Preoperative witness service equipment and method

Abstract

The invention relates to the technical field of medical treatment, in particular to preoperative witness service equipment and a preoperative witness service method, which realize standardized management of the whole process of preoperative conversation, ensure that preoperative risk notification of each operation is strictly executed according to a standard process, reduce medical dispute risks caused by inadequate notification and improve the safety of medical treatment. The medical quality and management level of hospitals are improved, the intelligent system is easy and convenient to operate, the time and energy of preoperative communication can be saved, meanwhile, accurate risk informing prompts are provided, medical staff are assisted in better performing informing obligations, the working efficiency and the medical service quality are improved, the preoperative conversation content is clearly and completely recorded and presented, and the medical quality of the hospitals is improved. Therefore, the system can comprehensively and detailedly know operation risks and related matters, enhances the trust to hospitals and medical staff, and reduces misunderstanding and disputes caused by information asymmetry. Therefore, the problem that an existing preoperative conversation recording mode is not standard and is easy to tamper is solved.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a pre-operative witness service device and method. Background Art

[0002] In the medical field, preoperative interviews are a critical part of the medical process. Traditional preoperative interviews rely primarily on manual recording and communication, which presents numerous challenges. Firstly, medical staff are overwhelmed with tasks and time constraints make it difficult to fully and accurately disclose every risk. This can easily lead to omissions or unclear statements, resulting in an incomplete understanding of preoperative risks for patients and their families. Secondly, manually recorded interviews can be irregular, incomplete, and susceptible to tampering, making them ineffective as strong and reliable legal evidence in potential medical disputes.

[0003] With the continuous advancement of medical technology and the improvement of patients' legal awareness, the requirements for standardized preoperative interviews and reliable evidence preservation are increasing. Existing technical means, such as simple audio and video recording equipment, can record the conversation process, but lack intelligent management and analysis capabilities, making it difficult to achieve standardized control of the conversation process and unable to automatically mark and extract key risk information. This cannot meet the urgent needs of medical institutions for intelligent management of the entire preoperative interview process and high-standard preservation of legal evidence. Summary of the Invention

[0004] The purpose of the present invention is to provide a preoperative witness service device and method, aiming to solve the problem that the existing preoperative conversation recording method is not standardized and easy to tamper with.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a preoperative witness service device, comprising a data acquisition module, an identity recognition module, a storage management module, an intelligent interaction module, an evidence preservation module, a risk assessment and prompting module, and a process monitoring and auditing module, wherein the data acquisition module, the identity recognition module, the storage management module, the intelligent interaction module, and the evidence preservation module are sequentially connected and respectively connected to the process monitoring and auditing module, and the risk assessment and prompting module is connected to the intelligent interaction module;

[0006] The data acquisition module is used to collect audio and video data during the preoperative conversation and electronic medical record data operated by medical staff;

[0007] The identity recognition module is used to identify the identity information of medical staff, patients and their families;

[0008] The storage management module is used to store the collected audio and video data and electronic medical record data and corresponding identity information;

[0009] The intelligent interaction module is used for medical staff to interact with the system, input surgery-related information, and view stored conversation data;

[0010] The evidence preservation module is used to encrypt the stored data and generate electronic evidence;

[0011] The risk assessment prompt module automatically analyzes and prompts medical staff to inform them of the corresponding surgical risks based on the preset preoperative risk notification template and surgery-related information;

[0012] The process monitoring and auditing module monitors and audits the entire preoperative witness service process in real time, and records the operation time, operator, and operation content information of each link.

[0013] The data acquisition module includes a camera unit, a microphone unit, a medical record data interface unit and a data preprocessing unit, and the camera unit, the microphone unit and the medical record data interface unit are respectively connected to the data preprocessing unit;

[0014] The camera unit is used to obtain images of people during the preoperative conversation;

[0015] The microphone unit is used to collect voice information during the conversation;

[0016] The medical record data interface unit is used to access the electronic medical record data operated by medical staff;

[0017] The data pre-processing unit is used to perform preliminary processing on the collected image, voice and medical record data.

[0018] The identity recognition module includes a medical staff recognition unit, a patient family recognition unit and a recognition algorithm unit, and the medical staff recognition unit and the patient family recognition unit are respectively connected to the recognition algorithm unit;

[0019] The medical staff identification unit is used to identify the identity of the medical staff;

[0020] The patient and family identification unit is used to identify the identity of the patient and his family;

[0021] The identification algorithm unit is used to analyze and confirm the collected identity information.

[0022] Wherein, the storage management module includes a storage medium unit, a data backup unit and an index management unit, and the storage medium unit is connected to the data backup unit and the index management unit;

[0023] The storage medium unit is used to provide a large-capacity storage space to store various types of data;

[0024] The data backup unit is used to back up the stored data;

[0025] The index management unit establishes a data index to facilitate users to quickly search and retrieve required data.

[0026] Wherein, the intelligent interaction module includes a user interface unit, a speech recognition unit and a language processing unit, and the user interface unit, the speech recognition unit and the language processing unit are connected in sequence;

[0027] The user interface unit provides a simple and intuitive operating interface for medical staff;

[0028] The speech recognition unit converts the medical staff's voice instructions into text signals;

[0029] The language processing unit is used to analyze and understand text signals.

[0030] The evidence preservation module includes an encryption processing unit, a cloud backup unit, and a docking interface unit, wherein the encryption processing unit is connected to the cloud backup unit and the docking interface unit;

[0031] The encryption processing unit is used to encrypt the stored data;

[0032] The cloud backup unit is used to upload the encrypted electronic evidence to the cloud for backup storage;

[0033] The docking interface unit is used to dock with the evidence management system.

[0034] In a second aspect, a preoperative witness service method is provided, which is used in the preoperative witness service device described in the first aspect, and includes the following steps:

[0035] Collect audio, video, and electronic medical record data of preoperative conversations and perform preprocessing;

[0036] Identification information of medical staff, patients and their families;

[0037] Store, back up and index the collected data;

[0038] Analyze surgical information to remind medical staff of surgical risks in real time;

[0039] Encrypt data to generate electronic evidence, and perform cloud backup and system integration;

[0040] Monitor preoperative processes in real time, record operation information, and generate process audit reports.

[0041] A preoperative witness service device of the present invention includes a data acquisition module, an identity recognition module, a storage management module, an intelligent interaction module, an evidence preservation module, a risk assessment prompt module and a process monitoring and auditing module. The data acquisition module, the identity recognition module, the storage management module, the intelligent interaction module and the evidence preservation module are connected in sequence and are respectively connected to the process monitoring and auditing module, and the risk assessment prompt module is connected to the intelligent interaction module; the data acquisition module is used to collect audio and video data during the preoperative conversation and electronic medical record data operated by medical staff; the identity recognition module is used to identify the identity information of medical staff, patients and their families information; the storage management module is used to store the collected audio, video data and electronic medical record data and the corresponding identity information; the intelligent interaction module is used for medical staff to interact with the system, input operation-related information, and view the stored conversation data; the evidence preservation module is used to encrypt the stored data and generate electronic evidence; the risk assessment prompt module automatically analyzes and prompts medical staff to inform the corresponding operation risk content based on the preset preoperative risk notification template and operation-related information; the process monitoring and auditing module monitors and audits the entire preoperative witness service process in real time, and records the operation time, operator, and operation content information of each link. The present invention realizes the standardized management of the entire process of preoperative conversation, ensuring that the preoperative risk notification of each operation is strictly carried out in accordance with the standard process, reducing the risk of medical disputes caused by insufficient notification, and improving the medical quality and management level of the hospital. For medical staff, the intelligent system is easy to operate, which can save time and energy in preoperative communication, and at the same time provide accurate risk notification prompts to assist medical staff to better fulfill their notification obligations, improve work efficiency and medical service quality; for patients and their families, by clearly and completely recording and presenting the content of preoperative conversations, they can fully and in detail understand the surgical risks and related matters, enhance their trust in the hospital and medical staff, and reduce misunderstandings and disputes caused by information asymmetry. The generated encrypted electronic evidence has a high degree of credibility and legal effect, and can provide strong and objective evidence support for possible medical disputes, protect the legitimate rights and interests of both doctors and patients, and promote the fair and reasonable resolution of medical disputes. This solves the problem that the existing preoperative conversation recording method is non-standard and easy to tamper with. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 This is a schematic diagram of a preoperative witness service device provided by the present invention.

[0044] Figure 2 It is a schematic diagram of the data acquisition module.

[0045] Figure 3 This is a schematic diagram of the identity recognition module.

[0046] Figure 4 is a schematic diagram of the storage management module.

[0047] Figure 5 It is a schematic diagram of the intelligent interaction module.

[0048] Figure 6 This is a schematic diagram of the evidence preservation module.

[0049] Figure 7 It is a schematic diagram of the risk assessment prompt module.

[0050] Figure 8 This is a schematic diagram of the process monitoring and auditing module.

[0051] Figure 9 This is a flow chart of a preoperative witness service method provided by the present invention.

[0052] In the figure: 1-data acquisition module, 2-identity recognition module, 3-storage management module, 4-intelligent interaction module, 5-evidence preservation module, 6-risk assessment prompt module, 7-process monitoring and audit module, 11-camera unit, 12-microphone unit, 13-medical record data interface unit, 14-data preprocessing unit, 21-medical staff identification unit, 22-patient family identification unit, 23-identification algorithm unit, 31-storage medium unit, 32-data backup unit, 33-index management unit, 41-user interface unit, 42-speech recognition unit, 43-language processing unit, 51-encryption processing unit, 52-cloud backup unit, 53-docking interface unit, 61-risk template library unit, 62-data analysis unit, 63-risk prompt unit, 71-real-time monitoring unit, 72-audit rule library unit, 73-report generation unit. DETAILED DESCRIPTION

[0053] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0054] See also Figures 1 to 8In a first aspect, the present invention provides a preoperative witness service device, comprising a data acquisition module 1, an identity recognition module 2, a storage management module 3, an intelligent interaction module 4, an evidence preservation module 5, a risk assessment prompt module 6, and a process monitoring and auditing module 7. The data acquisition module 1, the identity recognition module 2, the storage management module 3, the intelligent interaction module 4, and the evidence preservation module 5 are sequentially connected and respectively connected to the process monitoring and auditing module 7, and the risk assessment prompt module is connected to the intelligent interaction module 4;

[0055] The data collection module 1 is used to collect audio and video data during the preoperative conversation and electronic medical record data operated by medical staff;

[0056] The identification module 2 is used to identify the identity information of medical staff, patients and their families;

[0057] The storage management module 3 is used to store the collected audio, video data and electronic medical record data and corresponding identity information;

[0058] The intelligent interaction module 4 is used for medical staff to interact with the system, input surgery-related information, and view stored conversation data;

[0059] The evidence preservation module 5 is used to encrypt the stored data and generate electronic evidence;

[0060] The risk assessment prompt module 6 automatically analyzes and prompts medical staff to inform them of the corresponding surgical risks based on the preset preoperative risk notification template and surgery-related information;

[0061] The process monitoring and auditing module 7 monitors and audits the entire preoperative witness service process in real time, and records the operation time, operator, and operation content information of each link.

[0062] In this embodiment, the data acquisition module 1 is used to collect audio and video data during the preoperative conversation and the electronic medical record data operated by medical staff; the identity recognition module 2 is used to identify the identity information of medical staff, patients and their families; the storage management module 3 is used to store the collected audio, video data and electronic medical record data and corresponding identity information; the intelligent interaction module 4 is used for medical staff to interact with the system, input operation-related information, and view the stored conversation data; the evidence preservation module 5 is used to encrypt the stored data and generate electronic evidence; the risk assessment prompt module 6 automatically analyzes and prompts medical staff to inform the corresponding operation risk content based on the preset preoperative risk notification template and operation-related information; the process monitoring and audit module 7 monitors and audits the entire preoperative witness service process in real time, and records the operation time, operator, and operation content information of each link. The present invention realizes the standardized management of the entire process of preoperative conversation, ensuring that the preoperative risk notification of each operation is strictly carried out in accordance with the standard process, reducing the risk of medical disputes caused by insufficient notification, and improving the medical quality and management level of the hospital. For medical staff, the intelligent system is easy to operate, which can save time and energy in preoperative communication, and at the same time provide accurate risk notification prompts to assist medical staff to better fulfill their notification obligations, improve work efficiency and medical service quality; for patients and their families, by clearly and completely recording and presenting the content of preoperative conversations, they can fully and in detail understand the surgical risks and related matters, enhance their trust in the hospital and medical staff, and reduce misunderstandings and disputes caused by information asymmetry. The generated encrypted electronic evidence has a high degree of credibility and legal effect, and can provide strong and objective evidence support for possible medical disputes, protect the legitimate rights and interests of both doctors and patients, and promote the fair and reasonable resolution of medical disputes. This solves the problem that the existing preoperative conversation recording method is non-standard and easy to tamper with.

[0063] Furthermore, the data acquisition module 1 includes a camera unit 11, a microphone unit 12, a medical record data interface unit 13 and a data pre-processing unit 14, and the camera unit 11, the microphone unit 12 and the medical record data interface unit 13 are respectively connected to the data pre-processing unit 14;

[0064] The camera unit 11 is used to obtain images of people during the preoperative conversation;

[0065] The microphone unit 12 is used to collect voice information during the conversation;

[0066] The medical record data interface unit 13 is used to access the electronic medical record data operated by medical staff;

[0067] The data pre-processing unit 14 is used to perform preliminary processing on the collected image, voice and medical record data.

[0068] In this embodiment, the camera unit 11 captures real-time images of medical staff, patients, and their families during the preoperative interview. This image information is used to assist in recording the conversation and facilitate subsequent identification operations. The microphone unit 12 simultaneously captures voice information during the preoperative interview, including information provided by medical staff to the patient and their family, as well as questions and responses from the patient and their family, to ensure that the conversation is fully recorded. The medical record data interface unit 13 is connected to the hospital's electronic medical record system and accesses electronic medical record data generated by medical staff during the preoperative interview, including basic patient information, diagnosis, surgical plan, and other content. After receiving data transmitted from the camera unit 11, microphone unit 12, and medical record data interface unit 13, the data preprocessing unit 14 performs preliminary processing on the image, voice, and medical record data (performing operations such as image format conversion and resolution adjustment; performing noise reduction and voice enhancement on voice data; and formatting and organizing medical record data). The preprocessed data is then transmitted to the storage management module 3 for subsequent storage and other operations.

[0069] Furthermore, the identity recognition module 2 includes a medical staff recognition unit 21, a patient family recognition unit 22 and a recognition algorithm unit 23, and the medical staff recognition unit 21 and the patient family recognition unit 22 are respectively connected to the recognition algorithm unit 23;

[0070] The medical staff identification unit 21 is used to identify the identity of the medical staff;

[0071] The patient and family identification unit 22 is used to identify the identity of the patient and his family;

[0072] The identification algorithm unit 23 is used to analyze and confirm the collected identity information.

[0073] In this embodiment, at the beginning or during the preoperative conversation, the medical staff identification unit 21 collects the medical staff's identity information, such as work ID number, fingerprint, facial image, etc., and then transmits it to the recognition algorithm unit 23 for identity verification and confirmation. The patient family identification unit 22 collects the identity information of the patient and his family (ID card information, facial image, etc.) and transmits this information to the recognition algorithm unit 23. The recognition algorithm unit 23 uses a preset biometric recognition algorithm or identity verification technology (face recognition algorithm, fingerprint recognition algorithm), etc. to analyze and compare the identity information of the medical staff and the patient and his family. After confirming the accuracy of the identity information, the recognition result is transmitted to the storage management module 3 for storage and fed back to other related modules.

[0074] Furthermore, the storage management module 3 includes a storage medium unit 31, a data backup unit 32 and an index management unit 33, and the storage medium unit 31 is connected to the data backup unit 32 and the index management unit 33;

[0075] The storage medium unit 31 is used to provide a large-capacity storage space to store various types of data;

[0076] The data backup unit 32 is used to back up the stored data;

[0077] The index management unit 33 establishes a data index to facilitate users to quickly search and retrieve required data.

[0078] In this embodiment, the storage medium unit 31 receives various types of data such as audio, video data, electronic medical record data pre-processed by the data acquisition module 1, and identity information transmitted by the identity recognition module 2. The data backup unit 32 reads data from the storage medium unit 31 regularly according to the preset backup strategy, and copies it to the backup storage medium or cloud storage space to prevent data loss due to storage medium failure, data corruption or human error, and ensure the persistence of data. The index management unit 33 indexes the data stored in the storage medium unit 31 and generates index information according to dimensions such as time sequence, patient name, and surgery type. When a user needs to query or retrieve specific data, the index management unit 33 quickly locates the corresponding data location based on the user's needs and the query conditions entered, and feeds back the query results to the user or other modules of the system to improve the efficiency of data retrieval.

[0079] Furthermore, the intelligent interaction module 4 includes a user interface unit 41, a speech recognition unit 42 and a language processing unit 43, and the user interface unit 41, the speech recognition unit 42 and the language processing unit 43 are connected in sequence;

[0080] The user interface unit 41 provides a simple and intuitive operation interface for medical staff;

[0081] The speech recognition unit 42 converts the medical staff's voice instructions into text signals;

[0082] The language processing unit 43 is used to analyze and understand the text signal.

[0083] In this embodiment, the user interface unit 41 provides an intuitive and user-friendly interface for medical personnel when they need to interact with the system. Medical personnel can use this interface to input surgery-related information (such as surgery name, surgery time, and surgeon); they can also access stored preoperative conversation data (such as conversation records and historical conversation data for a specific patient). When medical personnel issue commands or input information via voice, the speech recognition unit 42 converts the collected speech signals into text signals. This converts the speech signals into corresponding text instructions. Upon receiving the text signals transmitted by the speech recognition unit 42, the language processing unit 43 uses natural language processing technology to analyze and understand the text signals, deriving the medical personnel's true intentions and specific operational requirements. Then, based on pre-set business logic and rules, it generates corresponding system response instructions and sends them to other relevant modules for execution, such as storing the surgical information entered by the medical personnel in the storage management module 3. Simultaneously, system feedback information is displayed to the medical personnel via the user interface unit 41.

[0084] Furthermore, the evidence preservation module 5 includes an encryption processing unit 51, a cloud backup unit 52 and a docking interface unit 53, and the encryption processing unit 51 is connected to the cloud backup unit 52 and the docking interface unit 53;

[0085] The encryption processing unit 51 is used to encrypt the stored data;

[0086] The cloud backup unit 52 is used to upload the encrypted electronic evidence to the cloud for backup storage;

[0087] The docking interface unit 53 is used to dock with the evidence management system.

[0088] In this embodiment, after the encryption processing unit 51 obtains various types of data such as audio, video data, electronic medical record data, identity information, etc. of the preoperative conversation from the storage management module 3, it uses an encryption algorithm (such as AES (Advanced Encryption Standard), RSA (Rivest-Shamir-Adleman) encryption algorithm) to encrypt the data and convert the plaintext data into ciphertext data to ensure the security and non-tamperability of the data during transmission and storage. The cloud backup unit 52 uploads the encrypted electronic evidence to the cloud backup storage space through a secure network channel. The cloud backup unit 52 synchronizes the data to the cloud regularly or in real time according to the preset backup strategy to ensure that the data can be restored from the cloud when the local data is lost or damaged, thereby increasing the security and reliability of the data. The docking interface unit 53 docks with the legal evidence management system of the medical institution to establish an interface for data transmission and sharing. The encrypted electronic evidence is transmitted to the legal evidence management system through the docking interface unit 53 so that in cases such as medical disputes, these electronic evidence can be quickly and effectively obtained and used to ensure their legal effectiveness and availability.

[0089] Furthermore, the risk assessment prompt module 6 includes a risk template library unit 61, a data analysis unit 62 and a risk prompt unit 63, and the risk template library unit 61, the data analysis unit 62 and the risk prompt unit 63 are connected in sequence;

[0090] The risk template library unit 61 is used to store preoperative risk notification templates for various types of surgery;

[0091] The data analysis unit 62 is used to analyze the collected surgery-related information;

[0092] The risk warning unit 63 reminds medical staff of corresponding surgical risk content in real time according to the analysis results.

[0093] In this embodiment, the risk template library unit 61 pre-stores preoperative risk notification templates for various types of surgeries, and the templates contain detailed information such as common risks, complications, precautions, etc. that may be involved in the type of surgery. The data analysis unit 62 obtains surgery-related information (surgery type, patient condition, etc.) during the preoperative conversation from the data acquisition module 1; at the same time, it obtains the patient's electronic medical record data, etc. from the storage management module 3. The data analysis unit 62 uses big data analysis and machine learning algorithms to analyze these data, identify specific risk factors related to the current surgery, and compare and match them with the corresponding templates in the risk template library unit 61 to assess the actual risks that the patient may face during the operation. The risk warning unit 63 generates risk warning information based on the evaluation results of the data analysis unit 62, and reminds medical staff in real time to inform patients and their families of the corresponding surgical risk content during the preoperative conversation.

[0094] Furthermore, the process monitoring and auditing module 7 includes a real-time monitoring unit 71, an audit rule base unit 72, and a report generating unit 73, wherein the real-time monitoring unit 71, the audit rule base unit 72, and the report generating unit 73 are connected in sequence;

[0095] The real-time monitoring unit 71 is used to monitor each link of the pre-operative witness service process in real time;

[0096] The audit rule library unit 72 is used to store the indicator system and audit rules for process monitoring;

[0097] The report generating unit 73 generates a detailed process audit report based on the monitoring records and audit rules.

[0098] In this embodiment, the real-time monitoring unit 71 monitors each step of the preoperative witness service process in real time, including whether the data collection process is normal, whether identity recognition is accurate, whether medical staff are following the procedures, and whether risk notification is timely. By setting monitoring points at key nodes and operation steps in the system, monitoring data such as operation time, operator, and operation content are collected in real time and transmitted to the report generation unit 73. The audit rule library unit 72 pre-stores the audit rules and indicator system for the preoperative witness service process. Upon receiving the monitoring data transmitted by the real-time monitoring unit 71, the report generation unit 73 analyzes and processes the data according to the rules and indicators in the audit rule library unit 72. If any non-compliance with the audit rules is found in the process (such as medical staff failing to promptly notify risks, incomplete data collection, etc.), the report generation unit 73 will record these issues and generate a detailed process audit report, including the time, stage, and responsible personnel of the problem. The report will also include information such as the overall status of process execution and compliance assessment, providing data support for medical institution management and quality control, helping them identify weak links in the process and implement timely improvements and optimization.

[0099] See also Figure 9 In a second aspect, a preoperative witness service method is provided, which is used in the preoperative witness service device described in the first aspect, and comprises the following steps:

[0100] S1 collected audio, video, and electronic medical record data of preoperative conversations and performed preprocessing;

[0101] Specifically, when the preoperative conversation begins, the data acquisition module 1 is started, and the camera unit 11, microphone unit 12 and medical record data interface unit 13 start working respectively; the camera unit 11 is aimed at all participants in the preoperative conversation, and takes images of the people to assist in recording the conversation scene and identity recognition; the microphone unit 12 collects voice information in the conversation to ensure that the content informed by the medical staff and the patient's response are fully recorded; the medical record data interface unit 13 is connected to the hospital's electronic medical record system to obtain patient medical record information viewed or recorded by medical staff, such as diagnosis results, treatment plans, etc.; the collected images, voice and medical record data are transmitted to the data preprocessing unit 14 in real time; the data preprocessing unit 14 converts the format and adjusts the resolution of the image data to ensure image quality and storage efficiency; reduces noise and enhances the voice data to improve voice clarity; standardizes and organizes the format of the medical record data to make it structured and standardized for subsequent storage and analysis; and transmits the preprocessed data to the storage management module 3 for storage.

[0102] S2 identifies the identity information of medical staff, patients and their families;

[0103] Specifically, during the preoperative conversation, the medical staff identification unit 21 collects the medical staff's work ID number, fingerprint or facial image; the patient family identification unit 22 collects the patient and his family's ID card information, facial image, etc., and transmits the collected identity information to the recognition algorithm unit 23 respectively; the recognition algorithm unit 23 uses the face recognition algorithm to compare the facial image with the personnel information in the hospital database, or verifies the ID card information by connecting with the identity authentication system, etc., to confirm the identity of the medical staff, patient and his family; the confirmed identity information is transmitted to the storage management module 3 for storage, and fed back to other modules for subsequent process management and data association.

[0104] S3 stores, backs up, and indexes the collected data;

[0105] Specifically, the storage medium unit 31 receives pre-processed audio, video data, electronic medical record data and identity information; the data backup unit 32 copies the stored data to the backup storage medium or cloud storage space according to the preset backup strategy, such as daily scheduled backup or real-time backup of key data, to ensure data security; the index management unit 33 establishes an index for the stored data, such as generating index information according to dimensions such as patient name, operation date, medical staff, etc., to facilitate subsequent quick query and retrieval of data.

[0106] S4 analyzes surgical information and reminds medical staff in real time about surgical risks;

[0107] Specifically, the risk assessment prompt module 6 obtains surgery-related information such as surgery type and patient condition from the data acquisition module 1, and obtains patient medical record data from the storage management module 3; the data analysis unit 62 uses big data analysis and machine learning algorithms to compare the preoperative risk notification template in the risk template library unit 61, and identifies possible surgical risks in combination with the patient's specific condition; the risk prompt unit 63 reminds medical staff to inform patients and their families of the corresponding risks in the form of pop-up windows or voice prompts.

[0108] S5 encrypts data to generate electronic evidence, and performs cloud backup and system integration;

[0109] Specifically, the encryption processing unit 51 obtains data from the storage management module 3 and encrypts it using encryption algorithms such as AES and RSA to ensure data security; the cloud backup unit 52 uploads the encrypted electronic evidence to a cloud backup storage space, such as a professional cloud storage platform, and synchronizes data according to the backup strategy to prevent local loss; the docking interface unit 53 docks with the medical institution's legal evidence management system to transmit electronic evidence and ensure its legal effectiveness for use in medical disputes.

[0110] S6 monitors the preoperative process in real time, records operation information, and generates process audit reports.

[0111] Specifically, the real-time monitoring unit 71 witnesses the entire preoperative service process, monitors data collection, identity identification, risk notification and other links, and records the operation time, personnel and content; the report generation unit 73 analyzes the monitoring data according to the rules of the audit rule library unit 72, finds problems such as failure to notify risks in a timely manner, and records the details; after the process is completed, the report generation unit 73 summarizes the problems and generates an audit report, which includes process execution, compliance assessment and other contents to provide support for medical institutions to optimize processes.

[0112] The above disclosure is merely a preferred embodiment of the preoperative witness service device and method of the present invention. It is certainly not intended to limit the scope of the present invention. A person skilled in the art will understand that all or part of the processes of the above embodiment and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. A pre-operative witness service device, characterized in that: It includes a data acquisition module, an identity recognition module, a storage management module, an intelligent interaction module, an evidence preservation module, a risk assessment prompt module and a process monitoring and auditing module. The data acquisition module, the identity recognition module, the storage management module, the intelligent interaction module and the evidence preservation module are connected in sequence and are respectively connected to the process monitoring and auditing module. The risk assessment prompt module is connected to the intelligent interaction module; The data acquisition module is used to collect audio and video data during the preoperative conversation and electronic medical record data operated by medical staff; The identity recognition module is used to identify the identity information of medical staff, patients and their families; The storage management module is used to store the collected audio and video data and electronic medical record data and corresponding identity information; The intelligent interaction module is used for medical staff to interact with the system, input surgery-related information, and view stored conversation data; The evidence preservation module is used to encrypt the stored data and generate electronic evidence; The risk assessment prompt module automatically analyzes and prompts medical staff to inform them of the corresponding surgical risks based on the preset preoperative risk notification template and surgery-related information; The process monitoring and auditing module monitors and audits the entire preoperative witness service process in real time, and records the operation time, operator, and operation content information of each link.

2. The preoperative witness service device according to claim 1, characterized in that: The data acquisition module includes a camera unit, a microphone unit, a medical record data interface unit and a data preprocessing unit, and the camera unit, the microphone unit and the medical record data interface unit are respectively connected to the data preprocessing unit; The camera unit is used to obtain images of people during the preoperative conversation; The microphone unit is used to collect voice information during the conversation; The medical record data interface unit is used to access the electronic medical record data operated by medical staff; The data pre-processing unit is used to perform preliminary processing on the collected image, voice and medical record data.

3. The preoperative witness service device according to claim 1, characterized in that: The identity recognition module includes a medical staff recognition unit, a patient family recognition unit and a recognition algorithm unit, and the medical staff recognition unit and the patient family recognition unit are respectively connected to the recognition algorithm unit; The medical staff identification unit is used to identify the identity of the medical staff; The patient and family identification unit is used to identify the identity of the patient and his family; The identification algorithm unit is used to analyze and confirm the collected identity information.

4. The preoperative witness service device according to claim 1, characterized in that: The storage management module includes a storage medium unit, a data backup unit and an index management unit, wherein the storage medium unit is connected to the data backup unit and the index management unit; The storage medium unit is used to provide a large-capacity storage space to store various types of data; The data backup unit is used to back up the stored data; The index management unit establishes a data index to facilitate users to quickly search and retrieve required data.

5. The preoperative witness service device according to claim 1, characterized in that: The intelligent interaction module includes a user interface unit, a speech recognition unit and a language processing unit, wherein the user interface unit, the speech recognition unit and the language processing unit are connected in sequence; The user interface unit provides a simple and intuitive operating interface for medical staff; The speech recognition unit converts the medical staff's voice instructions into text signals; The language processing unit is used to analyze and understand text signals.

6. The preoperative witness service device according to claim 1, characterized in that: The evidence preservation module includes an encryption processing unit, a cloud backup unit and a docking interface unit, wherein the encryption processing unit is connected to the cloud backup unit and the docking interface unit; The encryption processing unit is used to encrypt the stored data; The cloud backup unit is used to upload the encrypted electronic evidence to the cloud for backup storage; The docking interface unit is used to dock with the evidence management system.

7. A preoperative witness service method, used for the preoperative witness service device according to any one of claims 1 to 6, characterized in that: The following steps are involved: Collect audio, video, and electronic medical record data of preoperative conversations and perform preprocessing; Identification information of medical staff, patients and their families; Store, back up and index the collected data; Analyze surgical information to remind medical staff of surgical risks in real time; Encrypt data to generate electronic evidence, and perform cloud backup and system integration; Monitor preoperative processes in real time, record operation information, and generate process audit reports.

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