by a processor to implement a method provided by any possible implementation of the above-mentioned artificial intelligence-based doctor-patient joint decision-making communication method.

[0024] In one aspect, embodiments of the present disclosure provide a computer program product or computer program, comprising computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method provided by any possible implementation of the aforementioned artificial intelligence-based doctor-patient joint decision-making communication method.

[0025] The technical solution provided by the present disclosure has the following beneficial effects: before a patient needs to undergo diagnosis and treatment, the patient's basic health information and the doctor's current diagnosis and treatment conclusion can be obtained through the doctor-patient joint decision-making assistance system. The obtained patient's basic health information and the doctor's current diagnosis and treatment conclusion are deeply considered based on AI technology to obtain corresponding doctor-patient communication popular science documents, wherein the doctor-patient communication popular science documents include at least one candidate diagnosis and treatment plan, and the doctor-patient communication popular science documents are used to inform the patient's personnel of the medical pros and cons, risks and precautions of the diagnosis and treatment behavior. The patient personnel include the patient and his / her authorized health management personnel. When the doctor's personnel verifies and approves the doctor-patient communication popular science documents, the patient can select at least one candidate diagnosis and treatment plan that he / she wants to learn more about from the at least one candidate diagnosis and treatment plan. The doctor-patient joint decision-making assistance system records the entire process of the patient and the doctor's communication regarding the at least one diagnosis and treatment plan to be communicated, as well as the target diagnosis and treatment plan finally determined, to obtain a doctor-patient communication witness and evidence record, which is used to provide a doctor-patient communication retrospective record for the patient and the doctor. Through the embodiments disclosed herein, on the one hand, AI technology is used to generate popular science documents for doctor-patient communication, and relevant information about diagnosis and treatment behaviors is provided to patients, which can provide relevant popular science about diagnosis and treatment behaviors to patients in a more objective and comprehensive manner, thereby improving the efficiency of doctor-patient communication. On the one hand, AI technology is used to analyze the content of the entire doctor-patient communication process to evaluate the patient's informed consent and make compensatory suggestions to the medical side; on the other hand, through the witness and evidence records of doctor-patient communication, a retrospective record can be provided for doctor-patient communication. In actual applications, when a doctor-patient conflict occurs, the complete doctor-patient communication evidence can be queried through the witness and evidence records of doctor-patient communication, which greatly protects the rights and interests of both doctors and patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following briefly introduces the drawings required for describing the embodiments of the present disclosure.

[0027] Figure 1 A flowchart of an artificial intelligence-based doctor-patient joint decision-making communication method provided in an embodiment of the present disclosure;

[0028] Figure 2 A flowchart of another artificial intelligence-based doctor-patient joint decision-making communication method provided in an embodiment of the present disclosure;

[0029] Figure 3 A schematic diagram of a login interface of a doctor-patient joint decision support system provided in an embodiment of the present disclosure;

[0030] Figure 4 A schematic diagram of a personal center interface provided by an embodiment of the present disclosure;

[0031] Figure 5A schematic diagram of a third-party witness file filling page provided in an embodiment of the present disclosure;

[0032] Figure 6 A schematic diagram of an authorization confirmation interface provided in an embodiment of the present disclosure;

[0033] Figure 7 A schematic diagram of an authorization interface provided in an embodiment of the present disclosure;

[0034] Figure 8 A schematic diagram of a recording start interface for a doctor-patient communication conference provided in an embodiment of the present disclosure;

[0035] Figure 9 A schematic diagram of a doctor-patient communication conference recording page provided in an embodiment of the present disclosure;

[0036] Figure 10 A schematic diagram of a conversation analysis interface provided by an embodiment of the present disclosure;

[0037] Figure 11 A schematic diagram of a doctor-patient communication meeting record list page provided in an embodiment of the present disclosure;

[0038] Figure 12 A schematic diagram of a communication meeting details interface provided in an embodiment of the present disclosure;

[0039] Figure 13 A screenshot of a graphical user interface of a personal center provided in an embodiment of the present disclosure;

[0040] Figure 14 A schematic diagram of the structure of an artificial intelligence-based doctor-patient joint decision-making and communication device provided in an embodiment of the present disclosure;

[0041] Figure 15 A schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0042] The following describes embodiments of the present disclosure in conjunction with the accompanying drawings. It should be understood that the embodiments described below in conjunction with the accompanying drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present disclosure and do not constitute a limitation on the technical solutions of the embodiments of the present disclosure.

[0043] In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.

[0044] The application scenarios of the embodiments of the present disclosure include scenarios where legal provisions or actual circumstances require informed consent or third-party witnessing of doctor-patient communication. For example, all scenarios in which the doctor must fulfill the obligation to inform the patient include, but are not limited to, the following scenarios: informed consent scenarios for the doctor to provide the patient with medication beyond the scope of the prescribed scope, clinical drug research trials, organ donation or transplantation, special examinations and treatments, surgery, post-diagnosis medical instructions, admission / discharge notifications, plastic surgery, emergency treatment, etc.

[0045] The AI-based doctor-patient joint decision-making communication method of the disclosed embodiments is primarily implemented through a doctor-patient joint decision-making support system. This system is software for facilitating doctor-patient communication. This software can be a web application, i.e., an H5 (Hypertext Markup Language 5) application, an application (APP), and / or a mini-program. The disclosed embodiments do not impose any restrictions on the form of this software. The doctor-patient joint decision-making support system is described in detail below.

[0046] The software part of the doctor-patient joint decision-making support system is introduced as follows:

[0047] Operating System: The server should use Linux or Windows Server as the operating system. Linux is highly stable, secure, and customizable, making it suitable as the server-side operating system for the doctor-patient decision-making support system. It can better manage system resources and provide efficient network services.

[0048] Web server software: Apache HTTP Server or Nginx, used to process Hypertext Transfer Protocol (HTTP) requests from clients. Requests are processed using PHP (Hypertext Preprocessor), an open-source server-side scripting language, and then sent to the server or fed back to the user for interactive actions. These web server software offer high performance, high reliability, and good scalability, meeting system operational requirements.

[0049] PHP Interpreter: Installing a PHP interpreter executes PHP code. It provides a way to evaluate language or grammatical expressions, construct language interpretation methods, more accurately execute code, process operational rules, and establish effective interactions between the database, business layer, and interaction layer. When building a doctor-patient decision support system, ensure that the PHP engine is correctly installed and configured.

[0050] Database Management System: Relational databases, such as MySQL and PostgreSQL, are used to store and manage various data in the doctor-patient decision support system, including patient information, doctor information, and communication records. These database management systems have powerful data storage and retrieval capabilities and can improve database reusability and maintainability through stored procedures, simplifying usage and enhancing security, thereby ensuring data security and integrity.

[0051] Client operating platform: It mainly runs on various mainstream operating systems, including Windows, Mac OS, iOS, and Android. H5 pages can be accessed through a browser without installing additional applications. As long as the browser on the device supports the HTML5 standard, the system can be used normally, greatly improving the system's compatibility and convenience.

[0052] Front-end technology stack: HTML, Cascading Style Sheets (CSS), and JavaScript (which can also include front-end frameworks such as React, Vue, or Angular) are used to build user interfaces and implement front-end and back-end interactions.

[0053] Text analysis module: performs topic extraction and keyword extraction on the texts of doctors and patients.

[0054] Medical knowledge graph (i.e. the popular science video database in this article): stores medical knowledge and related information to assist doctors in diagnosing and explaining conditions, and to assess and analyze patients' level of informed consent.

[0055] Legal knowledge graph: including but not limited to medical dispute cases published on the China Judgments Online website, the Faxin platform, academic research results of school medical institutions, legal academic journal databases, legal databases, People's Court case databases and other medical law databases, for comparison and judgment of the legal defect risks in the doctor-patient communication process.

[0056] Other auxiliary software: such as office automation software, data analysis software, animation video production software, scoring software, etc., select according to system requirements.

[0057] The hardware part of the doctor-patient joint decision support system is introduced as follows:

[0058] Servers: These are used to deploy web servers, PHP engines, and database management systems, and to process the system's business logic and data storage. These servers can be standalone physical servers, server clusters, or distributed systems comprised of multiple physical servers. They can also be cloud servers or server clusters that provide basic cloud computing services, including cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDNs (Content Delivery Networks), and big data and artificial intelligence platforms.

[0059] Display devices: such as computer monitors, tablets or mobile phone screens, used to display information generated by the doctor-patient joint decision support system.

[0060] Network equipment, such as routers and switches, connects servers, clients, and other devices to enable network communications. Networks used may include, but are not limited to, wired networks (including local area networks, metropolitan area networks, and wide area networks) and wireless networks (including Bluetooth, Wi-Fi, and other wireless communication networks).

[0061] The primary hardware components of this doctor-patient joint decision-making support system include network and local storage, and mobile communication terminals (computers, mobile phones, tablets, etc.). Key software components include personal identity verification software, video integration software, a screenshot and recording system, an online witness system, and an evidence storage or notarization system.

[0062] It should be noted that the user terminals of the doctor-patient joint decision support system can be smartphones (such as Android phones, iOS phones, etc.), tablets, laptops, digital broadcast receivers, MIDs (Mobile Internet Devices), PDAs (Personal Digital Assistants), desktop computers, in-vehicle terminals (such as in-vehicle navigation terminals), smart speakers, smart watches, etc. The user terminals and the server can be connected directly or indirectly via wired or wireless communication, but are not limited to these. The specific connection can also be determined based on the actual application scenario requirements and is not limited here.

[0063] In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.

[0064] In current medical activities, even if doctors conduct preoperative communication with patients in accordance with existing technologies and policy and legal requirements, and both doctors and patients sign the "Informed Consent for Diagnosis and Treatment", medical disputes after diagnosis and treatment are still common. This is mainly due to the many problems with existing doctor-patient communication technologies, such as inadequate doctor-patient communication, unprotected patient rights to know, difficulties in obtaining evidence in doctor-patient communication, and incomplete disclosure due to defects in doctor-patient communication. These problems have caused great losses to people's health and the economy, and have affected the harmonious and stable situation of society. In order to solve these problems, the following are combined with Figure 1 For instructions, see Figure 1 , Figure 1 A flowchart of an artificial intelligence-based doctor-patient joint decision-making communication method provided in an embodiment of the present disclosure is provided. The method mainly includes the following steps:

[0065] Step S101: Before a patient undergoes diagnosis and treatment, the doctor-patient joint decision-making support system is used to obtain the patient's basic health information and the doctor's current diagnosis and treatment conclusion;

[0066] Step S102: Based on artificial intelligence (AI) technology, the patient's basic health information and the doctor's current diagnosis and treatment conclusion are deeply considered to obtain corresponding doctor-patient communication popular science copy. The doctor-patient communication popular science copy is used to inform the patient's personnel, including the patient and the patient's authorized health management personnel, of the medical pros and cons, risks, and precautions in the diagnosis and treatment behavior.

[0067] Step S103: When the doctor-patient communication popular science document is verified and approved by the medical staff, obtaining at least one possible diagnosis and treatment plan included in the doctor-patient communication popular science document and at least one diagnosis and treatment plan to be communicated selected by the patient staff;

[0068] In step S104, the doctor-patient joint decision-making support system records the entire process of the patient and the medical staff communicating and determining the target treatment plan based on at least one treatment plan to be communicated, and obtains a doctor-patient communication witness evidence record, wherein the doctor-patient communication witness evidence record is used to provide the patient and the medical staff with a retrospective record of the doctor-patient communication, and the doctor-patient communication witness evidence record includes the doctor-patient communication witness evidence audio, or the doctor-patient communication witness evidence audio and video.

[0069] Optionally, when the patient performs the medical treatment in the aforementioned scenario, the patient's basic health information can be obtained in the following ways: Method 1, through the doctor-patient joint decision-making assistance system, the patient's personnel (including the patient and the patient's authorized health management personnel) can enter the patient's basic health information through the basic health information entry interface; Method 2, the medical personnel can enter the patient's medical records into the hospital's official system based on the patient's condition. The doctor-patient joint decision-making assistance system can obtain the patient's medical records through the interface with the hospital's official system, and then obtain the patient's basic health information. The current diagnosis and treatment conclusion of the doctor can be directly input by the medical personnel into the doctor-patient joint decision-making assistance system, or the doctor-patient joint decision-making assistance system can obtain the current diagnosis and treatment conclusion of the doctor through the interface with the hospital's official system. It can be understood that the embodiments of the present disclosure do not impose any restrictions on the method of obtaining basic health information and the current diagnosis and treatment conclusion of the doctor.

[0070] An artificial intelligence (AI) tool is integrated into the doctor-patient joint decision-making support system. The AI tool performs in-depth analysis of the patient's basic health information and the doctor's current diagnosis and treatment conclusion, generating corresponding doctor-patient communication science and education copy. The AI tool may be DeepSeek, Doubao, Wenxinyiyan, etc., and the present disclosed embodiments do not limit the specific nature of the AI tool. In practical applications, the doctor's current diagnosis and treatment conclusion is generally one or more treatment plans determined by the doctor based on the patient's basic health information. Accordingly, the doctor-patient communication science and education copy generated by the in-depth analysis of the AI tool includes at least one candidate treatment plan. These candidate treatment plans include a primary treatment plan (including medical measures and treatment plans) and at least two alternative treatment plans, each of which includes corresponding medical measures and alternative treatment plans. The doctor-patient communication science and education copy also includes the doctor's current diagnosis and treatment conclusion, the medical benefits and risks associated with each candidate treatment plan, and patient precautions and treatment costs associated with each candidate treatment plan.

[0071] Medical personnel will verify the doctor-patient communication popular science document. Once verified, they can inform the patient about the diagnosis and treatment behavior in the following two ways:

[0072] Method 1: First, obtain at least one treatment plan that the patient wants to know more about from at least one candidate treatment plan. With the authorization of both the patient and the medical staff, play the medical communication popular science copy to the patient through the medical and patient joint decision-making assistance system, and record the audio and video of the entire process of the patient and the medical staff watching and communicating with the medical communication popular science copy by audio or video recording, so as to obtain a witness record of the medical communication.

[0073] Method 2: With the authorization of both the patient and the medical staff, the medical communication popular science copy is played to the patient through the medical and patient joint decision-making assistance system. When the part of at least one to-be-selected treatment plan is played, the patient can select at least one to-be-communicated treatment plan that he or she wants to know more about through human-computer interaction, and continue to play at least one to-be-communicated treatment plan. The medical and patient joint decision-making assistance system records the entire process of the patient and the medical staff communicating and determining the target treatment plan based on at least one to-be-communicated treatment plan in the form of audio or video recording, as well as the entire process of the patient and the medical staff watching and communicating on the medical communication popular science copy, to obtain a witness record of the medical and patient communication.

[0074] Among them, the doctor-patient communication witness evidence record includes the doctor-patient communication witness evidence audio, or the doctor-patient communication witness evidence audio and video.

[0075] It should be noted that the witness record of medical communication includes the entire process of medical communication popular science copy from the beginning to the end of the playback, as well as the entire process of communication between the doctor and the patient based on the medical communication popular science copy (including an audio file or audio-visual video of the entire process of the patient and the medical staff determining the target treatment plan based on at least one treatment plan to be communicated).

[0076] After obtaining the witnessed and recorded records of doctor-patient communication, AI technology is used to analyze and evaluate the content of the entire doctor-patient communication process to obtain the patient's informed consent (i.e., the doctor-patient communication efficiency in this article). Based on the patient's informed consent, compensatory suggestions are made to the medical side, and the medical side can further communicate with the patient based on the compensatory suggestions.

[0077] Through the embodiments disclosed herein, on the one hand, AI technology is used to generate popular science documents for doctor-patient communication, and relevant information about diagnosis and treatment behaviors is provided to patients, which can provide relevant popular science about diagnosis and treatment behaviors to patients in a more objective and comprehensive manner, thereby improving the efficiency of doctor-patient communication; on the other hand, AI technology is used to conduct a multi-dimensional analysis of the content of the entire doctor-patient communication process, and to evaluate the patient's informed consent and make compensatory suggestions to the medical side; on the other hand, through the witness and evidence records of doctor-patient communication, a retrospective record can be provided for doctor-patient communication. In actual applications, when a doctor-patient conflict occurs, the complete doctor-patient communication evidence can be queried through the witness and evidence records of doctor-patient communication, which greatly protects the rights and interests of both doctors and patients.

[0078] In an optional embodiment, the doctor-patient joint decision-making assistance system includes a doctor-patient communication witness evidence module, through which the entire process of the patient and medical personnel communicating and determining the target treatment plan based on at least one treatment plan to be communicated is recorded to obtain a doctor-patient communication witness evidence record, including: when the witness evidence operation is performed on the doctor-patient communication witness evidence module, a doctor-patient communication witness evidence information entry interface is displayed; through the doctor-patient communication witness evidence information entry interface, the first basic information of the patient and the second basic information of the medical personnel are obtained; when the first basic information and the second basic information are completed and authorized by the patient, a doctor-patient communication witness evidence record recording interface is displayed. ; Based on the doctor-patient communication witness evidence record recording interface, record and obtain the doctor-patient communication witness evidence record, wherein the doctor-patient communication witness evidence record includes at least one of the following contents: when the patient and the medical staff authorize, the patient and the medical staff conduct authorization verification during the entire process of authorization witness evidence record; when the patient is informed or played the popular science copy of the doctor-patient communication, the popular science copy notification witness evidence record contains the audio or audio-visual video of the entire process of communication between the patient and the medical staff based on at least one diagnosis and treatment plan to be communicated, wherein the popular science copy of doctor-patient communication is informed or played to the patient through oral narration by the medical staff, intelligent voice or artificial intelligence image voice.

[0079] Optionally, in order to ensure a complete chain of evidence in the doctor-patient communication process, this function can be implemented through the doctor-patient communication witness and evidence storage module in the doctor-patient joint decision-making support system. The specific process is as follows:

[0080] When both the doctor and the patient need to record evidence of the doctor-patient communication process, they can trigger the doctor-patient communication witness evidence module by clicking, that is, perform the witness evidence operation. At this time, the doctor-patient joint decision-making support system will display the doctor-patient communication witness evidence information entry interface. Through this interface, the patient can enter the corresponding first basic information, such as the relationship with the patient, name, ID number, etc. Similarly, the doctor can enter the corresponding second basic information, such as the doctor's name, etc. It is understood that the embodiments of this disclosure do not limit the specific content of the first basic information and the second basic information.

[0081] After entering the first basic information and the second basic information, the patient and medical staff can authenticate and authorize one by one. If the authorization is passed, the doctor-patient joint decision-making support system will display a doctor-patient communication witness evidence record recording interface. The doctor-patient communication witness evidence record interface will record the entire process of communication between the patient and medical staff participating in the doctor-patient communication to obtain a doctor-patient communication witness evidence record. The doctor-patient communication witness evidence record includes the sound or sound and image of the doctor-patient communication, wherein the doctor-patient communication witness evidence record includes at least one of the following contents:

[0082] Content 1: When the patient and medical staff approve the authorization, the authorization witness and evidence of the entire process of authorization verification by the patient and medical staff will be kept.

[0083] Facial identity verification can be used to verify the identities of all parties involved in doctor-patient communication, ensuring that both parties meet the legal requirements for doctor-patient communication and avoiding ineffective communication caused by errors in the communication process, which occurs in traditional doctor-patient communication. Methods including but not limited to facial comparison, facial authentication, fingerprint recognition, electronic signature verification, ID number verification, and third-party authentication such as WeChat or Alipay, or a combination of these methods, can also be used to confirm the true identity of the patient who has accepted the informed consent.

[0084] That is to say, when authorizing, it is necessary to confirm the identity information of both the doctor and the patient, as well as whether the medical representative participating in the communication is a person related to the diagnosis and treatment, and whether he or she has the corresponding diagnosis and treatment qualifications required by laws and regulations. It is also necessary to confirm whether the patient has the qualifications to perform the informed consent right on behalf of the patient, so as to avoid the medical communication being legally invalid due to participation under a false name, and to protect the patient's privacy rights. In addition, both the doctor and the patient need to authorize the screenshot, video and audio recording of the medical communication process, and have the right to retrieve information. The above actions must be carried out with the informed consent of all parties in advance. The authorization module informs all parties of the need for authorization in the form of documents and pictures. All parties need to clearly fill in whether they agree to the authorization. Only when they agree to the authorization can they carry out the above-mentioned operations. If any party disagrees with the authorization, this part of the function will be prohibited from running.

[0085] Content 2: The current diagnosis and treatment conclusion of the medical staff in the popular science document for medical communication with patients is informed or played to the patient through oral narration, intelligent voice or artificial intelligence image voice of the medical staff. When the part of at least one treatment plan to be selected is played, the patient can select at least one treatment plan to be communicated that he or she is interested in through human-computer interaction, and continue to play at least one treatment plan to be communicated through oral narration, intelligent voice or artificial intelligence image voice of the medical staff. The process of the medical staff and the patient watching and communicating with the popular science document for medical communication with patients in the above process is recorded by audio or video recording, and the audio and video of the whole process of the patient and the medical staff communicating and determining the target treatment plan based on at least one treatment plan to be communicated is recorded by audio or video recording. The obtained video is the witness record of the popular science document notification.

[0086] In actual applications, the content of the doctor-patient communication witness evidence record may include the authorization witness evidence record and the popular science document notification witness evidence record, or may only include the popular science document notification witness evidence record. The specific content of the doctor-patient communication witness evidence record may be retained according to actual needs, and the present disclosed embodiment does not limit this.

[0087] Through the disclosed embodiments, the real-time audio or audio and image of the patient's communication and interaction with the doctor and the patient during the patient's reading and viewing of popular science documents on medical communication, as well as the dynamic playback of the video, can be recorded to comprehensively record the entire process and results of the doctor's fulfillment of the obligation to inform and the patient's ability to make informed decisions. In the later diagnosis and treatment process, if the doctor and the patient have differences on the results, the doctor-patient communication process can be traced back to clarify whether the doctor has fulfilled the obligation to inform and whether the patient has the ability to consent to the informed consent. The rights and obligations of both the doctor and the patient can be judged based on the evidence in a more objective and complete manner. The doctor-patient differences and contradictions can be resolved through real evidence, and the doctor can be promoted to responsibly fulfill the obligation to inform the patient, so that the patient's right to informed consent is effectively protected. Many problems such as the patient being forced to agree when he does not have the ability to make a decision and the lack of an evidence chain in the doctor-patient communication process can be reduced, so that the doctor-patient differences can be fairly negotiated and resolved within the framework of evidence and law, further protecting the legitimate rights and interests of both the doctor and the patient, and building a new type of harmonious doctor-patient relationship.

[0088] In an optional embodiment, the doctor-patient joint decision-making assistance system includes a playback module for doctor-patient communication popular science copy, which includes the doctor's current diagnosis and treatment conclusion, at least one to-be-selected diagnosis and treatment plan, the medical pros and cons corresponding to each to-be-selected diagnosis and treatment plan, and the patient's corresponding precautions for each plan. The above method also includes: converting the doctor-patient communication popular science copy into the corresponding doctor-patient communication popular science voice through the playback module for the doctor-patient communication popular science copy, and playing the doctor's current diagnosis and treatment conclusion contained in the doctor-patient communication popular science voice to the patient through a virtual anchor; when the doctor's current diagnosis and treatment conclusion is notified, displaying at least one to-be-selected diagnosis and treatment plan, and obtaining at least one to-be-communicated diagnosis and treatment plan selected by the patient; playing the to-be-communicated diagnosis and treatment plans and the patient's precautions corresponding to the to-be-communicated diagnosis and treatment plans to the patient in sequence or in a designated manner.

[0089] Optionally, the popular science copy for doctor-patient communication includes the doctor's current diagnosis and treatment conclusion, at least one to-be-selected treatment plan, the medical pros and cons corresponding to each to-be-selected treatment plan, and the patient's precautions corresponding to each to-be-selected treatment plan. The present disclosure provides a specific method for playing the popular science copy for doctor-patient communication, as shown below:

[0090] The doctor-patient joint decision-making support system includes a playback module for popular science documents on doctor-patient communication. Through the playback module, the popular science documents on doctor-patient communication can be converted into standardized text suitable for speech synthesis through text preprocessing (Text Normalization), and then the standardized text is processed through linguistic analysis (Linguistic Analysis) to obtain speech units processed by linguistic analysis. Through speech synthesis (Speech Synthesis) technology, the speech units processed by linguistic analysis are subjected to speech synthesis processing to obtain synthesized speech. Then, the spectral features of the synthesized speech are predicted through an acoustic model to obtain the spectral features of the synthesized speech. The spectral features of the synthesized speech are converted into audible waveforms to obtain a speech sequence. Then, the speech sequence is aligned with its corresponding text through an attention mechanism to obtain the popular science speech corresponding to the doctor-patient communication document.

[0091] The playback module of the popular science text for doctor-patient communication in the doctor-patient joint decision-making assistance system is connected to the 3D animation system, and the popular science voice for doctor-patient communication is played through the virtual anchor (i.e., 3D anchor (virtual digital human)) in the 3D animation system.

[0092] When playing the popular science voice for doctor-patient communication, the doctor's current diagnosis and treatment conclusion can be played first. When the doctor's current diagnosis and treatment conclusion is played, the playback interface will display at least one option corresponding to the treatment plan to be selected. At this time, the patient can select at least one treatment plan to be communicated that he or she wants to know more about. Then, the treatment plans to be communicated and the corresponding patient precautions will be played to the patient in sequence or in a designated manner.

[0093] Through the embodiments disclosed herein, popular science documents on medical-patient communication can be introduced to patients through explanations by a virtual host. Compared with the prior art in which oral notification is given by doctors, patients can be informed of relevant diagnosis and treatment behaviors in a more comprehensive and objective manner, thereby improving the efficiency of medical-patient communication and increasing the patients' level of awareness.

[0094] In an optional embodiment, the above method also includes: when recording the medical communication witness evidence record, detecting whether the actual participants in the medical communication witness evidence record recording interface are consistent with the number or identity of the pre-entered participants, wherein the number or identity of the pre-entered participants is determined by the number or identity of the patient representatives corresponding to the patient, and the number or identity of the medical representatives corresponding to the patient; if inconsistent, a pre-set prompt message is displayed in the medical communication witness evidence record recording interface.

[0095] Optionally, a doctor-patient communication meeting record verification function can be added to the doctor-patient communication witness and evidence storage module. When recording the doctor-patient communication witness and evidence storage record, the patient and doctor personnel involved in the communication can be verified. This can be achieved in the following ways:

[0096] Method 1: During the screen recording process, compare the number of people in the recording screen of the doctor-patient communication witness record with the number of people filled in the meeting file (that is, the number of people corresponding to the first basic information and the second basic information). If the number of people in the screen is less than the number of people filled in the meeting file, a text prompt can be given.

[0097] Alternatively, during the screen recording process, the identity of the person in the recording screen of the doctor-patient communication witness record is compared with the identity of the person filled in the meeting file (that is, the identity of the person corresponding to the first basic information and the second basic information). If the identity of the person in the screen is inconsistent with the identity of the person filled in the meeting file, a text prompt can be given.

[0098] The prompt text may be "The number of participants is inconsistent with the registered number, please verify the participants before starting the meeting", etc., which is not limited in the embodiment of the present disclosure.

[0099] Method 2: While recording the entire conversation through the doctor-patient communication witness and evidence recording interface, data analysis is performed on the doctor-patient communication efficiency. After the doctor-patient communication video (i.e., doctor-patient communication witness and evidence recording) is recorded, the video recording is scored for doctor-patient communication efficiency. Managers can select a communication efficiency threshold. Doctor-patient communication videos that fall below this threshold are manually reviewed, and supplementary measures are developed to improve doctor-patient communication, thereby improving management efficiency.

[0100] The second verification method is described in detail below through several embodiments.

[0101] In an optional embodiment, the method further includes: displaying a doctor-patient communication feedback interface when the doctor-patient communication witness evidence record is recorded; displaying a doctor-patient communication feedback interface when the doctor-patient communication witness evidence record is recorded; obtaining a feedback result input through the doctor-patient communication feedback interface, wherein the feedback result corresponds to at least one question to be fed back by the patient in the doctor-patient communication feedback interface; evaluating the doctor-patient communication efficiency based on at least one preset dimensional indicator to obtain the doctor-patient communication efficiency, wherein the feedback result belongs to one of the preset dimensional indicators;

[0102] Among them, the doctor-patient communication efficiency is determined by the following formula:

[0103]

[0104] Among them, G is the doctor-patient communication efficiency, which is used to indicate the communication efficiency between the patient and the doctor;

[0105] N is the total number of dimension indicators, N is a positive integer;

[0106] j is the j-th dimension index, 1≤j≤N;

[0107] is the weight coefficient of the j-th dimension indicator, where the weight coefficient of each dimension indicator is pre-set according to the importance of the dimension indicator;

[0108] is the actual evaluation value of the j-th dimension indicator;

[0109] is the preset maximum value of the j-th dimension indicator;

[0110] It is a percentage, used to convert G into a percentage.

[0111] Optionally, after the patient has communicated with the medical staff about the popular science document on medical communication, they will receive a record of the medical communication witness evidence. This record can be automatically analyzed by a computer to obtain the medical communication efficiency, which can be used to assess whether the patient has mastered the basic knowledge, ability, and mental state necessary to make decisions. In the evaluation of medical communication efficiency, except for the lack of civil capacity, it is generally not necessary to collect information such as the patient's age, education, home address, etc. that has little impact on the patient's level of knowledge. Managers can select a communication efficiency threshold, manually review medical communication videos below this threshold, and formulate measures to supplement and improve medical communication, which can improve management efficiency.

[0112] The efficiency of doctor-patient communication can be quantified by using a single or multi-dimensional approach (i.e., a combination of single or multiple dimensional indicators). The efficiency of doctor-patient communication can be determined by the following formula:

[0113] The efficiency of doctor-patient communication can be determined by the following formula:

[0114]

[0115] Among them, G is the doctor-patient communication efficiency, which is used to represent the communication efficiency between the patient and the doctor; N is the total number of dimension indicators, N is a positive integer; j is the jth dimension indicator, 1≤j≤N; is the weight coefficient of the j-th dimension indicator, which can be pre-set according to the weight ratio of each dimension indicator and must satisfy ∑ =1. For example, assuming there are 6 dimensions, the weight coefficients of each dimension can be set as follows: the weight coefficient of dimension 1 is 5%, the weight coefficient of dimension 2 is 15%, the weight coefficient of dimension 3 is 15%, the weight coefficient of dimension 4 is 10%, the weight coefficient of dimension 5 is 20%, and the weight coefficient of dimension 6 is 35%. In actual application, the ratio of dimension indicators and corresponding weight coefficients can be adjusted according to different popular science copywriting for doctor-patient communication; is the actual evaluation value of the j-th dimension indicator. In other words, is the measured value of the j-th dimension indicator, satisfying 0≤ ≤ ; is the preset maximum value of the j-th dimension indicator, that is, the theoretical limit value; is a percentage, used to convert G into a percentage. In other words, d is the global scale factor, usually a fixed value of 100, used to achieve percentage conversion; / The scores of each dimension can be mapped to the interval [0,1] to eliminate quantitative differences.

[0116] In an optional embodiment, the dimensional indicators include at least one of the following: the duration of doctor-patient interaction when participating in the recording of doctor-patient communication witness and evidence record; the duration of the patient's opinion expression when participating in the recording of doctor-patient communication witness and evidence record; the semantic logic of the patient's opinion expression when participating in the recording of doctor-patient communication witness and evidence record; the clarity of the patient's answer to the question when participating in the recording of doctor-patient communication witness and evidence record; the logical coherence of the semantics explained by the doctor when participating in the recording of doctor-patient communication witness and evidence record; whether there are legal defects in the semantics explained by the doctor when participating in the recording of doctor-patient communication witness and evidence record; whether the semantics explained by the doctor when participating in the recording of doctor-patient communication witness and evidence record are complete and sufficient from a medical point of view.

[0117] Optionally, when setting the dimensional indicators, they can be divided according to the core content of the right to know, for example, questionnaire feedback, patient opinion expression, AI intelligent logic analysis, etc. In order to more clearly illustrate the dimensional indicators, the embodiment of the present disclosure provides an example of dimensional indicators and evaluation assignment s, as shown in Table 1:

[0118] Table 1

[0119] For the above-mentioned dimension 5, after the patient has communicated with the medical staff on the popular science copy of the doctor-patient communication, that is, after the recording of the doctor-patient communication witness record is completed, the questions that require the patient's feedback will be displayed. The patient can obtain the corresponding feedback results according to the questions in the questionnaire in sequence. The feedback results can be used as the actual evaluation value of one of the dimensional indicators to determine the efficiency of doctor-patient communication.

[0120] For the above-mentioned dimension 6, in an optional embodiment, based on artificial intelligence AI technology, semantic information extraction is performed on the doctor-patient communication witness evidence record to obtain the patient's semantic information when the patient expresses his opinions, and the medical staff's semantic information when the medical staff expresses their opinions; semantic features are extracted from the patient's semantic information and the medical staff's semantic information respectively to obtain the patient's semantic features and the medical staff's semantic features; semantic analysis is performed on the patient's semantic features and the medical staff's semantic features respectively to obtain the patient's semantic logic corresponding to the patient staff, and the medical staff's semantic logic corresponding to the medical staff; based on the patient's semantic logic, the actual evaluation values corresponding to the first patient's dimension indicator and the second patient's dimension indicator are determined respectively, wherein the first patient's dimension indicator is the patient's semantic features when participating in the recording of the doctor-patient communication witness evidence record. The dimensional indicator corresponding to the semantic logic when expressing opinions, the second patient dimensional indicator is the dimensional indicator corresponding to the clarity of the patient's answer to the question when participating in the recording of the doctor-patient communication witness and evidence record; based on the doctor's semantic logic, the actual evaluation values corresponding to the first doctor's dimensional indicator, the second doctor's dimensional indicator and the third doctor's dimensional indicator are determined respectively, among which the first doctor's dimensional indicator is the dimensional indicator corresponding to the logical coherence of the semantics expounded by the doctor when participating in the recording of the doctor-patient communication witness and evidence record, the second doctor's dimensional indicator is the dimensional indicator corresponding to whether there are legal defects in the semantics expounded by the doctor when participating in the recording of the doctor-patient communication witness and evidence record, and the third dimensional indicator is the dimensional indicator corresponding to whether the semantics expounded by the doctor when participating in the recording of the doctor-patient communication witness and evidence record is complete and sufficient from a medical point of view.

[0121] Optionally, when determining the actual evaluation values of the first patient-side dimension indicator and the second patient-side dimension indicator, artificial intelligence (AI) technology can be used to extract the patient's voice information when the patient expresses his or her opinions in the medical communication witness record, and convert the patient's voice information into corresponding patient semantic information. Feature extraction is performed on the patient's semantic information to obtain patient semantic features, and then semantic analysis is performed on the patient's semantic features to obtain corresponding patient semantic logic. By analyzing the patient's semantic logic, the actual evaluation values of the first patient-side dimension indicator and the second patient-side dimension indicator are determined.

[0122] In practical applications, AI technology can be used to judge the patient's comprehension and risk recognition ability through his or her speech, tone, communication error rate, and facial expressions in the doctor-patient communication video (i.e., the doctor-patient communication witness record); and the doctor-patient communication efficiency can be calculated by filling out feedback questionnaires and operating software behavior records. The level of awareness ranges from 0 to 1, where a level below 40% indicates that the viewer does not have a sufficient understanding of the patient's condition and the pros and cons of treatment. It is not recommended to exercise the right to consent to treatment decisions at this time, and the doctor needs to further communicate to improve the viewer's level of awareness; 40-60% means that the viewer has a certain level of awareness, but it needs to be increased to above 60% before exercising the right to consent to treatment decisions. The doctor needs to further evaluate whether the patient's expectations for the results of this treatment are reasonable.

[0123] Optionally, when determining the actual evaluation values corresponding to the first medical dimension indicator, the second medical dimension indicator, and the third medical dimension indicator, artificial intelligence (AI) technology can be used to extract the medical voice information of the Chinese medicine personnel expressing their opinions in the medical communication witness records, and convert the medical voice information into corresponding medical semantic information. Based on the medical semantic information, it can be determined whether the semantics elaborated in the medical communication has logical coherence, legal defects, and complete and sufficient disclosure.

[0124] In an optional embodiment, based on the medical prescription semantic logic, the actual evaluation values corresponding to the first medical prescription dimension indicator, the second medical prescription dimension indicator and the third medical prescription dimension indicator are respectively determined, including: using artificial intelligence AI technology, based on the medical prescription semantic logic, analyzing the coherence between the various words of the semantics explained by the medical prescription and the mutual relationship between the various words to obtain a first analysis result, and determining the first medical prescription dimension indicator based on the first analysis result; using artificial intelligence AI technology, based on the medical prescription semantic logic, analyzing the mutual relationship between the various words of the semantics explained by the medical prescription, and comparing the various words of the semantics explained by the medical prescription with the legal knowledge map to determine Determine whether there are any legal knowledge deficiencies in the various words of the semantics expounded by the medical prescription, obtain a second analysis result, and determine a second medical prescription dimension indicator based on the second analysis result; through artificial intelligence AI technology, based on the medical prescription semantic logic, analyze the mutual relationship between the various words of the semantics expounded by the medical prescription, and compare the various words of the semantics expounded by the medical prescription with the medical knowledge graph, analyze whether there are any medical knowledge deficiencies in the various words of the semantics expounded by the medical prescription, obtain a third analysis result, and determine a third medical prescription dimension indicator based on the third analysis result; wherein, the mutual relationship between the various words of the semantics expounded by the medical prescription includes a reference relationship, a causal relationship and / or an inclusion relationship.

[0125] Optionally, first establish a knowledge graph for doctor-patient communication, including more than one thousand (no limit on the number) medical knowledge, laws, and judicial interpretations for doctor-patient communication, and integrate this knowledge into a grammar; distinguish this knowledge according to correct and incorrect examples, construct a vector representation, and build a hierarchical structure and semantic language for medicine and law.

[0126] Secondly, identify the relationships between entities (reference relationships, causal relationships, inclusion relationships); extract legal subjects, behaviors, rights and obligations and other elements in the dialogue; analyze the legal relationships between elements; and compare with the standard models in the knowledge graph.

[0127] Then, a logical risk analysis is conducted, which mainly includes the following analyses: 1. Contradiction detection: identifying conflicting medical legal claims in the dialogue; 2. Implicit premise analysis: revealing assumptions that are not explicitly stated but affect the effectiveness of the notification; 3. Reasoning chain verification: checking the medical rigor of the logic of the argument; analyzing the completeness loopholes of medical notification in various possible situations; 4. Necessary clause check: verifying whether the dialogue contains the necessary clauses in the regulations for doctor-patient communication; 5. Identification of ambiguous expressions: detecting expressions that may lead to differences in interpretation; 6. Rights and obligations balance analysis: evaluating whether the rights and obligations of both parties are equal; 7. Risk level assessment; evaluating the historical risk results of various loopholes based on case data in the knowledge graph; and quantifying the degree of risk in combination with the discretionary standards in judicial practice.

[0128] The technical paths required to achieve the above analysis and judgment include: natural language processing technology, pre-trained language models in the legal field (such as Legal-BERT, including Bidirectional Encoder Representations from Transformers (BERT)), domain-adaptive named entity recognition and relationship extraction, graph neural network applications, reasoning and completion on graphs, abnormal pattern detection, explainable AI technology, and medical and legal basis explanations for generating risk points.

[0129] This analytical method can systematically analyze the medical and legal risks in the language, including both surface expression problems and deep-seated semantic expression, logical defects, and structural loopholes.

[0130] In an optional embodiment, the above method also includes: for the second analysis result, when the second analysis result indicates that there are legal knowledge deficiencies in the semantics elaborated by the medical party, using artificial intelligence AI technology, generating a corresponding first modification opinion for the second analysis result, and displaying the first modification opinion on the medical communication witness and evidence record recording interface, wherein the first modification opinion is used to prompt the medical personnel to inform the patient personnel of legal knowledge in accordance with the first modification opinion; and / or, for the third analysis result, when the third analysis result indicates that there are medical knowledge deficiencies in the semantics elaborated by the medical party, using artificial intelligence AI technology, generating a corresponding second modification opinion for the third analysis result, and displaying the second modification opinion on the medical communication witness and evidence record recording interface, wherein the second modification opinion is used to prompt the medical personnel to inform the patient personnel of medical knowledge in accordance with the second modification opinion.

[0131] Optionally, after the doctor-patient communication is completed, artificial intelligence is used to compare the medical and legal knowledge graphs, analyze the communication defects and legal risks, and provide remedial suggestions, namely the first and second revision opinions mentioned above. The medical and legal knowledge graphs can be compared using a shared knowledge graph or a manually trained exclusive knowledge graph. The specific operation is to first convert the communication content audio and video into recognizable Mandarin text, and then compare the coherent semantics of the conversation with the existing cases and knowledge points in the knowledge graph. For discourse with obvious defects, artificial intelligence is used to reorganize it, analyze the possible defects, and combine the existing conversations to provide words and text to make up for the communication.

[0132] Through the disclosed embodiments, AI artificial intelligence is used to analyze and compare the content of doctor-patient communication with medical information maps and legal information maps, and to make real-time suggestions for remedial measures such as incomplete disclosure, semantic deviation in disclosure, and legal defects, thereby further protecting the legitimate rights and interests of patients and reducing medical errors.

[0133] In an optional embodiment, the doctor-patient communication process can also be recorded in the following manner, mainly using computer technology to create an archive of the image data of the doctor-patient communication. The recording items and specific contents of the records are shown in Table 2.

[0134]

[0135] Table 2

[0136] The record items shown in Table 2 and the specific content corresponding to each record item can be used to evaluate the doctor-patient communication witness records and obtain the corresponding doctor-patient communication efficiency. Through the obtained doctor-patient communication efficiency, we can understand the patient's awareness and the doctor's disclosure level.

[0137] Through the disclosed embodiments, a computer intelligent judgment is made on the communication effect of each video using the doctor-patient communication efficiency scoring index. Medical staff and management personnel can quickly select cases that require further communication and attention based on the scoring results (i.e., doctor-patient communication efficiency), thereby greatly improving management efficiency.

[0138] In an optional embodiment, the above method also includes: generating a unique hash value for the medical communication witness evidence record to obtain a traceable medical communication witness evidence record, saving the traceable medical communication witness evidence record to a designated storage medium, and transmitting the traceable medical communication witness evidence record in the designated storage medium to a third-party agency, so that the third-party agency saves the traceable medical communication witness evidence record to a designated terminal storage device or cloud storage device; or, transmitting the medical communication witness evidence record to the third-party agency, determining whether the medical communication witness evidence record contains a hash value, and if not, generating a unique hash value for the medical communication witness evidence record to obtain a traceable medical communication witness evidence record, and saving it to a terminal storage device or cloud storage device designated by the third-party agency; wherein the third-party agency is an agency independent of patient personnel and medical personnel with the ability to store evidence and prevent tampering supervision, and the third-party agency includes at least one of the following: a notary office, a law firm, a government functional agency, an Internet court evidence platform, and an electronic evidence online platform.

[0139] Optionally, the doctor-patient joint decision-making support system includes a backend storage and evidence witnessing notarization module. A unique hash value is generated for the doctor-patient communication evidence record obtained through the doctor-patient joint decision-making support system to obtain a traceable doctor-patient communication evidence record. This traceable doctor-patient communication evidence record is then transmitted and stored on a designated storage medium (local storage or cloud server). This traceable doctor-patient communication evidence record is then transmitted to a third-party witness organization, which can then store it on a designated terminal storage device or cloud storage device. Alternatively, the doctor-patient communication evidence record can be directly transmitted to the third-party witness organization, and a determination is made as to whether the doctor-patient communication evidence record contains a hash value. If not, a unique hash value is generated for the doctor-patient communication evidence record to obtain a traceable doctor-patient communication evidence record and store it on a designated terminal storage device or cloud storage device. Later, verifying whether the hash value has changed can be used to determine whether the stored and transmitted file has been tampered with or edited since recording.

[0140] Among them, third-party witness institutions are institutions independent of patient and medical personnel and have the ability to store evidence and conduct tamper-proof supervision. Third-party witness institutions include at least one of the following: notary offices, law firms, government agencies (such as medical and health supervision agencies), Internet court evidence storage platforms, and online electronic evidence storage platforms. For example, transmitting traceable doctor-patient communication witness records to government agencies such as medical and health supervision agencies can not only be used for evidence storage, but also for monitoring medical quality. Transmitting traceable doctor-patient communication witness records to notary offices can witness and notarize the stored files in real time, ensuring the authenticity, integrity, and relevance of all stored data.

[0141] Optionally, records of doctor-patient communication witnesses can be stored on the blockchain to create a traceable record of doctor-patient communication witnesses. Blockchain is a decentralized distributed ledger technology that, through encryption algorithms, consensus mechanisms, and peer-to-peer networks, ensures data immutability, transparency, and traceability.

[0142] For medical staff, the backend management module (i.e., the hospital's backend management system) allows them to configure terminals, rules, and personnel, as well as access doctor-patient communication information and recorded videos. By inputting patient information into the backend management module, corresponding videos can be retrieved (e.g., retrospective doctor-patient communication witness records). This allows medical treatment managers at medical institutions to promptly monitor and improve the quality of doctor-patient communication.

[0143] Through the disclosed embodiments, this method of storing traceable medical communication witness evidence records through a third-party witness agency ensures that the traceable medical communication witness evidence records cannot be tampered with, as the third-party witness agency is independent of medical personnel and patient personnel, thereby greatly protecting the rights and interests of both doctors and patients.

[0144] In an optional embodiment, the above method also includes: in the event of a medical dispute between the patient and the medical staff, obtaining the traceable medical communication witness and evidence records stored by a third-party organization, so that the patient and the medical staff can communicate based on the traceable medical communication witness and evidence records.

[0145] Optionally, if the doctor and the patient disagree on the diagnosis and treatment results, the doctor-patient communication process can be traced back through the traceable doctor-patient communication witness and evidence records to clarify whether the doctor has fulfilled the obligation to inform and whether the patient has the ability to consent to the informed consent. The rights and obligations of the doctor and the patient can be judged based on the evidence provided by the traceable doctor-patient communication witness and evidence records, which can be more objective and complete. Resolve doctor-patient disagreements and contradictions through real evidence, promote the doctor to responsibly fulfill the obligation to inform the patient, and effectively protect the patient's right to informed consent. Reduce many problems in doctor-patient communication, such as patients being forced to agree when they do not have the ability to make decisions, and the lack of an evidence chain in the doctor-patient communication process, and promote fair negotiation and resolution of doctor-patient disagreements within the framework of evidence and law, further protect the legitimate rights and interests of both doctors and patients, and build a new type of harmonious doctor-patient relationship.

[0146] The following combination Figure 2 The process of the artificial intelligence-based doctor-patient joint decision-making communication method in the embodiment of the present disclosure is described. Figure 2 A flowchart of another method for doctor-patient joint decision-making communication based on artificial intelligence provided by an embodiment of the present disclosure is shown as follows: Figure 2 The specific steps are as follows:

[0147] Step S201, log in to the personal center of the doctor-patient joint decision-making support system, and click on the "doctor-patient communication meeting witness notarization" function module.

[0148] Figure 3 This is a schematic diagram of a login interface of a doctor-patient joint decision support system provided by an embodiment of the present disclosure, such as Figure 3 As shown, open the user system login interface (i.e., the login interface of the doctor-patient joint decision-making support system). The user needs to enter the correct login information in the text box in sequence and check the notification file. The input information includes: 1) login mobile phone number; 2) login password.

[0149] Then, click the "Log in Now" button to verify the login. After successful verification, you will enter the personal center interface. Figure 4 A schematic diagram of a personal center interface provided by an embodiment of the present disclosure is shown as follows: Figure 4 As shown, the personal center page supports operations such as logging out and clicking to jump to the corresponding function module. The personal center page includes the "Doctor-patient Communication Meeting Witness Evidence Notarization" function module.

[0150] Step S202: Read the notes and complete the third-party witness file.

[0151] Click the "Doctor-Patient Communication Meeting Witness Notarization" function module on the Personal Center page. This will take you to the relevant matters reading page, where the patient's staff can read the matters in order. After reading the matters, you will be directed to the third-party witness file filling page. Figure 5This is a schematic diagram of a third-party witness file filling page provided in an embodiment of the present disclosure, such as Figure 5 As shown, fill in the patient information, patient agent information and other information in sequence. After filling in, click "Confirm and Submit" to verify the content. If the verification passes, jump to the next step of facial verification.

[0152] Step S203: Face verification. Patients (the patient and / or their authorized healthcare manager) must click "Authorization Confirmation" to complete the face verification. Once all verifications are passed, they check the consent document and click "Confirm and Submit" to verify the content and proceed to the next step of recording the communication meeting.

[0153] Optional, Figure 6 A schematic diagram of an authorization confirmation interface provided by an embodiment of the present disclosure, such as Figure 6 As shown, the patient's personnel can fill in their identity information on this page. After completing the information, click the "Authorization Confirmation" button to conduct facial verification. When the facial verification is passed, a prompt indicating that the facial verification is passed will be displayed.

[0154] Figure 7 A schematic diagram of an authorization interface provided by an embodiment of the present disclosure is shown as follows: Figure 7 As shown, if the face verification is passed, the interface will display the relevant information of the face verification, such as Figure 7 The prompts shown are "Zhang Sanren's face verification passed" and "The face verification information is consistent with the entered personnel information".

[0155] Step S204: Notarization of the communication meeting by a third party witness.

[0156] Figure 8 This is a schematic diagram of a recording interface for starting a doctor-patient communication conference provided by an embodiment of the present disclosure, such as Figure 8 As shown, click "Start Recording" to call the device's front camera to start recording the doctor-patient meeting communication process.

[0157] When you click the "Start Recording" button, you will enter Figure 9 The page shown, Figure 9 This is a schematic diagram of a doctor-patient communication conference recording page provided by an embodiment of the present disclosure, such as Figure 9 As shown, 90 is the recording screen of the doctor-patient communication meeting, 91 and 92 are the participants of the doctor-patient communication meeting, and the doctor-patient communication witness record can be recorded through this page. Among them, click the "Don't save, re-record" button to re-record the doctor-patient communication meeting.

[0158] Step S205: After the communication between the doctor and the patient is completed, the recording can be ended to obtain a witness record of the doctor-patient communication.

[0159] like Figure 9As shown, when the doctor and patient have completed the communication, click "End communication, save data" to stop recording and jump to the submission success page. At the same time, upload the video (the video is the witness record of the doctor-patient communication) to a third-party agency to generate the corresponding notarized witness certificate.

[0160] Step S206: After the doctor-patient conversation is completed, click the analysis button to use artificial intelligence to compare the knowledge graph, analyze the communication defects and legal risks, and provide remedial suggestions.

[0161] Figure 10 A schematic diagram of a conversation analysis interface provided by an embodiment of the present disclosure, such as Figure 10 As shown, click the "Conversation Analysis" button 101 on site, and the system uses artificial intelligence to integrate and analyze the medical knowledge map and legal risk map with the conversation content (i.e., the conversation content between the doctor and the patient in the doctor-patient communication witness record), find out whether there are incomplete doctor-patient communication, medical defects or legal risks, and organize the results into a text conclusion (i.e. Figure 10 The text part in the message will be displayed on the doctor's interface for the doctor to review in real time and evaluate whether to make up for the loss immediately.

[0162] In an optional embodiment, during the doctor-patient communication process, real-time text translation and real-time analysis can be performed. That is, the system will translate and analyze each communication between the doctor and the patient in real time, and display the corresponding problem analysis prompts on the screen for the doctor to review in real time and evaluate whether to make up for the communication immediately.

[0163] In an optional embodiment, the patient's staff can view the doctor-patient communication records. The specific operations are as follows: the patient's staff can log in to the personal center, click "Communication Record Query" to enter the doctor-patient communication meeting record list, and support clicking to view details.

[0164] For example, Figure 11 This is a schematic diagram of a doctor-patient communication meeting record list page provided by an embodiment of the present disclosure, such as Figure 11 As shown, this page displays at least one doctor-patient communication meeting record that the patient has communicated with. Each doctor-patient communication meeting record includes information such as the serial number, the doctor who communicated, the time of communication, and the patient's representative. Click the "View Details" button to enter the communication meeting details interface. Figure 12 A schematic diagram of a communication meeting details interface provided by an embodiment of the present disclosure, such as Figure 12 As shown, this page displays the serial number, communication time, communicating doctor, patient information and patient agent information of the doctor-patient communication meeting.

[0165] Through the disclosed embodiment, patients can record doctor-patient communication meetings through the doctor-patient joint decision-making assistance system, providing complete evidence for the communication between the doctor and the patient. The doctor-patient joint decision-making assistance system is easy to operate, and each interface is open and transparent, protecting the rights and interests of patients.

[0166] It should be noted that the doctor-patient joint decision-making support system in the embodiment of the present disclosure has been realized as a software product. In order to more clearly show the details of the graphical user interface of the doctor-patient joint decision-making support system in the embodiment of the present disclosure after the software product is realized, the following Figure 13 Show part of the graphical user interface, Figure 13 A screenshot of a graphical user interface of a personal center provided in an embodiment of the present disclosure, such as Figure 13 As shown, the personal center interface provides four functional modules: "preoperative science education", "doctor-patient communication meeting witness notarization", "education file query" and "communication record query". Figure 13 and Figure 4 It should also be noted that in the embodiments of the present disclosure Figure 3 ,as well as Figures 5 to 12 They are all drawn based on the graphical user interface of the doctor-patient joint decision-making support system software after it is commercialized. The embodiments of this disclosure will no longer show the actual graphical user interfaces of the software after it is commercialized.

[0167] The present disclosure provides an artificial intelligence-based doctor-patient joint decision-making communication device, such as Figure 14 As shown, the artificial intelligence-based doctor-patient joint decision-making communication device 130 may include: a first acquisition module 1301, a first processing module 1302, a second acquisition module 1303, and a witness evidence storage module 1304, wherein:

[0168] The first acquisition module 1301 is used to obtain the patient's basic health information and the doctor's current diagnosis and treatment conclusion through the doctor-patient joint decision-making support system before the patient undergoes diagnosis and treatment.

[0169] The first processing module 1302 is configured to, based on artificial intelligence (AI) technology, deeply analyze the patient's basic health information and the doctor's current diagnosis and treatment conclusions to generate corresponding doctor-patient communication popular science copy. The doctor-patient communication popular science copy is used to inform the patient's personnel, including the patient and the patient's authorized health management personnel, of the medical pros and cons, risks, and precautions involved in the diagnosis and treatment.

[0170] The second acquisition module 1303 is configured to obtain, when the doctor-patient communication popular science document is verified and approved by the medical staff, at least one possible diagnosis and treatment plan included in the doctor-patient communication popular science document and the at least one diagnosis and treatment plan to be communicated selected by the patient staff;

[0171] The witness evidence module 1304 records the entire process of the patient and medical staff communicating and determining the target treatment plan based on at least one treatment plan to be communicated through the medical and patient joint decision-making support system, and obtains a medical and patient communication witness evidence record, wherein the medical and patient communication witness evidence record is used to provide the patient and medical staff with a retrospective record of medical and patient communication, and the medical and patient communication witness evidence record includes medical and patient communication witness evidence audio, or medical and patient communication witness evidence audio and video.

[0172] Optionally, the doctor-patient joint decision-making support system includes a doctor-patient communication witness evidence module, and the witness evidence module 1304 is specifically used to: display a doctor-patient communication witness evidence information input interface when the witness evidence operation is performed on the doctor-patient communication witness evidence module; obtain the first basic information of the patient and the second basic information of the medical staff through the doctor-patient communication witness evidence information input interface; display a doctor-patient communication witness evidence record recording interface when the first basic information and the second basic information are entered and the patient's authorization is passed; record and obtain the doctor-patient communication witness evidence record on the doctor-patient communication witness evidence record recording interface, Among them, the doctor-patient communication witness evidence record includes at least one of the following contents: the authorization witness evidence record of the entire process when the patient and the medical staff conduct authorization verification, if authorized by the patient and the medical staff; the science popularization copy notification witness evidence record of the entire process when the patient is informed or played the doctor-patient communication science popularization copy, wherein the science popularization copy notification witness evidence record includes the audio or audio-visual video of the entire process when the patient and the medical staff communicate based on at least one diagnosis and treatment plan to be communicated, wherein the doctor-patient communication science popularization copy is informed or played to the patient through oral narration by the medical staff, intelligent voice or artificial intelligence image voice.

[0173] Optionally, the doctor-patient joint decision-making assistance system includes a playback module for doctor-patient communication popular science copy, which includes the doctor-patient communication popular science copy including the doctor's current diagnosis and treatment conclusion, at least one to-be-selected diagnosis and treatment plan, the medical pros and cons corresponding to each to-be-selected diagnosis and treatment plan, and the patient's precautions corresponding to each to-be-selected diagnosis and treatment plan. The above-mentioned device also includes a playback module, which is used to: convert the doctor-patient communication popular science copy into the corresponding doctor-patient communication popular science voice through the playback module of the doctor-patient communication popular science copy, and play the doctor's current diagnosis and treatment conclusion contained in the doctor-patient communication popular science voice to the patient through a virtual anchor; when the doctor's current diagnosis and treatment conclusion has been notified, display at least one to-be-selected diagnosis and treatment plan, and obtain at least one to-be-communicated diagnosis and treatment plan selected by the patient; play the to-be-communicated diagnosis and treatment plans and the patient's precautions corresponding to each to-be-communicated diagnosis and treatment plan to the patient in sequence or in a designated manner.

[0174] Optionally, the above-mentioned device further includes a doctor-patient communication efficiency analysis module, which is used to: display a doctor-patient communication feedback interface when the doctor-patient communication witness and evidence record is completed; obtain feedback results input through the doctor-patient communication feedback interface, wherein the feedback results correspond to at least one question to be fed back by the patient in the doctor-patient communication feedback interface; evaluate the doctor-patient communication efficiency based on at least one preset dimensional indicator to obtain the doctor-patient communication efficiency, wherein the feedback result belongs to one of the preset dimensional indicators; wherein the doctor-patient communication efficiency is determined by the following formula:

[0175]

[0176] Among them, G is the doctor-patient communication efficiency, which is used to indicate the communication efficiency between the patient and the doctor;

[0177] N is the total number of dimension indicators, N is a positive integer;

[0178] j is the j-th dimension index, 1≤j≤N;

[0179] is the weight coefficient of the j-th dimension indicator, where the weight coefficient of each dimension indicator is pre-set according to the importance of the dimension indicator;

[0180] is the actual evaluation value of the j-th dimension indicator;

[0181] is the preset maximum value of the j-th dimension indicator;

[0182] It is a percentage, used to convert G into a percentage.

[0183] Optionally, the dimensional indicators include at least one of the following: the dimensional indicators include at least one of the following: the length of doctor-patient interaction when participating in the recording of doctor-patient communication witness and evidence record; the length of time the patient expresses his or her opinions when participating in the recording of doctor-patient communication witness and evidence record; the semantic logic of the patient's opinions when participating in the recording of doctor-patient communication witness and evidence record; the clarity of the patient's answers to questions when participating in the recording of doctor-patient communication witness and evidence record; the logical coherence of the semantics explained by the doctor when participating in the recording of doctor-patient communication witness and evidence record; whether there are legal defects in the semantics explained by the doctor when participating in the recording of doctor-patient communication witness and evidence record; whether the semantics explained by the doctor when participating in the recording of doctor-patient communication witness and evidence record are complete and sufficient from a medical perspective.

[0184] Optionally, the above-mentioned device includes an actual evaluation value determination module, which is used to: extract semantic information from the doctor-patient communication witness evidence record based on artificial intelligence AI technology, and obtain the patient's semantic information when the patient expresses his opinions, and the medical staff's semantic information when the medical staff expresses their opinions; extract semantic features from the patient's semantic information and the medical staff's semantic information respectively, and obtain the patient's semantic features and the medical staff's semantic features; perform semantic analysis on the patient's semantic features and the medical staff's semantic features respectively, and obtain the patient's semantic logic corresponding to the patient staff, and the medical staff's semantic logic corresponding to the medical staff; based on the patient's semantic logic, respectively determine the actual evaluation values corresponding to the first patient's dimension indicator and the second patient's dimension indicator, wherein the first patient's dimension indicator is when participating in the recording of the doctor-patient communication witness evidence record, The dimensional indicator corresponding to the semantic logic when the patient expresses his or her opinion, the second patient dimensional indicator is the dimensional indicator corresponding to the clarity of the patient's answer to the question when participating in the recording of the doctor-patient communication witness and evidence record; based on the doctor's semantic logic, the actual evaluation values corresponding to the first doctor's dimensional indicator, the second doctor's dimensional indicator and the third doctor's dimensional indicator are determined respectively, among which the first doctor's dimensional indicator is the dimensional indicator corresponding to the logical coherence of the semantics expounded by the doctor when participating in the recording of the doctor-patient communication witness and evidence record, the second doctor's dimensional indicator is the dimensional indicator corresponding to whether there are legal defects in the semantics expounded by the doctor when participating in the recording of the doctor-patient communication witness and evidence record, and the third dimensional indicator is the dimensional indicator corresponding to whether the semantics expounded by the doctor when participating in the recording of the doctor-patient communication witness and evidence record is complete and sufficient from a medical point of view.

[0185] Optionally, the actual evaluation value determination module is specifically used to: analyze the coherence between the various words of the semantics expounded by the medical prescription and the mutual relationship between the various words based on the medical prescription semantic logic through artificial intelligence AI technology to obtain a first analysis result, and determine a first medical prescription dimension indicator based on the first analysis result; analyze the mutual relationship between the various words of the semantics expounded by the medical prescription based on the medical prescription semantic logic through artificial intelligence AI technology, and compare the various words of the semantics expounded by the medical prescription with the legal knowledge graph to determine whether there are legal knowledge deficiencies in the various words of the semantics expounded by the medical prescription, obtain a second analysis result, and determine a second medical prescription dimension indicator based on the second analysis result; analyze the mutual relationship between the various words of the semantics expounded by the medical prescription based on the medical prescription semantic logic, and compare the various words of the semantics expounded by the medical prescription with the medical knowledge graph to analyze whether there are medical knowledge deficiencies in the various words of the semantics expounded by the medical prescription, obtain a third analysis result, and determine a third medical prescription dimension indicator based on the third analysis result; wherein, the mutual relationship between the various words of the semantics expounded by the medical prescription includes a reference relationship, a causal relationship and / or an inclusion relationship.

[0186] Optionally, the above-mentioned device also includes a second processing module, which is used to: for the second analysis result, when the second analysis result indicates that there are legal knowledge deficiencies in the semantics expounded by the medical party, generate a corresponding first modification opinion for the second analysis result through artificial intelligence AI technology, and display the first modification opinion on the medical communication witness and evidence record recording interface, wherein the first modification opinion is used to prompt the medical personnel to inform the patient personnel of legal knowledge in accordance with the first modification opinion; and / or, for the third analysis result, when the third analysis result indicates that there are medical knowledge deficiencies in the semantics expounded by the medical party, generate a corresponding second modification opinion for the third analysis result through artificial intelligence AI technology, and display the second modification opinion on the medical communication witness and evidence record recording interface, wherein the second modification opinion is used to prompt the medical personnel to inform the patient personnel of medical knowledge in accordance with the second modification opinion.

[0187] Optionally, the above-mentioned device also includes a storage module, which is used to: generate a unique hash value for the medical communication witness evidence record, obtain a traceable medical communication witness evidence record, save the traceable medical communication witness evidence record to a designated storage medium, and transmit the traceable medical communication witness evidence record in the designated storage medium to a third-party agency, so that the third-party agency saves the traceable medical communication witness evidence record to a designated terminal storage device or cloud storage device; or, transmit the medical communication witness evidence record to the third-party agency, determine whether the medical communication witness evidence record contains a hash value, and if not, generate a unique hash value for the medical communication witness evidence record, obtain the traceable medical communication witness evidence record, and save it to a terminal storage device or cloud storage device designated by the third-party agency; wherein the third-party agency is an agency independent of patient personnel and medical personnel with the ability to store evidence and prevent tampering supervision, and the third-party agency includes at least one of the following: a notary office, a law firm, a government functional agency, an Internet court evidence platform, and an electronic evidence online platform.

[0188] Optionally, the above-mentioned device also includes a third acquisition module, which is used to: in the event of a medical dispute between the patient and the medical staff, obtain the traceable doctor-patient communication witness and evidence records stored by a third-party organization, so that the patient and the medical staff can communicate based on the traceable doctor-patient communication witness and evidence records.

[0189] Optionally, the above-mentioned device also includes a detection module, which is used to: when recording the medical communication witness evidence record, detect whether the actual participants in the medical communication witness evidence recording interface are consistent with the number or identity of the pre-entered participants, wherein the number or identity of the pre-entered participants is determined by the number or identity of the patient representatives corresponding to the patient, and the number or identity of the medical representatives corresponding to the patient; if there is inconsistency, a pre-set prompt message is displayed in the medical communication witness evidence record recording interface.

[0190] Through the embodiments disclosed herein, on the one hand, AI technology is used to generate popular science documents for medical communication, and patients are informed of relevant medical treatment behaviors. This can provide patients with more objective and comprehensive popular science on medical treatment behaviors, provide timely warnings of communication deficiencies and suggestions for remediation, and improve the efficiency of medical communication. On the other hand, through the witness and evidence records of medical communication, a retrospective record can be provided for medical communication. In actual applications, when a medical conflict occurs, the complete medical communication evidence can be queried through the witness and evidence records of medical communication, which greatly protects the rights and interests of both doctors and patients.

[0191] The apparatus of the embodiments of the present disclosure can execute the methods provided by the embodiments of the present disclosure, and their implementation principles are similar and have corresponding technical effects. The actions performed by each module in the apparatus of each embodiment of the present disclosure correspond to the steps in the methods of each embodiment of the present disclosure. For detailed functional descriptions of each module of the apparatus, please refer to the descriptions of the corresponding methods shown above, and will not be repeated here.

[0192] An embodiment of the present disclosure provides an electronic device (computer device / equipment / system), including a memory, a processor, and a computer program stored in the memory, and the processor executes the above computer program to implement the steps of the method provided in any optional embodiment of the present disclosure.

[0193] In an alternative embodiment, an electronic device is provided, such as Figure 15 As shown, Figure 15 The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, for example, via a bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, which may be used for data exchange between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the number of transceivers 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present disclosure.

[0194] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the present disclosure. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, or a combination of a DSP and a microprocessor.

[0195] Bus 4002 may include a path for transmitting information between the above components. Bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. Bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 15 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0196] The memory 4003 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium that can be used to carry or store computer programs and can be read by a computer, without limitation herein.

[0197] The memory 4003 is used to store the computer program for executing the embodiments of the present disclosure, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the computer program stored in the memory 4003 to implement the steps shown in the above method embodiments.

[0198] An embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0199] The embodiments of the present disclosure further provide a computer program product, including a computer program, which can implement the steps and corresponding contents of the aforementioned method embodiments when executed by a processor.

[0200] It should be understood that, although the flowcharts of the embodiments of the present disclosure indicate the various operation steps by arrows, the order of implementation of these steps is not limited to the order indicated by the arrows. Unless otherwise clearly stated herein, in some implementation scenarios of the embodiments of the present disclosure, the implementation steps in each flowchart can be performed in other orders as required. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages based on the actual implementation scenario. Some or all of these sub-steps or stages can be executed at the same time, and each sub-step or stage in these sub-steps or stages can also be executed at different times. In scenarios where the execution times are different, the order of execution of these sub-steps or stages can be flexibly configured as required, and the embodiments of the present disclosure do not limit this.

[0201] The above are only optional implementation methods for some implementation scenarios of the present disclosure. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the solution of the present disclosure, other similar implementation methods based on the technical ideas of the present disclosure are also within the protection scope of the embodiments of the present disclosure.

Claims

1. A doctor-patient joint decision-making communication method based on artificial intelligence, characterized in that: The method comprises: Before a patient undergoes diagnosis and treatment, the doctor-patient joint decision-making support system is used to obtain the patient's basic health information and the doctor's current diagnosis and treatment conclusion; Based on artificial intelligence (AI) technology, the patient's basic health information and the doctor's current diagnosis and treatment conclusion are deeply considered to obtain corresponding doctor-patient communication popular science copy, wherein the doctor-patient communication popular science copy is used to inform the patient's personnel, including the patient and the patient's authorized health management personnel, of the medical pros and cons, risks and precautions in carrying out the diagnosis and treatment behavior; When the doctor-patient communication popular science document is verified by the medical staff, obtaining the at least one possible diagnosis and treatment plan included in the doctor-patient communication popular science document and the at least one diagnosis and treatment plan to be communicated selected by the patient staff; Through the doctor-patient joint decision-making support system, the entire process of the patient and medical personnel communicating and determining the target treatment plan based on at least one of the treatment plans to be communicated is recorded to obtain a doctor-patient communication witness evidence record, wherein the doctor-patient communication witness evidence record is used to provide the patient and medical personnel with a doctor-patient communication retrospective record, and the doctor-patient communication witness evidence record includes doctor-patient communication witness evidence audio, or doctor-patient communication witness evidence audio and video.

2. The method according to claim 1, characterized in that The doctor-patient joint decision-making support system includes a doctor-patient communication witness and evidence storage module. The doctor-patient joint decision-making support system records the entire process of the patient and the medical staff communicating and determining the target treatment plan based on at least one treatment plan to be communicated, and obtains a doctor-patient communication witness and evidence storage record, including: When the doctor-patient communication witness evidence storage module is acquired to perform a witness evidence storage operation, a doctor-patient communication witness evidence storage information entry interface is displayed; Obtaining the first basic information of the patient and the second basic information of the medical staff through the doctor-patient communication witness evidence information input interface; After the first and second basic information are entered and the patient's authorization is passed, the doctor-patient communication witness recording interface is displayed; Based on the doctor-patient communication witness evidence recording interface, the doctor-patient communication witness evidence record is recorded and obtained, wherein the doctor-patient communication witness evidence record includes at least one of the following contents: If the patient and the medical staff approve the authorization, the authorization witness record of the entire process of the patient and the medical staff conducting the authorization verification; A witness record of the whole process of informing or playing the popular science document for communication between doctors and patients is recorded, wherein the witness record of the popular science document includes the audio or audio-visual video of the whole process of communication between the patient and the medical staff based on at least one of the treatment plans to be communicated, wherein the popular science document for communication between doctors and patients is informed or played to the patient by oral narration by the medical staff, intelligent voice or artificial intelligence image voice.

3. The method according to claim 1, characterized in that The doctor-patient joint decision-making support system includes a module for playing popular science documents for doctor-patient communication, wherein the popular science documents for doctor-patient communication include the doctor's current diagnosis and treatment conclusion, at least one to-be-selected treatment plan, the medical pros and cons corresponding to each to-be-selected treatment plan, and the patient's precautions corresponding to each to-be-selected treatment plan. The method further includes: The doctor-patient communication science popularization copy is converted into a corresponding doctor-patient communication science popularization voice through the playback module of the doctor-patient communication science popularization copy, and the doctor's current diagnosis and treatment conclusion contained in the doctor-patient communication science popularization voice is played to the patient through a virtual anchor; When the medical staff has notified the completion of the current diagnosis and treatment conclusion, at least one of the to-be-selected diagnosis and treatment plans is displayed, and at least one to-be-discussed diagnosis and treatment plan selected by the patient is obtained; Each of the treatment plans to be communicated and the patient precautions corresponding to each treatment plan to be communicated are played to the patient personnel in sequence or in a designated manner.

4. The method according to claim 1, wherein The method further comprises: When the doctor-patient communication witness record is completed, a doctor-patient communication feedback interface is displayed; Acquiring a feedback result input through the doctor-patient communication feedback interface, wherein the feedback result corresponds to at least one question to be fed back by the patient in the doctor-patient communication feedback interface; Based on at least one preset dimensional indicator, the doctor-patient communication efficiency is evaluated to obtain the doctor-patient communication efficiency, wherein the feedback result belongs to one of the preset dimensional indicators; The doctor-patient communication efficiency is determined by the following formula: Wherein, G is the doctor-patient communication efficiency, which is used to indicate the communication efficiency between the patient and the doctor; N is the total number of dimension indicators, N is a positive integer; j is the j-th dimension index, 1≤j≤N; is the weight coefficient of the j-th dimension indicator, where the weight coefficient of each dimension indicator is pre-set according to the importance of the dimension indicator; is the actual evaluation value of the j-th dimension indicator; is the preset maximum value of the j-th dimension indicator; It is a percentage, used to convert G into a percentage.

5. The method according to claim 4, characterized in that The dimension indicator includes at least one of the following: The duration of doctor-patient interaction when participating in the recording of doctor-patient communication witness and evidence records; The length of time the patient expresses his or her opinions when participating in the recording of witness and evidence records of doctor-patient communication; The semantic logic of the patient's opinions when participating in the recording of witness and evidence records of doctor-patient communication; The clarity of the patient's responses to questions when participating in the recording of witness records of doctor-patient communication; The logical coherence of the semantics expressed by the doctor when participating in the recording of witness and evidence records of doctor-patient communication; When participating in the recording of witness records of doctor-patient communication, whether the doctor's explanation of the meaning is legally flawed; When participating in the recording of witness and evidence records of doctor-patient communication, whether the meaning explained by the doctor is complete and sufficient from a medical perspective.

6. The method according to claim 5, characterized in that The method further comprises: Based on artificial intelligence (AI) technology, semantic information is extracted from the doctor-patient communication witness records to obtain the patient's semantic information when the patient expresses his or her opinion, and the doctor's semantic information when the doctor expresses his or her opinion; Performing semantic feature extraction on the patient's semantic information and the doctor's semantic information respectively to obtain patient's semantic features and doctor's semantic features; Performing semantic analysis on the patient semantic features and the doctor semantic features respectively to obtain the patient semantic logic corresponding to the patient personnel and the doctor semantic logic corresponding to the doctor personnel; Based on the patient-side semantic logic, actual evaluation values corresponding to the first patient-side dimension indicator and the second patient-side dimension indicator are respectively determined, wherein the first patient-side dimension indicator is a dimension indicator corresponding to the semantic logic when the patient expresses his or her opinions when participating in the recording of the doctor-patient communication witness and evidence record; and the second patient-side dimension indicator is a dimension indicator corresponding to the clarity of the patient's answer to the question when participating in the recording of the doctor-patient communication witness and evidence record; Based on the medical semantic logic, the actual evaluation values corresponding to the first medical dimension indicator, the second medical dimension indicator and the third medical dimension indicator are respectively determined, wherein the first medical dimension indicator is the dimension indicator corresponding to the logical coherence of the semantics expounded by the medical party when participating in the recording of the medical communication witness and evidence record, the second medical dimension indicator is the dimension indicator corresponding to whether there are legal defects in the semantics expounded by the medical party when participating in the recording of the medical communication witness and evidence record, and the third dimension indicator is the dimension indicator corresponding to whether the semantics expounded by the medical party when participating in the recording of the medical communication witness and evidence record is complete and sufficient from a medical point of view.

7. The method according to claim 6, characterized in that The determining, based on the medical prescription semantic logic, actual evaluation values corresponding to the first medical prescription dimension indicator, the second medical prescription dimension indicator, and the third medical prescription dimension indicator respectively includes: Using artificial intelligence (AI) technology, based on the semantic logic of the medical prescription, the coherence between the various words in the semantics explained in the medical prescription and the mutual relationship between the various words are analyzed to obtain a first analysis result, and the first medical prescription dimension indicator is determined based on the first analysis result; Using artificial intelligence (AI) technology, based on the semantic logic of the medical prescription, the interrelationships between the various terms in the semantics expounded by the medical prescription are analyzed, and the various terms in the semantics expounded by the medical prescription are compared with the legal knowledge graph to determine whether there are legal knowledge deficiencies in the various terms in the semantics expounded by the medical prescription, thereby obtaining a second analysis result, and determining the second medical prescription dimension indicator based on the second analysis result; By using artificial intelligence (AI) technology, based on the semantic logic of the medical prescription, the mutual relationship between each word of the semantics explained by the medical prescription is analyzed, and each word of the semantics explained by the medical prescription is compared with the medical knowledge graph to analyze whether there are medical knowledge gaps in each word of the semantics explained by the medical prescription, thereby obtaining a third analysis result, and determining the third medical prescription dimension index based on the third analysis result; The mutual relationships between the various words expressing the semantics described by the medical prescription include reference relationships, causal relationships, and / or inclusion relationships.

8. The method according to claim 7, characterized in that The method further comprises: For the second analysis result, if the second analysis result indicates that there are legal knowledge deficiencies in the semantics elaborated by the medical party, a corresponding first modification opinion is generated for the second analysis result through artificial intelligence (AI) technology, and the first modification opinion is displayed on the medical communication witness and evidence recording interface, wherein the first modification opinion is used to prompt the medical staff to inform the patient staff of legal knowledge in accordance with the first modification opinion; And / or, for the third analysis result, when the third analysis result indicates that there are medical knowledge deficiencies in the semantics elaborated by the medical party, a corresponding second modification opinion is generated for the third analysis result through artificial intelligence AI technology, and the second modification opinion is displayed on the doctor-patient communication witness record recording interface, wherein the second modification opinion is used to prompt the medical personnel to inform the patient personnel of medical knowledge in accordance with the second modification opinion.

9. The method according to claim 1, characterized in that The method further comprises: Generate a unique hash value for the doctor-patient communication witness evidence record to obtain a traceable doctor-patient communication witness evidence record, save the traceable doctor-patient communication witness evidence record to a designated storage medium, and transmit the traceable doctor-patient communication witness evidence record in the designated storage medium to a third-party organization, so that the third-party organization saves the traceable doctor-patient communication witness evidence record to a designated terminal storage device or cloud storage device; Alternatively, the doctor-patient communication witness evidence record is transmitted to a third-party institution to determine whether the doctor-patient communication witness evidence record contains a hash value. If not, a unique hash value is generated for the doctor-patient communication witness evidence record to obtain a traceable doctor-patient communication witness evidence record, and the record is saved to a terminal storage device or cloud storage device designated by the third-party institution; Among them, the third-party agency is an agency independent of the patient personnel and the medical personnel and has the ability to store evidence and prevent tampering supervision. The third-party agency includes at least one of the following: notary office, law firm, government functional agency, Internet court evidence platform, and electronic evidence online platform.

10. The method according to claim 1, characterized in that The method further comprises: In the case of recording a doctor-patient communication witness evidence record, detecting whether the actual participants in the doctor-patient communication witness evidence recording interface are consistent with the number or identities of the pre-entered participants, wherein the pre-entered number or identities of the participants are determined by the number or identities of the patient's representatives corresponding to the patient and the number or identities of the medical representatives corresponding to the patient; If there is any inconsistency, a pre-set prompt message will be displayed in the doctor-patient communication witness evidence record recording interface.

11. An artificial intelligence-based doctor-patient joint decision-making communication device, characterized in that: The device comprises: The first acquisition module is used to obtain the patient's basic health information and the doctor's current diagnosis and treatment conclusion through the doctor-patient joint decision-making support system before the patient undergoes diagnosis and treatment; A first processing module is configured to, based on artificial intelligence (AI) technology, deeply analyze the patient's basic health information and the doctor's current diagnosis and treatment conclusions to generate corresponding doctor-patient communication popular science copy, wherein the doctor-patient communication popular science copy is used to inform the patient's personnel, including the patient and the patient's authorized health management personnel, of the medical pros and cons, risks, and precautions involved in the diagnosis and treatment; The second acquisition module is configured to obtain, when the doctor-patient communication popular science document is verified by the medical staff, at least one possible diagnosis and treatment plan contained in the doctor-patient communication popular science document and at least one diagnosis and treatment plan to be communicated selected by the patient staff based on the possible diagnosis and treatment plan; The witness evidence module records the entire process of the patient and medical staff communicating and determining the target treatment plan based on at least one of the treatment plans to be communicated through the medical-patient joint decision-making support system, and obtains a medical-patient communication witness evidence record, wherein the medical-patient communication witness evidence record is used to provide the patient and medical staff with a medical-patient communication retrospective record, and the medical-patient communication witness evidence record includes medical-patient communication witness evidence audio, or medical-patient communication witness evidence audio and video.

12. An electronic device (computer device / equipment / system), comprising a memory, a processor, and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method according to any one of claims 1 to 10; Alternatively, a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method according to any one of claims 1 to 10; Alternatively, a computer program product comprises a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 10 is implemented.

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