Smart medical system suitable for Internet hospital

Abstract

The invention discloses an intelligent medical system suitable for an internet hospital, and relates to the technical field of intelligent medical treatment, and the system comprises the following steps: building an electronic health record, and obtaining the information of a patient; performing remote diagnosis and treatment according to the patient information to obtain a diagnosis and treatment result; performing medicine management according to the diagnosis and treatment result to obtain medicine management information; performing patient health monitoring according to the medicine management information to obtain patient health data; personalized health suggestions are made according to the health data of the patient, and health suggestions are obtained; performing patient health tracking and feedback according to the health suggestions to obtain health feedback; making and adjusting a rehabilitation plan according to the health feedback to obtain the rehabilitation plan; and performing health assessment and diagnosis and treatment feedback according to the rehabilitation plan. The accuracy of drug recommendation is improved, the safety and effectiveness of a treatment scheme are ensured, the scientificity and individual adaptability of health suggestions are improved, and the effectiveness and sustainability of a health management scheme are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of smart medical technology, and in particular to a smart medical system suitable for Internet hospitals. Background Art

[0002] With the development of Internet technology and artificial intelligence, Internet hospitals have gradually become an important model of modern medical services. Relying on telemedicine, intelligent data analysis and personalized health management, Internet hospitals have achieved the optimal allocation of medical resources and provided patients with convenient and efficient medical services.

[0003] In the existing technology, intelligent drug management has shortcomings: existing drug management usually relies on electronic prescription ePrescription technology, which is evaluated based on the general pharmacopoeia rules and drug interaction database. It fails to make precise adjustments based on the patient's individual health status, medical history and real-time physiological indicators, which can easily lead to mismatched drug selection and affect the treatment effect.

[0004] In the existing technology, there are deficiencies in personalized health advice: current personalized health advice is mainly based on simple diet and exercise recommendations based on health records and basic health indicators (such as BMI, blood sugar, blood pressure), and is unable to perform personalized optimization based on multi-dimensional data such as the patient's dynamic health status, behavioral habits, and lifestyle, resulting in a lack of long-term guiding value for health advice. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a smart medical system suitable for Internet hospitals to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: In a first aspect, an embodiment of the present invention provides a smart medical system applicable to an Internet hospital, comprising the following steps: S1. Establish electronic health records and obtain patient information; S2. Perform remote diagnosis and treatment based on patient information and obtain diagnosis and treatment results; S3. Perform drug management according to the diagnosis and treatment results and obtain drug management information; S4. Monitor the patient's health based on the drug management information to obtain the patient's health data; S5. Get personalized health advice based on the patient’s health data; S6. Follow up and provide feedback on patient health based on health recommendations and obtain health feedback; S7. Formulate and adjust the rehabilitation plan based on health feedback to obtain a rehabilitation plan; S8. Conduct health assessment and treatment feedback according to the rehabilitation plan.

[0007] To further optimize this technical solution, the drug management in S3 includes: Based on the results of remote diagnosis and treatment, doctors prescribe medicines for patients and use drug recommendation models to provide personalized drug pairing suggestions based on patient information.

[0008] To further optimize the technical solution, the drug recommendation model includes: ; in: : The maximum value of the comprehensive benefit of drug prescription; : The overall efficacy of the drug combination; : The overall risk of the drug combination; , : Weighting coefficient.

[0009] To further optimize the technical solution, the calculation of the total therapeutic effect of the drug combination includes: ; in: : weighting coefficient of the ith drug; : The efficacy score of the ith drug.

[0010] To further optimize the technical solution, the calculation of the total risk of the drug combination includes: ; in: : Risk score of the ith drug; : The strength coefficient of the interaction between drug i and drug j; : The interaction score between drug i and drug j.

[0011] To further optimize the technical solution, the personalized health advice in S5 includes: Based on the patient's health data, a health status analysis model is used, combined with the patient's behavioral data, to derive the patient's overall health status, and generate personalized health recommendations for the patient based on the health status.

[0012] To further optimize the technical solution, the health status analysis model includes: ; in: : Patient's physical health status score; , , : adjustment coefficient; , , : weighting coefficient; : The standardized value of the ith physiological index; : The effect score of the jth health behavior; : Risk score of the kth health risk.

[0013] To further optimize the technical solution, the preparation and adjustment of the rehabilitation plan in S7 includes: Based on health feedback data, combined with the patient's physical condition and psychological state, the adaptive rehabilitation model is used to derive the patient's current rehabilitation status, and a personalized rehabilitation plan is developed for the patient based on the rehabilitation status.

[0014] To further optimize the technical solution, the adaptive rehabilitation model includes: ; in: : Rehabilitation effect score; , : weight coefficient; : The score of the first mental health factor; : The weight of the lth mental health factor.

[0015] Further optimize this technical solution, including the following functional modules: Data management module, remote diagnosis and treatment module, drug management module, health monitoring module, health advice module, health feedback module, plan making module, and health assessment module.

[0016] In a second aspect, an embodiment of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of a smart medical system applicable to an Internet hospital as described in the first aspect of the present invention are implemented.

[0017] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of a smart medical system applicable to an Internet hospital as described in the first aspect of the present invention are implemented.

[0018] Compared with the prior art, the present invention provides a smart medical system suitable for Internet hospitals, which has the following beneficial effects: This intelligent medical system suitable for Internet hospitals uses a drug recommendation model to comprehensively consider the efficacy and risk of drug interactions, optimize the drug recommendation strategy, improve the accuracy of drug recommendations, and ensure the safety and effectiveness of treatment plans.

[0019] Through the health status analysis model, the multi-dimensional data of the patient's physiological status, behavior, and health risks are combined to understand the patient's physical health status, conduct real-time optimization, and dynamically adjust the health management plan, thereby improving the scientific nature and individual adaptability of health advice and enhancing the effectiveness and sustainability of the health management plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A schematic diagram of a process of a smart medical system applicable to an Internet hospital proposed by the present invention; Figure 2 A flowchart of a drug recommendation model for an intelligent medical system of an Internet hospital proposed by the present invention; Figure 3 A flow chart of a health status analysis model for a smart medical system applicable to an Internet hospital proposed by the present invention; Figure 4 A schematic diagram of a process of an adaptive rehabilitation model of a smart medical system applicable to an Internet hospital proposed by the present invention; Figure 5 This is a module schematic diagram of a smart medical system suitable for Internet hospitals proposed by the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] Embodiment 1:

[0026] Reference Figure 1 to Figure 4 , which is the first embodiment of the present invention, and provides a smart medical system applicable to an Internet hospital, comprising the following steps: S1. Establish electronic health records and obtain patient information.

[0027] In this embodiment, the establishment of an electronic health record includes: Through the historical medical records, diagnostic information, test results, and drug use records provided by patients, a comprehensive and structured file is established using electronic health record EHR (existing technology) technology to facilitate subsequent medical services and data sharing. The file includes not only the patient's basic information, but also various health test results and doctors' diagnosis and treatment records, helping doctors to understand the patient's health status more accurately and develop personalized treatment plans.

[0028] S2. Perform remote diagnosis and treatment based on the patient's information to obtain the diagnosis and treatment results.

[0029] In this embodiment, the remote diagnosis and treatment includes: Doctors access patients' health records through remote platforms and use the acquired patient information for remote diagnosis and treatment. Patients interact with doctors through video, audio, and text to ensure the quality of remote medical services. Remote diagnosis and treatment not only improves the accessibility of medical services, but also allows regular follow-up for patients with mild symptoms and chronic diseases to ensure the continuity and personalization of treatment plans.

[0030] S3. Perform drug management according to the diagnosis and treatment results to obtain drug management information.

[0031] In this embodiment, the drug management includes: Based on the results of remote diagnosis and treatment, doctors prescribe medicines for patients and use drug recommendation models to provide personalized drug pairing recommendations based on patients' health data, past medication history, and drug interaction information to avoid inappropriate drug combinations and ensure patient safety and treatment effectiveness.

[0032] Furthermore, the drug recommendation model includes: ; in: : The maximum value of the comprehensive benefit of drug prescription, with the goal of maximizing efficacy and minimizing the risk of drug interactions; : The overall efficacy of the drug combination, based on individual patient characteristics and the known efficacy of the drugs; : The overall risk of a drug combination, based on drug interactions, patient allergies, and health status; , : Weighting coefficient, dynamically adjusted according to the patient's condition; The model comprehensively considers the efficacy and the risk of drug interactions to arrive at the optimal drug combination.

[0033] Furthermore, the calculation of the total efficacy of the drug combination includes: ; in: : The weighting coefficient of the i-th drug is adjusted based on the patient's specific condition, age, gender and other factors; : The efficacy score of the ith drug is evaluated based on clinical data and clinical trial results of the drug.

[0034] Furthermore, the calculation of the total risk of the drug combination includes: ; in: : The risk score of the ith drug is set according to the drug's side effects and allergic reaction factors; : The strength coefficient of the interaction between drug i and drug j, adjusted based on the severity of the drug interaction; : The interaction score between drug i and drug j is set based on the existing drug interaction database.

[0035] The steps to use the above model include: Data acquisition: According to the patient information obtained in step S1, including medical history, current disease, medication history, and allergy history data, set the weighting coefficient corresponding to each drug , get the efficacy score of each drug and risk score ; Drug combination analysis: Obtain the interaction strength coefficient between drugs through the drug interaction database and interaction scores , calculate the total efficacy of the drug combination and total risk , thereby obtaining the maximum value of the comprehensive benefit of drug prescription .

[0036] Drug recommendations: Based on the calculated maximum value of the comprehensive benefits of drug prescriptions, the optimal drug combination is obtained, and the recommended drugs and their dosages are listed in the prescription. If the patient has special needs or a history of allergies, the model will automatically adjust the drug selection to ensure the patient's safety.

[0037] S4. Monitor the patient's health based on the drug management information to obtain the patient's health data.

[0038] In this embodiment, the patient health monitoring includes: Based on the drug management information, the patient's health status is monitored through smart devices (such as smart bracelets, smart blood glucose meters, etc.) when the patient uses the drug, and health data (such as heart rate, blood sugar, blood pressure, etc.) is collected in real time. The doctor monitors the patient's health status in real time through the remote platform, evaluates the effect of drug treatment, and adjusts the treatment plan when necessary. This process can provide patients with more personalized health management and ensure that drug treatment matches the patient's actual physiological state.

[0039] S5. Get personalized health advice based on the patient’s health data.

[0040] In this embodiment, the personalized health advice includes: Based on the patient's health data, using the health status analysis model and combining it with the patient's behavioral data, the patient's overall health status is derived, and personalized health recommendations are generated for the patient based on the health status to ensure that the patient's health status is improved and potential risks are reduced.

[0041] Furthermore, the health status analysis model includes: ; in: : The patient's physical health status score, which indicates the comprehensive effect of personalized health advice; , , : Adjustment coefficient, which controls the impact of physiological state, behavior, and health risk on physical health status score, and the sum of the three is 1; , , : are the weighted coefficients of the ith physiological state, jth behavior, and kth health risk, respectively, adjusted based on patient information; : The standardized value of the i-th physiological index comes from the patient's real-time health monitoring data, including blood sugar, heart rate, weight, etc.; : The effect score of the jth health behavior reflects the impact of the patient's diet, exercise and other health behaviors on their health status; : The risk score of the kth health risk, including drug side effects, disease recurrence risk, etc.; The model describes the relationship between a patient's overall health status and physiological state, behavior, and health risks.

[0042] Uses of the model include: Data acquisition: The real-time health data of the patient is obtained from step S4 and combined with the patient information as the input of the model for scoring calculation; Score calculation: Based on the acquired health data, including physiological indicators ,Behavior , Health Risks , adjust the corresponding coefficient according to the patient's personal characteristics and calculate the patient's physical health score ; Generate recommendations: Based on the patient's health status score , generate personalized health recommendations, including adjustments in exercise, diet, etc., to ensure that patients' health status is improved and potential risks are reduced.

[0043] S6. Track and provide feedback on patient health based on health recommendations and obtain health feedback.

[0044] In this embodiment, the patient health tracking and feedback includes: After giving personalized health advice, patients upload their daily health data on the platform, including physiological data, behavioral records, and psychological state, provide health feedback, and regularly track changes in the patient's health. If the patient's health condition improves, the system will encourage the patient to maintain it. If the health data fails to improve, the doctor will adjust the plan and conduct further intervention.

[0045] S7. Formulate and adjust the rehabilitation plan based on health feedback to obtain a rehabilitation plan.

[0046] In this embodiment, the preparation and adjustment of the rehabilitation plan includes: Based on health feedback data, combined with the patient's physical and psychological state, the adaptive rehabilitation model is used to determine the patient's current rehabilitation status, and a personalized rehabilitation plan is developed for the patient based on the rehabilitation status. This plan not only covers physical treatment of the patient, but also includes psychological intervention. The patient executes the rehabilitation plan on time on the platform, and the doctor checks the rehabilitation progress at any time through the remote platform and makes adjustments when necessary. The goal of the rehabilitation plan is to improve the patient's quality of life, reduce the relapse rate, and promote the patient's long-term health.

[0047] Furthermore, the adaptive rehabilitation model includes: ; in: : Rehabilitation effect score, which indicates the comprehensive effect of the current rehabilitation program; , : Weight coefficient, reflecting the influence of the patient's physical and psychological state on the rehabilitation effect; : The score of the first mental health factor is obtained through questionnaire surveys and psychological assessment tools; : The weight of the first mental health factor is adjusted based on the patient's psychological condition, including anxiety, depression, etc.; The model combines multidimensional information of the patient's physical condition and psychological state to reflect the effectiveness of the rehabilitation program.

[0048] Uses of this model include: Data collection and analysis: Obtain scores of patients’ different psychological conditions through questionnaires, psychological assessment tools, etc. , and obtain the patient's physical health score from step S5 , as model input; Effect score calculation: Calculate the patient's current rehabilitation effect score based on the collected data , used to develop a personalized rehabilitation plan; Plan formulation and adjustment: According to the rehabilitation effect score, formulate a personalized rehabilitation plan, including physiological rehabilitation goals, behavioral guidance, risk management measures and mental health intervention, and continuously monitor the patient's rehabilitation data, including changes in physiological, behavioral and psychological status, and adjust the rehabilitation plan in real time to ensure that the patient can get the best support during the rehabilitation process.

[0049] S8. Conduct health assessment and treatment feedback according to the rehabilitation plan.

[0050] In this embodiment, the health assessment and diagnosis and treatment feedback include: After the patient implements the rehabilitation plan, the data analysis technology (existing technology) is used to conduct a final assessment of the patient's health status. The patient's rehabilitation data, examination results, and health feedback information are combined to determine whether the patient's overall health status has reached the expected goal. The assessment results are fed back to the patient's electronic health record to provide a basis for subsequent health management. If the patient's rehabilitation process goes smoothly, the doctor can recommend continuing with the existing plan. If there is a problem, the doctor will readjust the treatment plan and provide new health management guidance.

[0051] Embodiment 2:

[0052] Reference Figure 5 , which is the second embodiment of the present invention, and provides a smart medical system suitable for Internet hospitals, including the following functional modules: Data management module: collects data on patients’ physiology, medical history, medication, rehabilitation progress, etc., and builds patient health records; Remote diagnosis and treatment module: remote diagnosis and treatment based on patient information; Medication management module: Provides personalized drug pairing recommendations based on the patient's health data, past medication history, and drug interaction information; Health monitoring module: real-time monitoring of the patient's health status, evaluation of drug treatment effects, and adjustment of treatment plans; Health advice module: Generates personalized health advice for patients based on their health conditions; Health feedback module: patients provide health feedback, regularly track patients' health changes, and make recommendations based on their health conditions; Plan formulation module: formulate and dynamically adjust the rehabilitation plan based on the patient's physical and psychological conditions; Health assessment module: Conduct health assessment based on the patient's health status after implementing the rehabilitation plan.

[0053] Embodiment three:

[0054] This embodiment also provides a computer device, which is applicable to a smart medical system applicable to an Internet hospital, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a smart medical system applicable to an Internet hospital as proposed in the above embodiment.

[0055] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, a smart medical system suitable for an Internet hospital as proposed in the above embodiment is implemented.

[0056] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0057] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0058] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0059] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk case (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0060] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit with a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit with a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0061] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A smart medical system suitable for Internet hospitals, characterized in that: The following steps are involved: S1. Establish electronic health records and obtain patient information; S2. Perform remote diagnosis and treatment based on patient information and obtain diagnosis and treatment results; S3. Perform drug management according to the diagnosis and treatment results and obtain drug management information; S4. Monitor the patient's health based on the drug management information to obtain the patient's health data; S5. Get personalized health advice based on the patient’s health data; S6. Follow up and provide feedback on patient health based on health recommendations and obtain health feedback; S7. Formulate and adjust the rehabilitation plan based on health feedback to obtain a rehabilitation plan; S8. Conduct health assessment and treatment feedback according to the rehabilitation plan.

2. According to claim 1, a smart medical system suitable for an Internet hospital is characterized in that: The medication management in S3 includes: Based on the results of remote diagnosis and treatment, doctors prescribe medicines for patients and use drug recommendation models to provide personalized drug pairing suggestions based on patient information.

3. The intelligent medical system applicable to an Internet hospital according to claim 2, characterized in that: The drug recommendation model includes: ； in: : The maximum value of the comprehensive benefit of drug prescription; : The overall efficacy of the drug combination; : The overall risk of the drug combination; , : Weighting coefficient.

4. The intelligent medical system applicable to an Internet hospital according to claim 3, characterized in that: The calculation of the overall efficacy of the drug combination includes: ； in: : weighting coefficient of the ith drug; : The efficacy score of the ith drug.

5. The intelligent medical system applicable to an Internet hospital according to claim 3, characterized in that: The calculation of the total risk of the drug combination includes: ； in: : Risk score of the ith drug; : The strength coefficient of the interaction between drug i and drug j; : The interaction score between drug i and drug j.

6. The intelligent medical system applicable to an Internet hospital according to claim 1, characterized in that: The personalized health recommendations in S5 include: Based on the patient's health data, a health status analysis model is used, combined with the patient's behavioral data, to derive the patient's overall health status, and generate personalized health recommendations for the patient based on the health status.

7. The intelligent medical system applicable to an Internet hospital according to claim 6, characterized in that: The health status analysis model includes: ； in: : Patient's physical health status score; , , : adjustment coefficient; , , : weighting coefficient; : The standardized value of the ith physiological index; : The effect score of the jth health behavior; : Risk score of the kth health risk.

8. The intelligent medical system applicable to an Internet hospital according to claim 1, characterized in that: The development and adjustment of the rehabilitation program in S7 includes: Based on health feedback data, combined with the patient's physical condition and psychological state, the adaptive rehabilitation model is used to derive the patient's current rehabilitation status, and a personalized rehabilitation plan is developed for the patient based on the rehabilitation status.

9. The intelligent medical system applicable to Internet hospitals according to claim 8, characterized in that: The adaptive rehabilitation model includes: ； in: : Rehabilitation effect score; , : weight coefficient; : The score of the first mental health factor; : The weight of the lth mental health factor.

10. The intelligent medical system applicable to an Internet hospital according to claim 1, characterized in that: Includes the following functional modules: Data management module, remote diagnosis and treatment module, drug management module, health monitoring module, health advice module, health feedback module, plan making module, and health assessment module.

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