An ai doctor assistant management device and system based on a large model

By using AI-assisted doctor management equipment and systems based on large models, combined with lifting components and multi-module functions, the problem of patient information leakage in traditional equipment has been solved, achieving information security, improved diagnosis and treatment efficiency, and optimized clinic operations.

CN122455299APending Publication Date: 2026-07-24THE AFFILIATED SIR RUN RUN SHAW HOSPITAL OF SCHOOL OF MEDICINE ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THE AFFILIATED SIR RUN RUN SHAW HOSPITAL OF SCHOOL OF MEDICINE ZHEJIANG UNIV
Filing Date
2026-02-13
Publication Date
2026-07-24

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Abstract

The application discloses an AI doctor auxiliary management equipment and system based on a large model, which comprises a fixed base, a lifter shell is fixedly installed at the top of the fixed base, and a lifting assembly is installed in the lifter shell; the system encrypts patient information, avoids patient information leakage, provides quick medical record and prescription filling, and intelligently intervenes in auxiliary diagnosis and treatment, greatly shortens the doctor diagnosis time, improves the diagnosis and treatment efficiency of the clinic, improves the pharmacy management function, adds warehouse in-out management, inventory checking, medicine price adjustment, supplier management pharmacy management function, and better manages medicine inventory; perfect financial management provides charging, refunding, arrears, and inquiry financial function, helps clinic managers to conveniently and quickly master the financial status of the clinic; a wechat customized clinic transformation service platform is used, member service function is opened, and on the basis of original wechat promotion, the platform promotion ability of the clinic is improved.
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Description

Technical Field

[0001] This invention relates to the field of medical device technology, specifically to an AI-assisted doctor management device and system based on a large model. Background Technology

[0002] AI systems can perform millisecond-level analysis of medical images such as CT scans, gastroscopy, and X-rays, accurately identifying tiny lesions that are difficult for the human eye to detect. For example, in lung nodule detection, the recognition rate for nodules smaller than 3 mm is improved by 25%, with a diagnostic accuracy exceeding 95%. In gastroscopy, AI can mark "high-risk lesions" in real time and remind doctors to pay close attention, increasing the early cancer detection rate to 33.47% and helping to discover a large number of precancerous lesions. AI can automatically compare patients' historical images and dynamically track changes in lesions, such as enlargement and increased density, assisting in judging the trend of malignant development and reducing omissions caused by insufficient experience or fatigue. AI can shorten doctors' image reading time by 40%, quickly locking in key information, allowing doctors to focus more on the comprehensive judgment of complex cases. Through the "pre-consultation" function, patients fill in their symptoms on their mobile phones before their visit, and AI automatically generates a structured medical history report, providing doctors with preliminary analysis suggestions and making consultation time more efficient. In radiology and endoscopy centers, AI assistance enables doctors to complete screenings faster, alleviating the pressure of strained medical resources, and is therefore widely used.

[0003] Among them, doctors use clinical data such as images and physiological parameters generated by physician-assisted management equipment to conduct scientific research and treatment innovation, promote the integration of multiple disciplines such as surgery and imaging, give rise to new treatment models, and thus enhance the clinical value of the equipment.

[0004] However, traditional physician-assisted management devices have the following drawbacks: Traditional physician-assisted management devices store patient information, which is then centrally stored in hospital information systems or cloud platforms. If the system is hacked or internal personnel mishandle the information, it may lead to large-scale leakage of personal information and cause incalculable economic losses. Summary of the Invention

[0005] The purpose of this invention is to provide an AI-assisted doctor management device and system based on a large model, in order to solve the problem mentioned in the background art that the patient information stored in traditional doctor-assisted management devices is centrally stored in hospital information systems or cloud platforms. Once the system is attacked by hackers or internal personnel violate regulations, it may lead to large-scale leakage of personal information and cause incalculable economic losses.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an AI doctor-assisted management device based on a large model, comprising a fixed base, a lifting housing fixedly installed at the top of the fixed base, a lifting assembly installed inside the lifting housing, a height platform fixedly installed at the top of the lifting assembly, a motor housing fixedly installed at the top of the height platform, a display screen at the top of the motor housing, a control panel fixedly installed on the surface of the lifting housing, and fixing mechanisms fixedly installed at both ends of the fixed base; the lifting assembly includes a lifting platform and a lifting cylinder, the middle of the top of the lifting platform is fixedly connected to the movable end of the lifting cylinder, and lifting rods are slidably connected to both sides of the top of the lifting platform; each of the two fixing mechanisms includes a fixed shell and a fixed platform, miniature cylinders are fixedly installed on both sides of the top of the inner wall of the fixed shell, the movable ends of the two miniature cylinders are respectively fixedly connected to both sides of the top of the fixed platform, and several ground stakes are fixedly installed at the bottom of the fixed platform.

[0007] As a further technical solution of the present invention, the fixed end of the lifting cylinder and the top ends of the two lifting rods are fixedly connected to the height platform, one end of the lifting platform is fixedly connected to the lifting machine housing, the lifting cylinder performs telescopic movement, the lifting cylinder pushes from the bottom of the height platform, so that the lifting rod slides relative to the lifting platform, thereby adjusting the height of the height platform.

[0008] As a further technical solution of the present invention, one side of each of the two fixed shells is fixedly connected to the fixed base. The fixing mechanism is installed on the fixed base through the fixed shells. The micro cylinder performs telescopic movement and pushes the fixed platform from the top, so that the ground stake on the fixed platform is inserted into the place of use to complete the fixing of the device.

[0009] As a further technical solution of the present invention, a stepper motor is fixedly installed inside the motor housing, and a direction shaft is fixedly installed at the output end of the stepper motor. The top end of the direction shaft is fixedly connected to the bottom end of the display screen. When the stepper motor is powered on, it starts and drives the direction shaft to rotate, thereby adjusting the display direction of the display screen.

[0010] As a further technical solution of the present invention, the four corners of the bottom of the fixed base are all fixedly installed with movable wheels. The movable wheels contact the ground to generate friction, which makes it convenient for the user to move the transport device.

[0011] This invention provides an AI-assisted doctor management system based on a large model, comprising an auxiliary management system, which includes a doctor's prescription module, a drug management module, a medical insurance integration module, a program expansion module, a follow-up service module, and a big data governance module. The AI-powered medical consultation and prescription module provides AI-generated prescriptions for patients; the drug management module manages drug inventory; the medical insurance integration module performs AI-based medical insurance calculations; the program extension module expands auxiliary management content; and the follow-up service module provides ongoing support, such as: nurses and therapists can quickly query and deduct patient fees; automatic performance statistics can be exported with one click; all payment methods include electronic medical insurance vouchers; and a single scanning box is all that's needed. It offers low rates with next-day payment, supports integration with 95% of examination and testing equipment, allows one computer to manage all instruments, automatically transmits test results, and enables online pharmacies to deliver prescriptions to patients' homes, allowing clinics to operate pharmacies with zero inventory. It also provides a complete chronic disease management solution based on authoritative guidelines, enabling zero-threshold operation of chronic disease business, and rigorously selects high-quality suppliers, including traditional Chinese medicine, Chinese and Western medicines, medical devices, and reagents and consumables, offering a complete range of products at low prices.

[0012] As a further technical solution of the present invention, the medical prescription module includes a privacy encryption module, a clinic manager sub-module, a history recall sub-module, and an AI medical brain sub-module. The privacy encryption module includes a privacy storage unit and a privacy protection unit. The privacy encryption module encrypts each patient's information, and access requires a corresponding key. The clinic manager submodule uses AI to receive patients, diagnose, and prescribe corresponding medications. The history retrieval submodule quickly retrieves patients' historical medical records and prescriptions to aid in diagnosis and treatment. The AI ​​medical brain submodule includes AI diagnosis with 8,000+ common symptom alerts and 5,000+ disease diagnoses, achieving a 95% accuracy rate. The intelligent prescription review is based on an authoritative pharmaceutical knowledge base, quickly identifying potential risks in prescriptions. The medical knowledge base includes 200,000 drug instructions and thousands of classic and empirical prescriptions, which can be quickly retrieved and viewed during prescription writing. The privacy storage unit utilizes dual cloud services from Alibaba Cloud and Tencent Cloud.

[0013] As a further technical solution of the present invention, the drug management module includes an inbound and outbound management submodule, an intelligent early warning submodule, and a drug inventory submodule; The inbound / outbound management submodule allows for one-click import of drug delivery orders, completing the process in 5 seconds, eliminating manual data entry and preventing errors and omissions. The intelligent early warning submodule, based on recent sales data, provides intelligent early warning functions for expiration dates, inventory, and gross profit, enabling timely adjustments to drug procurement strategies. The expired drug rate is reduced by 90%, and inventory backlog is reduced by 30%. The drug inventory submodule supports mobile phone scanning for inventory and multi-person inventory checks, and the inventory check time for 500 kinds of drugs is only 30 minutes, increasing efficiency by 10 times.

[0014] As a further technical solution of the present invention, the medical insurance docking module includes a medical insurance settlement sub-module, an automatic code matching sub-module, and a compliance assistant sub-module; The medical insurance settlement submodule provides a clear overview of medical insurance settlement details, and reconciliation and settlement can be completed with a single click, ensuring worry-free payment. It fully supports all payment methods, including physical medical insurance cards, electronic vouchers, mobile payments, and facial recognition payments. The automatic code matching submodule scans drug barcodes and automatically completes code matching and standardization, which is fast and accurate. The compliance assistant submodule provides intelligent compliance reminders, reducing the risk of medical insurance expenses not being approved and regulatory penalties.

[0015] As a further technical solution of the present invention, the program extension module includes a WeChat program submodule, a membership system submodule, and a chain operation submodule; The WeChat program submodule allows patients to easily participate in the entire process before, during, and after a consultation via WeChat. The membership system submodule, through membership tiers, promotions, recharge bonuses, and personalized services, improves patient loyalty and repeat visit rates. It provides coupons, discounts, and rebates to help clinics attract new customers and increase repeat visits. Managers can monitor revenue data, employee performance, and medical analysis in real time, gaining comprehensive control over clinic operations. Patients earn points during their visits, which can be redeemed for coupons and gifts, enhancing patient engagement. The franchise operation submodule unifies membership, pharmaceutical, and marketing strategies at headquarters, supporting both direct operation and franchise models, and offering full functionality across multiple devices including computers, tablets, and mobile phones.

[0016] As a further technical solution of the present invention, the big data governance module includes an electronic medical record standardization submodule, an electronic medical record semantic standardization submodule, and a disease-specific deep structuring submodule; The electronic medical record standardization submodule transforms scattered, unstructured, and non-standardized text into structured data. The electronic medical record semantic standardization submodule identifies various entities and entity attributes and performs semantic normalization. The disease-specific deep structuring submodule enables customized medical record information extraction, quickly and efficiently completing the establishment of a disease-specific database and significantly saving manpower.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. The system encrypts patient information to prevent leakage, provides quick medical record and prescription filling, and intelligent auxiliary diagnosis and treatment intervention, which greatly shortens the doctor's diagnosis time and improves the clinic's diagnosis and treatment efficiency. The privacy storage unit adopts dual cloud services from Alibaba Cloud and Tencent Cloud. 2. Improve pharmacy management functions by adding inbound and outbound management, inventory counting, drug price adjustment, and supplier management functions to better manage drug inventory; 3. Comprehensive financial management, providing functions for charging, refunding, handling outstanding fees, daily settlement, and financial inquiry, helping clinic managers to easily and quickly grasp the clinic's financial status; 4. Utilize WeChat to customize the clinic's service platform for transformation, and simultaneously enable membership services to enhance the clinic's platform promotion capabilities based on existing WeChat promotion. Attached Figure Description

[0018] Figure 1 This is a side view of the present invention; Figure 2 This is a cross-sectional view of the present invention; Figure 3 This is a partial schematic diagram of the present invention; Figure 4 This is a schematic diagram of the architecture of the auxiliary management system of the present invention; Figure 5 This is a schematic diagram of the architecture of the prescription module for medical treatment in this invention; Figure 6 This is a schematic diagram of the architecture of the drug management module of the present invention; Figure 7 This is a schematic diagram of the medical insurance integration module of the present invention; Figure 8 This is a schematic diagram of the architecture of the program extension module of the present invention; Figure 9 This is a schematic diagram of the architecture of the big data governance module of the present invention; Figure 10 This is a perspective view of the lifting component of the present invention.

[0019] In the diagram: 1. Fixed base; 2. Lift housing; 3. Lifting assembly; 31. Lifting rod; 32. Lifting cylinder; 33. Lifting platform; 4. Height platform; 5. Motor housing; 6. Display screen; 7. Casters; 8. Stepper motor; 9. Direction axis; 10. Auxiliary management system; 11. Prescription module; 111. Privacy encryption module; 1111. Privacy storage unit; 1112. Privacy protection unit; 112. Clinic manager sub-module; 113. History retrieval sub-module; 114. AI medical brain sub-module; 12. Drug management module; 121. Inventory management sub-module; 122. Intelligent early warning sub-module; 123. 13. Drug Inventory Submodule; 131. Medical Insurance Integration Submodule; 132. Medical Insurance Settlement Submodule; 133. Automatic Code Matching Submodule; 134. Compliance Assistant Submodule; 15. Program Extension Submodule; 16. WeChat Program Submodule; 17. Membership System Submodule; 18. Chain Operation Submodule; 19. Follow-up Service Submodule; 10. Big Data Governance Submodule; 11. Electronic Medical Record Standardization Submodule; 12. Electronic Medical Record Semantic Standardization Submodule; 13. Disease-Specific Deep Structured Submodule; 14. Control Panel; 15. Fixing Mechanism; 16. Fixing Shell; 17. Miniature Cylinder; 18. Fixing Platform; 19. Ground Pile. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figure 1-10 This invention provides an AI-assisted management device for doctors based on a large model, including a fixed base 1, a lifting housing 2 fixedly installed at the top of the fixed base 1, a lifting assembly 3 installed inside the lifting housing 2, a height platform 4 fixedly installed at the top of the lifting assembly 3, a motor housing 5 fixedly installed at the top of the height platform 4, a display screen 6 at the top of the motor housing 5, a control panel 17 fixedly installed on the surface of the lifting housing 2, and fixing mechanisms 18 fixedly installed at both ends of the fixed base 1; the lifting assembly 3 includes a lifting platform 33 and a lifting cylinder 32, the middle of the top of the lifting platform 33 is fixedly connected to the movable end of the lifting cylinder 32, and lifting rods 31 are slidably connected to both sides of the top of the lifting platform 33; each of the two fixing mechanisms 18 includes a fixed shell 181 and a fixed platform 183, micro cylinders 182 are fixedly installed on both sides of the top of the inner wall of the fixed shell 181, the movable ends of the two micro cylinders 182 are respectively fixedly connected to both sides of the top of the fixed platform 183, and several ground stakes 184 are fixedly installed at the bottom of the fixed platform 183.

[0022] The fixed end of the lifting cylinder 32 and the top of the two lifting rods 31 are fixedly connected to the height platform 4, and one end of the lifting platform 33 is fixedly connected to the lifting housing 2.

[0023] In use, the lifting cylinder 32 extends and retracts. The lifting cylinder 32 is pushed from the bottom of the height platform 4, causing the lifting rod 31 to slide relative to the lifting platform 33, thereby adjusting the height of the height platform 4.

[0024] One side of each of the two fixed shells 181 is fixedly connected to the fixed base 1.

[0025] In use, the fixing mechanism 18 is installed on the fixing base 1 through the fixing shell 181, and the micro cylinder 182 performs telescopic movement. The micro cylinder 182 pushes the fixing platform 183 from the top, so that the ground stake 184 on the fixing platform 183 is inserted into the place of use to complete the fixing of the device.

[0026] A stepper motor 8 is fixedly installed inside the motor housing 5. A direction shaft 9 is fixedly installed at the output end of the stepper motor 8. The top end of the direction shaft 9 is fixedly connected to the bottom end of the display screen 6. When the stepper motor 8 is powered on, it starts and drives the direction shaft 9 to rotate, thereby adjusting the display direction of the display screen 6.

[0027] The four corners of the bottom of the fixed base 1 are all fixedly installed with movable wheels 7. The movable wheels 7 rub against the ground, making it easy for the user to move the transport device.

[0028] The present invention provides an AI doctor-assisted management system based on a large model, including an auxiliary management system 10, which includes a doctor-prescription module 11, a drug management module 12, a medical insurance connection module 13, a program expansion module 14, a follow-up service module 15, and a big data governance module 16. The AI-powered medical consultation and prescription module 11 provides AI-based medical consultations and prescriptions for patients. The drug management module 12 manages the inbound and outbound inventory of drugs. The medical insurance integration module 13 performs AI-based medical insurance calculations. The program extension module 14 expands the auxiliary management content. The follow-up service module 15 provides follow-up support, such as: nurses and physiotherapists can quickly query and deduct patient items; automatic performance statistics can be exported with one click; all payment methods include electronic medical insurance vouchers; one scanning box is all you need; low rates with next-day payment; support for 95% of examination and testing equipment; one computer can manage all instruments; test results are automatically transmitted back; after the clinic issues a prescription, the online pharmacy delivers the medicine to the patient's home; the clinic operates the pharmacy with zero inventory; a complete solution for chronic disease management based on authoritative guidelines; zero barriers to starting chronic disease business; and a selection of high-quality suppliers, including traditional Chinese medicine, Chinese and Western medicine, medical devices, and reagents and consumables, with a complete range of categories and low prices.

[0029] The medical prescription module 11 includes a privacy encryption module 111, a clinic manager sub-module 112, a history retrieval sub-module 113, and an AI medical brain sub-module 114. The privacy encryption module 111 includes a privacy storage unit 1111 and a privacy protection unit 1112. The privacy encryption module 111 encrypts each patient's information, and access requires a corresponding key. The clinic manager submodule 112 uses AI to receive patients and diagnose and prescribe corresponding medications. The history retrieval submodule 113 quickly retrieves patients' historical medical records and prescriptions to aid in diagnosis and treatment. The AI ​​medical brain submodule 114 uses AI diagnosis, which includes 8,000+ common symptom prompts and 5,000+ disease diagnoses with a 95% accuracy rate. The intelligent prescription review is based on an authoritative pharmaceutical knowledge base, which quickly identifies potential risks in prescriptions. The medical knowledge base includes 200,000 drug instructions and thousands of sets of classic and empirical prescriptions, which can be quickly retrieved and viewed when prescribing. The privacy storage unit 1111 uses dual cloud services from Alibaba Cloud and Tencent Cloud.

[0030] The drug management module 12 includes an inbound and outbound management submodule 121, an intelligent early warning submodule 122, and a drug inventory submodule 123; The Inbound / Outbound Management submodule 121 allows for one-click import of drug delivery orders, completing the process in 5 seconds, eliminating manual data entry and preventing errors and omissions. The Intelligent Early Warning submodule 122 provides intelligent early warning functions for expiration dates, inventory, and gross profit based on recent sales data, enabling timely adjustments to drug procurement strategies; the rate of expired drugs is reduced by 90%, and inventory backlog is reduced by 30%. The Drug Inventory Submodule 123 supports mobile phone scanning for inventory and multi-person inventory, and the inventory time for 500 kinds of drugs is only 30 minutes, increasing efficiency by 10 times.

[0031] The medical insurance integration module 13 includes a medical insurance settlement sub-module 131, an automatic code matching sub-module 132, and a compliance assistant sub-module 133. The medical insurance settlement sub-module 131 provides a clear overview of medical insurance settlement details, enabling one-click reconciliation and settlement for worry-free payments. It fully supports all payment methods, including physical medical insurance cards, electronic vouchers, mobile payments, and facial recognition payments. The automatic code matching sub-module 132 allows users to scan drug barcodes and automatically complete code matching and standardization, ensuring speed and accuracy. The compliance assistant sub-module 133 provides intelligent compliance reminders, reducing the risk of non-payment of medical insurance fees and regulatory penalties.

[0032] The program extension module 14 includes a WeChat program submodule 141, a membership system submodule 142, and a chain operation submodule 143; The WeChat program submodule 141 allows patients to easily participate in the entire process before, during, and after a consultation via WeChat. The membership system submodule 142, through membership tiers, promotions, recharge bonuses, and personalized services, improves patient loyalty and repeat visit rates. It provides coupons, discounts, and rebates to help clinics attract new customers and increase repeat visits. Managers can monitor revenue data, employee performance, and medical analysis in real time, gaining comprehensive control over clinic operations. Patients earn points during their visits, which can be redeemed for coupons and gifts, enhancing patient engagement. The chain operation submodule 143 unifies membership, pharmaceutical, and marketing strategies at headquarters, supporting direct operation and franchise models, and providing full functionality across multiple terminals including computers, tablets, and mobile phones.

[0033] The big data governance module 16 includes an electronic medical record standardization submodule 161, an electronic medical record semantic standardization submodule 162, and a disease-specific deep structuring submodule 163; The electronic medical record standardization submodule 161 transforms scattered, unstructured, and non-standardized text into structured data. The electronic medical record semantic standardization submodule 162 identifies various entities and entity attributes and performs semantic normalization. The disease-specific deep structuring submodule 163 enables customized medical record information extraction, quickly and efficiently completing the establishment of a disease-specific database and significantly saving manpower.

[0034] In this invention, the lifting cylinder 32 performs a telescopic movement, pushing from the bottom of the height platform 4, causing the lifting rod 31 to slide relative to the lifting platform 33, adjusting the height of the height platform 4, and subsequently adjusting the display height of the display screen 6. The privacy encryption module 111 encrypts each patient's information, and access requires a corresponding key. The clinic manager submodule 112 uses AI to receive patients and diagnose and prescribe corresponding prescriptions. The history retrieval submodule 113 quickly retrieves the patient's historical medical records and prescriptions to aid in diagnosis and treatment. The AI ​​medical brain submodule 1... 14. AI Diagnosis includes 8000+ common symptom alerts and 5000+ disease diagnoses with a 95% accuracy rate. Intelligent Prescription Review is based on an authoritative pharmaceutical knowledge base, quickly identifying potential risks in prescriptions. The medical knowledge base includes 200,000 drug instructions and thousands of classic and empirical prescriptions, which can be quickly retrieved and viewed when prescribing. The Inventory Management Submodule 121 allows for one-click import of drug delivery orders, completing the process in 5 seconds, eliminating manual entry and preventing errors and omissions. The Intelligent Early Warning Submodule 122 provides intelligent early warning functions for expiration dates, inventory, and gross profit based on recent sales data, allowing for timely adjustments to drug procurement strategies.The expired drug rate is reduced by 90%, and inventory backlog is reduced by 30%. The drug inventory module 123 supports mobile phone scanning for inventory and multi-person inventory. Inventorying 500 types of drugs takes only 30 minutes, increasing efficiency tenfold. The medical insurance settlement module 131 provides a clear view of medical insurance settlement details, and reconciliation and settlement are completed with one click, ensuring worry-free payment. It fully supports all payment methods including physical medical insurance cards, electronic vouchers, mobile payments, and facial recognition payments. The automatic barcode scanning module 132 scans drug barcodes and automatically completes barcode verification, ensuring speed and accuracy. The compliance assistant module 133 provides intelligent compliance reminders, reducing the risk of non-payment of medical insurance funds and regulatory penalties. The WeChat application submodule 141 allows patients to easily participate in the entire pre-diagnosis, diagnosis, and post-diagnosis process via WeChat. The membership system submodule 142, through membership tiers, promotions, recharge bonuses, and personalized services, improves patient loyalty and repeat visit rates. It provides coupons, discounts, and rebates to help clinics attract new customers and increase repeat visits. Managers can monitor revenue data, employee performance, and medical analysis in real time, gaining comprehensive control over clinic operations. Patients earn points during their visits, which can be redeemed for coupons and gifts, enhancing patient loyalty. The chain operation submodule 143 unifies membership management at headquarters. This system supports pharmaceuticals and marketing strategies, including direct operation and franchise models. It supports multiple terminals such as computers, tablets, and mobile phones, offering comprehensive functionality. The system provides installation, data migration, and job training services to help clinics quickly adopt the new system. It utilizes two high-security cloud data servers from Alibaba Cloud and Tencent Cloud for dual data protection. By listening to clinics' needs through various channels, the system proposes practical solutions. With an annual R&D investment of over 100 million RMB and hundreds of version releases, rapid iteration ensures a good user experience. This system is suitable for various types of clinics, including Western medicine, traditional Chinese medicine, general practice, dentistry, optometry, pediatrics, and cosmetic medicine, as well as small and medium-sized individual clinics. This system is designed for medical institutions of all sizes, from large clinics and chain clinics to community hospitals. It features a user-friendly interface, is easy to learn, and boasts powerful functions; installing the system is as simple as installing a mobile app. As a new generation of primary healthcare system, it utilizes dual cloud services from Alibaba Cloud and Tencent Cloud. The electronic medical record standardization submodule 161 transforms scattered, unstructured, and non-standardized text into structured data. The electronic medical record semantic standardization submodule 162 identifies various entities and entity attributes and performs semantic normalization. The specialized disease deep structuring submodule 163 enables customized medical record information extraction, quickly and efficiently establishing a specialized disease database, significantly saving manpower.

[0035] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An AI-assisted management device for doctors based on a large model, comprising a fixed base (1). Its features are: The top of the fixed base (1) is fixedly installed with a lifting housing (2), the inside of the lifting housing (2) is installed with a lifting component (3), the top of the lifting component (3) is fixedly installed with a height platform (4), the top of the height platform (4) is fixedly installed with a motor housing (5), the top of the motor housing (5) is provided with a display screen (6), the surface of the lifting housing (2) is fixedly installed with a control panel (17), and both ends of the fixed base (1) are fixedly installed with a fixing mechanism (18). The lifting assembly (3) includes a lifting platform (33) and a lifting cylinder (32). The middle part of the top of the lifting platform (33) is fixedly connected to the movable end of the lifting cylinder (32). Lifting rods (31) are slidably connected to both sides of the top of the lifting platform (33). Both of the fixing mechanisms (18) include a fixing shell (181) and a fixing platform (183). Miniature cylinders (182) are fixedly installed on both sides of the top of the inner wall of the fixing shell (181). The movable ends of the two miniature cylinders (182) are fixedly connected to the top two sides of the fixing platform (183). Several ground stakes (184) are fixedly installed at the bottom of the fixing platform (183).

2. The AI ​​doctor-assisted management device based on a large model according to claim 1, characterized in that: The fixed end of the lifting cylinder (32) and the top of the two lifting rods (31) are fixedly connected to the height platform (4), and one end of the lifting platform (33) is fixedly connected to the elevator housing (2).

3. The AI ​​doctor-assisted management device based on a large model according to claim 1, characterized in that: One side of each of the two fixed shells (181) is fixedly connected to the fixed base (1).

4. The AI ​​doctor-assisted management device based on a large model according to claim 1, characterized in that: A stepper motor (8) is fixedly installed inside the motor housing (5). A direction shaft (9) is fixedly installed at the output end of the stepper motor (8). The top end of the direction shaft (9) is fixedly connected to the bottom end of the display screen (6).

5. The AI-assisted doctor management device based on a large model according to claim 1, characterized in that: The fixed base (1) has four fixed corners at the bottom of each of the four sides equipped with casters (7).

6. An AI doctor-assisted management system based on a large model according to any one of claims 1-5, comprising an auxiliary management system (10), characterized in that: The auxiliary management system (10) includes a doctor's prescription module (11), a drug management module (12), a medical insurance docking module (13), a program expansion module (14), a follow-up service module (15), and a big data governance module (16).

7. The AI ​​doctor-assisted management system based on a large model according to claim 6, characterized in that: The medical prescription module (11) includes a privacy encryption module (111), a clinic manager sub-module (112), a history recall sub-module (113), and an AI medical brain sub-module (114). The privacy encryption module (111) includes a privacy storage unit (1111) and a privacy protection unit (1112).

8. The AI ​​doctor-assisted management system based on a large model according to claim 6, characterized in that: The drug management module (12) includes an inbound and outbound management submodule (121), an intelligent early warning submodule (122), and a drug inventory submodule (123).

9. The AI ​​doctor-assisted management system based on a large model according to claim 6, characterized in that: The medical insurance docking module (13) includes a medical insurance settlement sub-module (131), an automatic code matching sub-module (132), and a compliance assistant sub-module (133).

10. The AI ​​doctor-assisted management system based on a large model according to claim 6, characterized in that: The program extension module (14) includes a WeChat program submodule (141), a membership system submodule (142), and a chain operation submodule (143).

11. The AI ​​doctor-assisted management system based on a large model according to claim 6, characterized in that: The big data governance module (16) includes an electronic medical record standardization submodule (161), an electronic medical record semantic standardization submodule (162), and a disease-specific deep structuring submodule (163).