Hospital medical record online copying management method and computer equipment

Abstract

The invention discloses a hospital medical record online copying management method and computer equipment, and solves the problems that in the prior art, manual auditing efficiency is low, an auditing result is easily influenced by subjective cognition deviation, and consistency and objectivity of auditing standards are difficult to guarantee; and a current system is monotonous in interaction mode, lacks a multi-mode interaction function and is difficult to meet the diversified service requirements of the patient. A medical record copying application submitted by a patient through a patient end application program is received, intelligent filling of basic information is completed according to submitted application information, and a large language model is called to be combined with an auditing rule base preset by a hospital to judge compliance of the application; after the application is audited by the large language model, application information is pushed to a hospital end management platform, and a manual rechecking link is entered; and if the examination and verification are passed, the hospital medical record management personnel complete medical record retrieval, arrangement and copying operation on the encrypted hospital end management platform.

Description

TECHNICAL FIELD

[0001] The application relates to a hospital medical record online copying management method. BACKGROUND

[0002] With the continuous advancement of medical informatization, some medical institutions have initially developed medical record online copying services, but the existing technology still has significant limitations. In the audit link, although traditional artificial intelligence algorithms face challenges in handling complex and ambiguous application scenarios (such as semantic ambiguity in patient submission materials, insufficient special situation explanation, etc.), with the advancement of technology, the potential of artificial intelligence in medical audit and approval is being tapped. For example, by improving audit efficiency, reducing human errors, speeding up approval progress, and improving decision accuracy, artificial intelligence technology is gradually overcoming these challenges and significantly improving audit accuracy. The manual review mode not only has low efficiency, but the review results are easily affected by subjective cognitive bias, making it difficult to ensure the consistency and objectivity of the review standards. In the process operation layer, repetitive work such as information input, cost accounting, and express number generation still relies on manual processing, not only with high risk of operation errors, but also restricting the overall business processing efficiency. The current system interaction mode is monotonous, lacking multi-modal interaction function, and it is difficult to meet the diversified service needs of patients. In addition, the lack of intelligent credit management system makes it difficult for hospitals to manage patients in detail, seriously hindering the pace of intelligent and digital transformation of the medical industry. SUMMARY

[0003] The application provides a hospital medical record online copying management method and computer equipment, aiming to solve the problems of low efficiency of manual review in the prior art, and the review results are easily affected by subjective cognitive bias, making it difficult to ensure the consistency and objectivity of the review standards; in the process operation layer, repetitive work such as information input, cost accounting, and express number generation still relies on manual processing, not only with high risk of operation errors, but also restricting the overall business processing efficiency; and the current system interaction mode is monotonous, lacking multi-modal interaction function, and it is difficult to meet the diversified service needs of patients.

[0004] In a first aspect, a hospital medical record online copying management method is provided, comprising:

[0005] Receiving a medical record copying application submitted by a patient through a patient end application program, intelligently filling the basic information according to the submitted application information, and performing information format verification on the intelligently filled basic information to check whether the data meets the standard requirements; if the data is incorrect, the system guides the patient to correct the error through voice prompt or pop-up window notification;

[0006] The large language model is used to perform in-depth semantic analysis and logical reasoning on the application information and supporting documents submitted by the patient, and the compliance of the application is determined in combination with the hospital's preset review rule library. After the large language model reviews the application, if it passes, the application information will be pushed to the hospital management platform for manual review. If the review fails, the specific rejection reason and modification instructions will be immediately fed back, and the patient will be supported to make corrections and resubmit. If the review process involves repetitive operations such as information completion reminders and fee calculations, these will be automatically performed by the RPA program. For applications that fail the review, the RPA program will generate a correction notice and push it to the patient.

[0007] Receive manual review results from the hospital management platform. If not passed, receive feedback from the hospital and use the RPA program to generate a correction notice and push it to the patient. If the review is passed, the hospital medical record management personnel complete the medical record retrieval, sorting and copying operations on the encrypted hospital management platform. For patients who choose mail service, the RPA program connects with the logistics partner with security certification to generate an encrypted express delivery number, and automatically completes the order number entry and medical record information archiving process. At the same time, use blockchain technology to record the entire medical record processing process, ensure the non-tamperability of data operations, and protect the security and integrity of medical record information.

[0008] In the above scheme, optionally, the patient-side application can push medical record copying progress information in real time in the form of text messages, voice broadcasts or pop-up prompts. The medical record copying progress information includes the large language model review results, manual review status and medical record processing completion notification.

[0009] In the above solution, optionally, after the patient receives the medical record, the patient's evaluation feedback is received through the patient-side application, and natural language processing technology is used to deeply analyze the evaluation content to generate a targeted service quality improvement report.

[0010] In the above scheme, optionally, a credit assessment model can be constructed based on the multi-dimensional data of the patient's historical application behavior and credit record, and the patient's credit rating and credit record can be updated regularly to provide differentiated services such as priority review and simplified processes for patients with good credit.

[0011] In the above solution, optionally, a multi-dimensional statistical analysis is performed on the medical record copying reservation data to generate a multi-dimensional statistical report covering the application quantity trend, department demand distribution, and patient satisfaction;

[0012] Combined with the analysis of industry dynamics and policy changes by the large language model, a predictive analysis model is used to predict the demand for medical record copying in the future.

[0013] Use RPA programs to automatically complete a series of repetitive operational management tasks such as regular multi-dimensional statistical report generation and data backup.

[0014] In the above scheme, optionally, the application mode of the medical record copying application includes text input, voice instruction and image upload; for the application of voice instruction input, based on the multi-modal interaction technology, the voice instruction information is automatically converted into text, and is fused and processed with other input information; the user's identity card information or other image upload information uploaded through the image is automatically extracted by the OCR technology and converted into text;

[0015] According to the uploaded text input, the text converted from the voice instruction information, or the text information extracted by the OCR technology, the intelligent filling of the basic information of the medical record copying application is completed.

[0016] In the above scheme, optionally, after the patient installs the patient-side application program on the mobile device or the intelligent terminal, the registration process is allowed to be completed through text input or voice instruction;

[0017] Combined with the multi-modal interaction technology, the system can convert voice information into text, and automatically recognize the identity card information by using the OCR technology, so as to realize fast registration and login.

[0018] In the above scheme, optionally, after the medical record copying application submitted by the patient through the patient-side application program is received, the following steps are further included:

[0019] The patient is guided to supplement the specific time range of the medical record copying, the required number of copies, and to upload the identity card and related proof materials, then to select the pickup method, and finally to complete the payment; wherein, the pickup method includes self-pickup in the hospital or mailing service; if the patient selects the mailing service in the pickup method, the patient is further guided to supplement the mailing address;

[0020] After selecting the pickup method and completing the payment, the system immediately performs information format verification, and guides the patient to correct the error information through voice prompt or pop-up window notification.

[0021] In the above scheme, optionally, a high-level encryption algorithm meeting the national and industry standards is used for the system server, the stored data is encrypted throughout the life cycle, the safety storage of the patient information, the medical record data, the appointment record and the operation data is ensured, and a block chain storage system is introduced to comprehensively record each step of the medical record processing process.

[0022] In a second aspect, a computer device is provided, including a memory, a processor and a computer program stored in the memory, the processor executes the computer program to realize the steps of the above method.

[0023] Compared with the prior art, the present application has at least the following beneficial effects:

[0024] The present application is based on further analysis and research of the problems in the prior art. It is found that the artificial auditing efficiency is low, and the auditing result is easily affected by subjective cognitive bias, which makes it difficult to ensure the consistency and objectivity of the auditing standard. In the process operation level, the repetitive work such as information input, cost accounting and express number generation still depends on manual processing, which not only has a high risk of operation failure, but also restricts the overall business processing efficiency. Moreover, the current system interaction mode is monotonous, lacking multi-modal interaction function, which is difficult to meet the diversified service needs of patients. By introducing a large language model for deep semantic analysis and logical reasoning, and combining with the hospital's preset auditing rule library to realize intelligent auditing, the auditing efficiency and accuracy are effectively improved, and the interference of human factors is reduced. By using RPA program to automatically perform repetitive operations such as information completion reminder, cost calculation and express number generation, the risk of operation failure is reduced, and the business processing efficiency is significantly improved. At the same time, by using voice prompts, pop-up notifications and other interactive methods, the system interaction mode is enriched, and the diversified service needs of patients are met. In addition, by using blockchain technology to store evidence of the whole process of medical record processing, the data operation is ensured to be tamper-proof, and the security and integrity of the medical record information are ensured, so as to realize the intelligent, efficient and secure management of medical record copying, and improve the patient experience and hospital management efficiency.

[0025] The present application also has at least the following advantages:

[0026] Patient perspective: Multi-modal interaction technology significantly improves the convenience and ease of use of application operation, meets the usage habits of different user groups; real-time progress notification function effectively relieves patient waiting anxiety; differentiated service based on credit system enhances patient satisfaction and loyalty, and encourages users to maintain good credit behavior.

[0027] Hospital perspective: Large language model auditing technology greatly improves auditing efficiency and accuracy, reduces manual auditing cost; RPA process automation significantly reduces human operation errors and improves business processing efficiency; intelligent prediction and dynamic operation management mechanism optimizes resource allocation and supports precise operation decision-making; credit management system helps to improve patient service quality and hospital management level, and enhances market competitiveness.

[0028] Industry perspective: The present application integrates multiple advanced technologies and brings intelligent solutions to medical record management, effectively promoting the transformation of medical information management to automation and diversification, showing excellent technical innovation and industry promotion potential, indicating that it will become a new technical benchmark in the field of medical record management. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 A flowchart of a hospital medical record online copying management method provided by an embodiment of the present application.

[0030] Figure 2 A system architecture diagram of a hospital medical record online copying management method is provided for an embodiment of the present application.

[0031] Figure 3 A large language model review process diagram is provided for an embodiment of the present application.

[0032] Figure 4 An RPA process operation schematic diagram is provided for an embodiment of the present application.

[0033] Figure 5 A multi-modal interaction process diagram is provided for an embodiment of the present application.

[0034] Figure 6 A credit management process diagram is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0036] In the description of the present application: unless otherwise stated, the expressions "include", "contain", "have" and the like also mean "not limited to" (some units, components, materials, steps, etc.).

[0037] The present application aims to build an online medical record management system integrating large language model intelligent review, RPA process automation, multi-modal interaction and credit evaluation, etc. Through the deep integration of innovative technologies, the accuracy and efficiency of medical record copying review are improved, the automatic processing of business processes is realized, the user interaction experience is optimized, and the operation management mechanism is perfected, so as to enhance the core competitiveness of medical institutions in the field of medical record management, and promote the intelligent upgrading of medical information management technology.

[0038] In one embodiment, referring to Figure 1 and Figure 2 , a hospital medical record online copying management method is provided, comprising:

[0039] Receiving a medical record copying application submitted by a patient through a patient end application, intelligently filling the basic information according to the submitted application information, and performing information format verification on the intelligently filled basic information to check whether the data meets the standard requirements; if the data is incorrect, the system guides the patient to correct the error through voice prompt or pop-up window notification;

[0040] Referring to Figure 3, calling a large language model to perform deep semantic analysis and logical reasoning on the application information and proof documents submitted by the patient, combining with the preset audit rule library of the hospital to determine the compliance of the application; after the large language model audits the application, if it passes, the application information is pushed to the hospital end management platform and enters the manual review link; if it fails, the specific rejection reason and modification guidance are fed back immediately, and the patient is supported to modify and resubmit; if the information completion reminder and repetitive operation of cost calculation are involved in the audit process, the RPA program automatically executes; for the application that fails the audit, the RPA program generates a correction notice and pushes it to the patient end;

[0041] Reference Figure 4 , receiving the manual review result of the hospital end management platform, if it fails, receiving the feedback of the hospital end and generating a correction notice using the RPA program and pushing it to the patient end; if the audit passes, the hospital medical record management personnel completes the medical record retrieval, sorting and copying operations on the encrypted hospital end management platform; for patients who choose mailing services, the RPA program interfaces with a logistics partner with security authentication, generates an encrypted express number, and automatically completes the number entry and medical record information archiving process; at the same time, the whole process of medical record processing is stored by using blockchain technology to ensure the non-tamperability of data operation and the security and integrity of medical record information.

[0042] To solve the problems raised in the background art, the present application proposes an innovative online medical record copying management method. This method uses the deep semantic analysis capability of a large language model combined with a preset audit rule library to realize intelligent audit of medical record applications, effectively eliminating subjective bias in manual audits. At the same time, RPA process automation technology is introduced to automate repetitive tasks such as information completion and cost calculation, significantly improving processing efficiency and accuracy. In terms of interactive experience, the system supports multi-modal interaction methods such as voice prompts and pop-up notifications to provide intelligent operation guidance for patients. In addition, the whole process is stored by using blockchain technology to ensure the security and traceability of medical record information, and interfaces with a secure logistics system to realize encrypted management of the whole process of medical record copying and mailing.

[0043] This scheme combines intelligent audit, process automation and security protection technology, not only significantly improves the efficiency and accuracy of medical record copying management, but also provides users with a safer and more convenient service experience, effectively solving many pain points of traditional management modes.

[0044] In one embodiment, the medical record copying progress information is pushed in real time in the form of text messages, voice broadcasts or pop-up prompts through the patient end application program, including large language model audit results, manual review status and medical record processing completion notification.

[0045] In this embodiment, the patient-side application pushes the medical record copying progress information in various forms such as text messages, voice broadcasts, or pop-up prompts in real time. The medical record copying progress information includes large language model review results, manual review status, and medical record processing completion notifications. This multi-modal real-time pushing method can meet the needs and usage habits of different patients, ensuring that patients can timely and accurately understand the status of each stage of medical record copying.

[0046] For example, for patients with poor eyesight or inconvenience to view the phone screen, the voice broadcast function can help them understand the progress at any time; while for patients who are used to confirming through text information, text messages and pop-up prompts provide clear and intuitive progress display. By pushing the review results of the large language model in real time, patients can know whether the application is approved or not, as well as the specific reasons for disapproval and modification guidelines, so as to quickly correct and resubmit the application. In the manual review link, patients can track the review status in real time, avoiding anxiety and waiting due to information opacity. When the medical record processing is completed, the patient will receive a clear notification that the medical record copying has been completed and the subsequent arrangement for pickup or mailing.

[0047] This real-time, multi-modal progress pushing mechanism not only improves the patient's satisfaction with the medical record copying process, but also enhances the transparency of hospital services and the convenience of patient experience, further optimizing the entire medical record copying management process.

[0048] In one embodiment, after the patient receives the medical record, the patient receives evaluation feedback through the patient-side application, and uses natural language processing technology to deeply analyze the evaluation content to generate a targeted service quality improvement report.

[0049] In this embodiment, the system establishes a closed-loop service quality optimization mechanism. When the patient receives the medical record through the patient-side application, the system will intelligently trigger the satisfaction evaluation process, guiding the patient to evaluate from multiple dimensions such as service efficiency, operation convenience, and information accuracy. The system uses natural language processing technology to deeply analyze the collected text evaluations, and based on the analysis results, the system automatically generates a service quality report containing improvement priority ranking, with a focus on highlighting recurring problems, sudden service abnormalities, and patient core demands. This report will serve as an important basis for hospital management decisions, driving continuous optimization of service processes, and ultimately achieving a virtuous cycle of "patient feedback - intelligent analysis - service improvement".

[0050] In one embodiment, referring to Figure 6 Based on multi-dimensional data such as patient historical application behavior and credit records, a credit evaluation model is constructed to regularly update patient credit levels and credit records, and to provide differentiated services such as priority review and simplified processes for patients with good credit.

[0051] In this embodiment, the system will build a credit evaluation model based on the patient's historical application behavior (such as whether the application is compliant, whether the correction is on time) and credit record (such as whether the fee is paid on time, whether there is a violation). This model will regularly update the patient's credit rating and provide different services according to the credit rating:

[0052] Good credit patients: can enjoy priority review, the application will be processed faster; can also enjoy process simplification, such as reducing information filling, skipping part of the review link.

[0053] Poor credit patients: stricter review, may need to provide more information, or certain services may be limited.

[0054] At the same time, patients can check their credit rating and record at any time, and can also appeal if they have any objections. This not only encourages patients to maintain good credit, but also improves overall service efficiency. The credit system realizes the optimal allocation of service resources under the premise of ensuring medical information security through data-driven fine management, which not only improves the service experience of high-quality patients, but also effectively prevents malicious application risks. At the same time, the transparent credit mechanism also promotes the benign interaction between doctors and patients.

[0055] In one embodiment, multi-dimensional statistical analysis is performed on medical record copying reservation data to generate multi-dimensional statistical reports covering application quantity trend, department demand distribution, and patient satisfaction;

[0056] Combined with the analysis results of the large language model on industry trends and policy changes, the future period of medical record copying demand is predicted using a prediction analysis model;

[0057] RPA program is used to automatically complete a series of repetitive operation management tasks such as regular multi-dimensional statistical report generation and data backup.

[0058] In this embodiment, by organically combining business data, external environment and intelligent algorithms, not only the automation and intelligentization of operation management are realized, but also data support is provided for hospital resource allocation and service optimization. The system supports hospital managers to master business dynamics in real time through multi-dimensional data dashboards, assisting management decision-making.

[0059] In one embodiment, referring to Figure 5 , the application method of medical record copying application includes text input, voice instruction and image upload; for voice instruction input application, based on multi-modal interaction technology, voice instruction information is automatically converted to text, and other input information is fused and processed; OCR technology is used to automatically extract user's ID card information or other image upload information uploaded through image upload and convert it into text;

[0060] According to the uploaded text input, voice instruction information converted text, or OCR technology extracted text information, the intelligent filling of the medical record copying application basic information is completed.

[0061] In this embodiment, by constructing a "voice-image-text" multi-modal interaction system, the digital divide is significantly reduced, and special groups such as elderly patients and disabled people can also conveniently complete the application. In this way, patients can choose the input method according to their habits, and the system will process different forms of input through technical means to complete the intelligent filling of the application information, improve the application efficiency and convenience.

[0062] In one embodiment, after the patient installs the patient-side application on the mobile device or smart terminal, the patient is allowed to complete the registration process through text input or voice instructions;

[0063] Combined with multi-modal interaction technology, the system can convert voice information into text and automatically identify identity card information using OCR technology, thereby realizing fast registration and login.

[0064] In one embodiment, the patient can also use files such as medical records for OCR identification to identify key information in the medical record, such as the patient's name and diagnosis results, thereby improving the automation and intelligence level of medical document management.

[0065] In one embodiment, after receiving the medical record copying application submitted by the patient through the patient-side application, the system further includes:

[0066] The patient is guided to supplement the specific time range of the medical record copying, the required number of copies, and upload the identity card and related proof materials, then select the pickup method, and finally complete the payment; wherein the pickup method includes self-pickup at the hospital or mailing service; if the patient selects the mailing service in the pickup method, the patient is also required to supplement the mailing address;

[0067] After selecting the pickup method and completing the payment, the system immediately performs information format verification and guides the patient to correct the error information through voice prompts or pop-up windows.

[0068] In this embodiment, after the patient submits the medical record copying application, the system will further guide the patient to complete the following operations: supplementary information: guide the patient to supplement the specific time range of the medical record copying (for example, the medical record during a certain hospitalization period). Specify the required number of copies of the medical record copying. Upload the ID card and related proof materials (such as diagnosis proof, authorization letter, etc.). Choose the pickup method: the patient can choose to pick up in person or use the mailing service. If the mailing service is chosen, the system will further guide the patient to supplement the mailing address. Complete the payment of the medical record copying fee: after the patient chooses the pickup method, complete the payment of the medical record copying fee. Information format verification: after the patient completes the payment, the system will immediately verify the format of the supplemented information. If it is found that the information is incorrect (such as incorrect ID number format, incomplete mailing address, etc.), the system will guide the patient to correct the error information through voice prompts or pop-up windows.

[0069] Through this process design, the system can ensure that the information submitted by the patient is accurate and correct, while providing flexible pickup methods to improve the patient's use experience.

[0070] The system immediately performs format verification after the patient completes information filling and payment, which can timely find and prompt error information, avoiding subsequent processing problems caused by incorrect information (such as incorrect mailing address, incorrect ID number, etc.).

[0071] Through voice prompts or pop-up windows, the patient is guided to quickly correct errors, ensuring that the submitted information meets the standard requirements and reducing the situation of returning the application due to incomplete or incorrect information during manual review.

[0072] Supporting multiple interaction methods such as text input, voice instructions, and image upload, the patient can choose the most convenient method according to their habits and actual situation, improving the convenience and flexibility of operation.

[0073] In one embodiment, the system server uses high-level encryption algorithms that meet national and industry standards to encrypt stored data throughout its lifecycle, ensuring the secure storage of patient information, medical record data, appointment records, and operational data. A blockchain storage system is introduced to comprehensively record every step of the medical record processing process.

[0074] In this embodiment, high-level encryption algorithms that meet national and industry standards are used to encrypt stored data throughout its lifecycle, ensuring that patient information, medical record data, appointment records, and operational data are in an encrypted state from creation, storage, transmission to destruction, preventing data from being illegally accessed or leaked at any stage. A blockchain storage system is introduced to utilize the tamper-proof and distributed ledger characteristics of blockchain to comprehensively record every step of the medical record processing process, ensuring the authenticity and integrity of the data. Once the data is recorded on the blockchain, any unauthorized modification will be detected, thereby providing additional protection for data security.

[0075] The solution of the present application is described from another aspect as follows.

[0076] In one embodiment, a method for online appointment application, management and operation of medical records copying of patients in a hospital is provided, which specifically comprises the following steps:

[0077] Step A1, multi-modal intelligent application process: patients can submit medical record copying appointment applications through the patient terminal application (including WeChat mini program) by using multi-modal methods such as text input, voice command or image upload. The system realizes automatic conversion of voice information to text based on multi-modal interaction technology, and performs fusion processing with other input information; the system automatically extracts information of identity cards and other certificates by using optical character recognition (OCR) technology, and completes intelligent filling of basic information. The patient needs to supplement the specific time range of medical record copying, the required number of copies, the mailing address (if choosing mailing service), and upload the identity card and related proof materials, then choose the pickup method (self-pickup or mailing service), and finally complete the payment. After submitting the application, the system performs information format verification to ensure that the data meets the standard requirements.

[0078] Step A2, deep review of large language model and RPA collaborative mechanism: the system uses a large language model to perform deep semantic analysis and logical reasoning on the application information and proof files submitted by the patient, and combines with the preset audit rule library of the hospital (covering material requirements for different copying purposes, identity verification rules, etc.) to realize intelligent judgment of application compliance. For information completion reminders and repetitive operations such as fee calculation involved in the audit process, RPA programs are automatically executed. The application that passes the audit by the large language model enters the secondary review link of the hospital end; the application that fails to pass the audit is immediately fed back with specific rejection reasons and modification guidelines, and the patient is supported to modify and resubmit. The hospital medical record management personnel reviews the application that passes the audit by the large language model through the hospital end management platform, and if the review is passed, the application enters the subsequent processing flow, otherwise, the hospital end management platform feeds back to the patient according to the established process.

[0079] Step A3, secure medical record processing and RPA assisted operation: after passing the audit, the hospital medical record management personnel completes the medical record retrieval, sorting and copying operation on the encrypted hospital end management platform. For patients who choose mailing service, the system generates an encrypted express number together with a secure certified logistics partner, and then automatically executes the number input and medical record information archiving process through RPA (robotic process automation) programs. At the same time, the whole process of medical record processing is stored by using blockchain technology to ensure the non-tamperability of data operation and the security and integrity of medical record information.

[0080] Step A4, real-time intelligent notification and multi-dimensional feedback system: The system pushes the medical record copying progress information in real time through the patient application, including large language model review results, manual review status, and medical record processing completion notification, in the form of text messages, voice broadcasts, pop-up prompts, and other forms. After receiving the medical record, the patient can quantitatively score the service quality through the application and provide specific opinions and suggestions from each link of the service process. The system uses natural language processing technology to deeply analyze the evaluation content, and generates a targeted service quality improvement report accordingly. In addition, based on multi-dimensional data such as patient historical application behavior and credit record, a credit evaluation model is constructed to provide differentiated services such as priority review and process simplification for patients with good credit.

[0081] Step A5, intelligent prediction and dynamic operation management strategy: The system conducts multi-dimensional statistical analysis on medical record copying reservation data, generates statistical reports covering application quantity trends, department demand distribution, patient satisfaction, and other dimensions, and combines the analysis results of large language models on industry trends and policy changes to predict future medical record copying demand using predictive analysis models. Hospital management personnel can flexibly adjust resource allocation for medical record management, optimize service process details, and carefully develop marketing strategies to achieve precise service based on operation reports and prediction data. At the same time, RPA programs can automatically complete a series of repetitive operation management tasks such as regular report generation and data backup.

[0082] In one embodiment, a system for online medical record copying reservation application, management, and operation of patients and hospitals is also provided, mainly including the following modules:

[0083] Intelligent multi-modal patient application: Integrates multi-modal interaction modules, supports text, voice, image, and other input methods, and is equipped with OCR recognition function to realize automatic collection of identity information; provides information format verification, online payment, real-time progress tracking, multi-dimensional evaluation feedback, and credit level display functions. End-to-end encryption technology is used to ensure data interaction security and realize reliable communication with the system server.

[0084] Intelligent hospital management platform: Contains a large language model review module to realize deep semantic analysis of application materials; an RPA process automation module to perform repetitive operation tasks; a secure medical record processing module to ensure information security throughout the medical record processing process; an operation report intelligent analysis module to support multi-dimensional data analysis and demand prediction; and a credit management module to realize patient credit evaluation and differentiated service management for different roles (medical record management personnel and hospital managers).

[0085] The secure intelligent system server adopts top-level encryption technology to ensure the secure storage of patient information, medical record data, appointment records, and operation data, and introduces a blockchain storage system to comprehensively record every step of the medical record processing process. As the core of data interaction, the server can securely and efficiently realize data transmission and sharing between the patient end and the hospital end. It carries the core logic of medical record management, covering key functions such as large language model review, RPA process automation execution, progress real-time tracking, statistical analysis, and credit evaluation.

[0086] In one embodiment, a patient and hospital medical record online copying appointment application, management and operation device is also provided: the device integrates a memory and a processor, and carries a computer program that can be run. After the program is started, the processor will drive the implementation of all the processes of the above-mentioned online management of medical records, while ensuring the smooth operation of the functions of each module of the system.

[0087] (I) Patient end operation implementation.

[0088] After installing the multi-modal patient end application program on the mobile device or smart terminal, the patient can complete the registration process through text input or voice instructions. Combined with multi-modal interaction technology, the system can convert voice information into text and automatically identify identity card information using OCR technology, thereby realizing fast registration and login. For example, in the medical industry, key information such as patient name and diagnosis results in medical records can be automatically identified using OCR technology, improving the automation and intelligence level of medical document management. After entering the medical record copying appointment interface, the patient can choose to submit application information in text, voice, or image mode, and the system automatically parses the key information such as time and number of copies in the voice instructions and completes the form filling. After selecting the pickup method and completing the payment, the system immediately performs information format verification and guides the patient to correct the error information through voice prompts or pop-up windows. The patient can now use the "progress query" function of the application program to obtain the application review status in real time in text or voice mode, including efficient review by the large language model, manual review, and medical record processing progress. After receiving the medical record, the patient can perform quantitative scoring in the "service evaluation" module and provide detailed feedback on the application process, review efficiency, and medical record quality through text input or voice recording functions. In addition, the application program supports the patient to view the personal credit level and corresponding rights and interests in real time.

[0089] (II) Hospital end operation implementation.

[0090] After the hospital medical record management personnel log in to the hospital end management platform, the system will automatically start the large language model audit module to conduct deep semantic analysis on the newly submitted application, and the audit result (pass / fail) and its basis will be displayed in the application list in real time. For applications that do not pass the audit, the RPA program will quickly generate a correction notice and push it to the patient end immediately. For applications that pass the large language model audit, the management personnel need to carefully check the patient information, application materials and audit basis in the review interface, and click confirm pass after no error is found; if problems are found, the rejection reason needs to be filled in detail, and the system will automatically send a feedback notice to the patient. After the audit is passed, the management personnel complete the medical record retrieval and copying operation in the secure medical record processing module, and interface with the cooperative logistics agency to obtain an encrypted express number, which is automatically entered by the RPA program and the medical record information is archived. Hospital management personnel can check statistical reports and prediction data through the operation report intelligent analysis module, and when the analysis result shows that the medical record copying demand of a specific department will surge in the future period, the RPA program automatically generates a personnel allocation and equipment preparation task list. In addition, the credit management module regularly assesses the credit status of patients, and marks patients with good credit to ensure that they enjoy priority processing services in subsequent applications.

[0091] (III) System server running implementation.

[0092] The system server uses high-level encryption algorithms that meet national and industry standards, such as AES-128 or AES-256, to encrypt stored data throughout its life cycle, ensuring data storage security. These algorithms have been rigorously evaluated and widely applied, and have become one of the most popular algorithms in symmetric key encryption. When receiving the application data submitted by the patient, the server first performs format checking and integrity verification, and after verification, triggers the large language model audit process, calling the audit rule library and large language model for joint audit. During the audit process, the RPA program automatically performs information completion, cost calculation and other tasks according to the preset rules. During the hospital end audit stage, the server updates the application status in real time according to the audit result, and pushes the notification to the patient end through the encrypted channel. During the medical record processing process, the server uses blockchain technology to chain the storage of medical record retrieval, copying, express number generation and other operations, and the RPA program completes the number entry and information archiving. The server performs data statistical analysis tasks regularly according to the preset period, and generates operation reports and prediction reports based on the deep analysis capability of the large language model on external information, and then stores these reports in the designated database for hospital management personnel to retrieve at any time. In addition, the server builds a credit evaluation model based on multi-dimensional data, regularly updates the patient credit level and credit record, and realizes dynamic management of credit data.

[0093] In one embodiment, a computer device is also provided, comprising a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above-mentioned embodiment method.

[0094] The technical features of the above embodiments can be combined in any manner. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combinations of the technical features do not contradict each other, they shall be considered within the scope of the present disclosure.

Claims

1. A hospital medical record online copy management method, characterized in that: include: Receive medical record copy requests submitted by patients through the patient-side application, intelligently fill in basic information based on the submitted application information, and perform information format verification on the intelligently filled basic information to check whether the data meets the standard requirements; if the data is incorrect, the system will guide the patient to correct the error through voice prompts or pop-up notifications; The large language model is used to perform in-depth semantic analysis and logical reasoning on the application information and supporting documents submitted by the patient, and the compliance of the application is determined in combination with the hospital's preset review rule library. After the large language model reviews the application, if it passes, the application information is pushed to the hospital management platform for manual review. If the review fails, the specific rejection reason and modification instructions are immediately fed back, and the patient is encouraged to make corrections and resubmit. If the review process involves repetitive operations such as information completion reminders and fee calculations, these are automatically performed by the RPA program. For applications that fail to pass the review, the RPA program will generate a correction notice and push it to the patient; Receive manual review results from the hospital management platform. If the result is not passed, receive feedback from the hospital and use the RPA program to generate a correction notice and push it to the patient. If the review is passed, the hospital's medical record management personnel will complete the medical record retrieval, organization, and copying operations on the encrypted hospital-side management platform. For patients who choose mail services, the RPA program will connect with logistics partners with security certification to generate encrypted express delivery numbers, and automatically complete the number entry and medical record information archiving process. At the same time, blockchain technology will be used to record the entire medical record processing process, ensuring that data operations cannot be tampered with and protecting the security and integrity of medical record information.

2. The hospital medical record online copy management method according to claim 1, characterized in that: Through the patient-side application, medical record copying progress information is pushed in real time in various forms such as text messages, voice broadcasts or pop-up prompts. The medical record copying progress information includes the large language model review results, manual review status and medical record processing completion notification.

3. The hospital medical record online copy management method according to claim 1, characterized in that: After the patient receives the medical record, we receive the patient's evaluation feedback through the patient-side application, and use natural language processing technology to deeply analyze the evaluation content to generate targeted service quality improvement reports.

4. The hospital medical record online copy management method according to claim 1, characterized in that: Based on the multi-dimensional data of patients' historical application behavior and credit records, a credit assessment model is constructed, and patients' credit ratings and credit records are updated regularly to provide differentiated services such as priority review and simplified processes for patients with good credit.

5. The hospital medical record online copy management method according to claim 1, characterized in that: Conduct multi-dimensional statistical analysis on medical record copying reservation data and generate multi-dimensional statistical reports covering application quantity trends, department demand distribution, and patient satisfaction; Combined with the analysis of industry dynamics and policy changes by the large language model, a predictive analysis model is used to predict the demand for medical record copying in the future. Use RPA programs to automatically complete a series of repetitive operational management tasks such as regular multi-dimensional statistical report generation and data backup.

6. The hospital medical record online copy management method according to claim 1, characterized in that: Medical record copying applications can be submitted through text input, voice commands, and image uploads. For voice command input applications, multimodal interaction technology is used to automatically convert voice command information into text and integrate it with other input information. OCR technology is used to automatically extract ID card information or other image uploaded information from users through images and convert it into text. Intelligent filling of basic information for medical record copy application is completed based on uploaded text input, text converted from voice command information, or text information extracted by OCR technology.

7. The hospital medical record online copy management method according to claim 1, characterized in that: After the patient installs the patient-side application on a mobile device or smart terminal, the registration process is completed through text input or voice commands; Combined with multimodal interaction technology, the system can convert voice information into text and use OCR technology to automatically recognize identity document information, thereby achieving fast registration and login.

8. The hospital medical record online copy management method according to claim 1, characterized in that: After receiving the medical record copy application submitted by the patient through the patient-side application, the method further includes: The patient is guided to provide the specific timeframe and number of copies required for the medical records, upload their ID card and relevant supporting documents, select a pickup method, and complete payment. Pickup methods include in-person pickup or mail service. If the patient selects mail service, the patient is also guided to provide a mailing address. After selecting the pickup method and completing payment, the system will immediately verify the information format and guide the patient to correct incorrect information through voice prompts or pop-up notifications.

9. The hospital medical record online copy management method according to claim 1, characterized in that: The system server uses advanced encryption algorithms that comply with national and industry standards to encrypt stored data throughout its life cycle, ensuring the secure storage of patient information, medical record data, appointment records, and operational data. A blockchain evidence storage system is also introduced to comprehensively record every step of medical record processing.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory, wherein: The processor executes the computer program to implement the steps of the method according to claim 1.

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