Comprehensive health management method and system for medical service

Abstract

The invention discloses a comprehensive health management method and system for medical services, and particularly relates to the technical field of medical health, and the method comprises the steps: S1, management region determination: determining physiological data of a target patient as a target management region, dividing the target management region into sub-regions according to an equitime division mode, and sequentially numbering the sub-regions in the target management region as 1, 2,..., n; s2, information collection: providing intelligent wearable equipment for a patient, and obtaining physiological health data of the target patient through an information system of a hospital when the target patient sees a doctor; by collecting and analyzing the health data of the patient in real time, comprehensive monitoring and evaluation of the health condition of the patient are achieved, potential health risks are found in time, accurate diagnosis basis and treatment decision support are provided for doctors, and therefore the efficiency and quality of health management are improved.

Description

Technical Field

[0001] The present invention relates to the field of medical health technology, and more specifically, to a comprehensive health management method and system for medical services. Background Art

[0002] With the improvement of people's health awareness and the development of medical technology, there is a growing demand for health management, which combines advanced science and technology with medical knowledge to provide personalized health plans and programs to promote people's health and well-being. Therefore, it is necessary to develop an integrated health management system to improve the quality and efficiency of medical services.

[0003] Traditional comprehensive health management methods include health information collection, health risk assessment, and assessment generation; health information collection is used to enter and manage patients' basic information, medical history, and diagnostic results, providing comprehensive data support for subsequent assessments and interventions; health risk assessment production will conduct a comprehensive assessment of the patient's health status and provide a reference for subsequent medical services; assessment generation allows individuals to clearly understand their own health risks so that targeted intervention measures can be taken, and it also provides a basis for formulating personalized health management plans.

[0004] However, in actual use, it still has some shortcomings, such as scattered information. Traditional health management mostly relies on patients to go to the hospital for regular check-ups. There is a lack of real-time monitoring of changes in health indicators in patients' daily lives, and potential health risks cannot be discovered in time, resulting in incomplete and scattered information; inaccurate information. Traditional health management methods only rely on superficial phenomena to evaluate patients and lack in-depth evaluation; insufficient personalized services. Traditional health management methods rely on a unified method to evaluate the health status of patients. They are unable to make personal judgments on the health status of patients and lack personalized services.

[0005] Therefore, there is an urgent need to provide a comprehensive health management method and system for medical services to solve the existing problems of scattered information, fragmented information, and insufficient personalized services. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a comprehensive health management method and system for medical services, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: a comprehensive health management method and system for medical services, comprising:

[0008] S1. Determine the management area, determine the target patient's physiological data as the target management area, and divide it into sub-areas according to the equal time division method, and number each sub-area in the target management area as 1, 2, ..., n in sequence;

[0009] S2, information collection, equipping patients with smart wearable devices, and obtaining the target patient’s physiological health data through the hospital’s information system when the target patient visits the hospital;

[0010] S3, data processing, processing the physiological health data obtained in S2 to obtain the basic physiological health data influence coefficient, body composition data influence coefficient, metabolic index data influence coefficient, and transmit them to the data analysis step;

[0011] S4, data analysis, importing the basic physiological health data influence coefficient value, body composition data influence coefficient value and metabolic index data influence coefficient value obtained in S3 into the physiological health rationality index mathematical model to obtain the physiological health rationality index value, and transmitting it to the health status judgment step;

[0012] S5, health status judgment, comparing the physiological health rationality index value obtained in S4 with multiple preset physiological health rationality index values, calculating the minimum value of the difference between the physiological health rationality index value and the preset physiological health rationality index value, when the difference value is less than the preset difference value, transmitting the judgment result and the physiological health rationality index to the human-computer interaction step, when the difference value is greater than the preset difference value, transmitting the physiological health rationality index to the health management step;

[0013] S6, health management, based on the physiological health rationality index obtained in S5, formulates a personalized health management plan for the patient, including suggestions on diet, exercise, and medication, and provides the patient with appropriate medication services and treatment plans, and transmits this data to the human-computer interaction step;

[0014] S7, human-computer interaction, transmits the judgment results obtained in S5 and S6, physiological health data, medication services and treatment plans to the user information terminal, and provides reference data for patients and doctors to make adjustment measures.

[0015] Preferably, the physiological health data includes basic physiological health data influencing parameters, body composition data influencing parameters, and metabolic index data influencing parameters.

[0016] Preferably, the parameters affecting physiological health data include body temperature, denoted as T, heart rate, denoted as H, and blood pressure, denoted as B; the parameters affecting body composition data include body fat percentage, denoted as F; muscle mass, denoted as M; bone density, denoted as D; the parameters affecting metabolic index data include blood sugar content, denoted as G; blood lipid content, denoted as L; and basal metabolic rate, denoted as R.

[0017] Preferably, the data processing step includes a step of calculating an influence coefficient of basic physiological health data, a step of calculating an influence coefficient of body composition data, and a step of calculating an influence coefficient of metabolic index data.

[0018] Preferably, the basic physiological health data influence coefficient calculation step is used to import the basic physiological health data influence parameters into the basic physiological health data influence coefficient mathematical model to obtain the basic physiological health data influence coefficient value; the body composition data influence coefficient calculation step is used to import the body composition data influence parameters into the body composition data influence coefficient mathematical model to obtain the body composition data influence coefficient value; the metabolic index data influence coefficient calculation step is used to import the metabolic index data influence parameters into the metabolic index data influence coefficient mathematical model to obtain the metabolic index data influence coefficient value.

[0019] Preferably, the mathematical model of the influence coefficient of basic physiological health data is specifically:

[0020]

[0021] The mathematical model of the influence coefficient of body composition data is as follows:

[0022]

[0023] The specific mathematical model of the influence coefficient of metabolic index data is:

[0024]

[0025] Where T i represents the body temperature in the i-th time period, T i-1 represents the body temperature in the i-1th time period, T i+1 represents the body temperature in the i+1th time period, represents the average body temperature, H i represents the heart rate in the i-th time period, H i-1 represents the heart rate in the i-1th time period, H i+1 represents the heart rate in the i+1th time period, represents the average heart rate, B i represents the blood pressure in the i-th time period, B i-1 represents the blood pressure in the i-1th time period, B i+1 represents the blood pressure in the i+1th time period, Indicates average body temperature; Indicates the standard body fat percentage. Indicates standard muscle mass, represents the standard bone density, Indicates the standard basal metabolic rate.

[0026] Preferably, the physiological health rationality index mathematical model is specifically:

[0027]

[0028] Preferably, a comprehensive health management system for medical services comprises:

[0029] Management area determination module: used to determine the target patient's physiological data as the target management area, and divide it into sub-areas according to the equal time division method, and number each sub-area in the target management area as 1, 2, ..., n in sequence;

[0030] Information collection module: used to equip patients with smart wearable devices and obtain the physiological health data of target patients through the hospital's information system when the target patients visit the hospital:

[0031] Data processing module: used to process the physiological health data obtained by the information collection module to obtain the basic physiological health data influence coefficient, body composition data influence coefficient, metabolic index data influence coefficient, and transmit them to the data analysis module;

[0032] Data analysis module: used to import the basic physiological health data influence coefficient value, body composition data influence coefficient value and metabolic index data influence coefficient value obtained in the data processing module into the physiological health rationality index mathematical model, obtain the physiological health rationality index value, and transmit it to the health status judgment module;

[0033] Health status judgment module: used to compare the physiological health rationality index value obtained by the health status judgment module with multiple preset physiological health rationality index values, calculate the minimum value of the difference between the physiological health rationality index value and the preset physiological health rationality index value, and when the difference value is less than the preset difference value, transmit the judgment result and the physiological health rationality index to the human-computer interaction module; when the difference value is greater than the preset difference value, transmit the physiological health rationality index to the health management module;

[0034] Health management module: used to formulate personalized health management plans for patients based on the physiological health rationality index obtained by the health status judgment module and the patient's requirements, including suggestions on diet, exercise, and medication, and provide patients with appropriate medication service resources and treatment plans, and transmit this data to the human-computer interaction module:

[0035] Human-computer interaction module: used to transmit the judgment results, physiological health data, medication services and treatment plans obtained by the health status judgment module and the health management module to the user information terminal, and provide reference data for patients and doctors to make adjustment measures.

[0036] Technical effects and advantages of the present invention:

[0037] 1. The present invention realizes comprehensive monitoring and evaluation of the patient's health status by real-time collection and analysis of the patient's health data, timely discovers potential health risks, and provides doctors with accurate diagnosis basis and treatment decision support, thereby improving the efficiency and quality of health management;

[0038] 2. The present invention uses basic physiological health data, body composition data, and metabolic index data to judge the physical health status of the target patient in multiple aspects, making the diagnosis more accurate;

[0039] 3. The present invention formulates personalized health management plans and medical service recommendations for patients based on their individual differences and needs, meets their special needs, and improves the pertinence and effectiveness of health management. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0041] Figure 2 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] As attached Figure 1 A comprehensive health management method for medical services shown includes S1, management area determination, S2, information collection, S3, data processing, S4, data analysis, S5, health status judgment, S6, health management, S7, human-computer interaction;

[0044] S1. Determine the management area. Determine the target patient's physiological data as the target management area, and divide it into sub-areas according to an equal time division method. Number each sub-area in the target management area as 1, 2, ..., n in sequence.

[0045] S2. Information collection: Equip patients with smart wearable devices and obtain the target patient’s physiological health data through the hospital’s information system when the target patient visits the hospital.

[0046] In this embodiment, it should be specifically explained that the physiological health data includes basic physiological health data influencing parameters, body composition data influencing parameters, and metabolic index data influencing parameters.

[0047] In this embodiment, it should be specifically explained that the parameters affecting physiological health data include body temperature, denoted as T, heart rate, denoted as H, and blood pressure, denoted as B; the parameters affecting body composition data include body fat percentage, denoted as F; muscle mass, denoted as M; bone density, denoted as D; the parameters affecting metabolic index data include blood sugar content, denoted as G; blood lipid content, denoted as L; and basal metabolic rate, denoted as R.

[0048] S3, data processing, processing the physiological health data obtained in S2 to obtain the basic physiological health data influence coefficient, body composition data influence coefficient, metabolic index data influence coefficient, and transmit them to the data analysis step.

[0049] In this embodiment, it should be specifically explained that the data processing steps include a basic physiological health data influence coefficient calculation step, a body composition data influence coefficient calculation step, and a metabolic index data influence coefficient calculation step.

[0050] In this embodiment, it is specifically necessary to explain that the basic physiological health data influence coefficient calculation step is used to import the basic physiological health data influence parameters into the basic physiological health data influence coefficient mathematical model to obtain the basic physiological health data influence coefficient value; the body composition data influence coefficient calculation step is used to import the body composition data influence parameters into the body composition data influence coefficient mathematical model to obtain the body composition data influence coefficient value; the metabolic index data influence coefficient calculation step is used to import the metabolic index data influence parameters into the metabolic index data influence coefficient mathematical model to obtain the metabolic index data influence coefficient value.

[0051] In this embodiment, it should be specifically explained that the mathematical model of the influence coefficient of basic physiological health data is specifically:

[0052]

[0053] The mathematical model of the influence coefficient of body composition data is as follows:

[0054]

[0055] The specific mathematical model of the influence coefficient of metabolic index data is:

[0056]

[0057] Where T i represents the body temperature in the i-th time period, T i-1 represents the body temperature in the i-1th time period, T i+1 represents the body temperature in the i+1th time period, represents the average body temperature, H i represents the heart rate in the i-th time period, H i-1represents the heart rate in the i-1th time period, H i+1 represents the heart rate in the i+1th time period, represents the average heart rate, B i represents the blood pressure in the i-th time period, B i-1 represents the blood pressure in the i-1th time period, B i+1 represents the blood pressure in the i+1th time period, Indicates average body temperature; Indicates the standard body fat percentage. Indicates standard muscle mass, represents the standard bone density, Indicates the standard basal metabolic rate.

[0058] S4, data analysis, importing the basic physiological health data influence coefficient value, body composition data influence coefficient value and metabolic index data influence coefficient value obtained in S3 into the physiological health rationality index mathematical model, obtaining the physiological health rationality index value, and transmitting it to the health status judgment step.

[0059] In this embodiment, it should be specifically explained that the mathematical model of the physiological health rationality index is specifically:

[0060]

[0061] S5. Health status judgment: compare the physiological health rationality index value obtained in S4 with multiple preset physiological health rationality index values, calculate the minimum value of the difference between the physiological health rationality index value and the preset physiological health rationality index value, and when the difference value is less than the preset difference value, send the judgment result and the physiological health rationality index to the human-computer interaction step; when the difference value is greater than the preset difference value, send the physiological health rationality index to the health management step.

[0062] In this embodiment, it is specifically necessary to explain that the multiple preset physiological health rationality index values ​​are the average values ​​of the physiological health rationality index values ​​of different physical health conditions in history, and the preset difference value is the minimum value of the difference between the physiological health rationality index value and the average value of the physiological health rationality index values ​​of different physical health conditions in history.

[0063] S6, health management, based on the physiological health rationality index obtained in S5, develops a personalized health management plan for the patient, including recommendations on diet, exercise, and medication, and provides the patient with appropriate medication services and treatment plans, and transmits this data to the human-computer interaction step.

[0064] S7, human-computer interaction, transmits the judgment results obtained in S5 and S6, physiological health data, medication services and treatment plans to the user information terminal, and provides reference data for patients and doctors to make adjustment measures.

[0065] As attached Figure 2 As shown, it is an overall system diagram of a comprehensive health management system for medical services. The system specifically includes: a management area determination module, an information collection module, a data processing module, a data analysis module, a health status judgment module, a health management module, and a human-computer interaction module.

[0066] The management area determination module is used to determine the target patient's physiological data as the target management area, and divide it into sub-areas according to an equal time division method, and number each sub-area in the target management area as 1, 2, ..., n in sequence.

[0067] The information collection module is used to equip patients with smart wearable devices and obtain the target patient's physiological health data through the hospital's information system when the target patient visits the hospital.

[0068] The data processing module is used to process the physiological health data obtained by the information collection module to obtain the basic physiological health data influence coefficient, the body composition data influence coefficient, and the metabolic index data influence coefficient, and transmit them to the data analysis module.

[0069] The data analysis module is used to import the basic physiological health data influence coefficient value, body composition data influence coefficient value and metabolic index data influence coefficient value obtained in the data processing module into the physiological health rationality index mathematical model, obtain the physiological health rationality index value, and transmit it to the health status judgment module.

[0070] The health status judgment module is used to compare the physiological health rationality index value obtained by the health status judgment module with multiple preset physiological health rationality index values, calculate the minimum value of the difference between the physiological health rationality index value and the preset physiological health rationality index value, and when the difference value is less than the preset difference value, transmit the judgment result and the physiological health rationality index to the human-computer interaction module; when the difference value is greater than the preset difference value, transmit the physiological health rationality index to the health management module.

[0071] The health management module is used to develop personalized health management plans for patients based on the physiological health rationality index obtained by the health status judgment module and the patient's requirements, including recommendations on diet, exercise, and medication, and provide patients with appropriate medication service resources and treatment plans, and transmit this data to the human-computer interaction module.

[0072] The human-computer interaction module is used to transmit the judgment results, physiological health data, medication services and treatment plans obtained by the health status judgment module and the health management module to the user information terminal, providing reference data for patients and doctors to make adjustment measures.

[0073] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0074] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A comprehensive health management method for medical services, characterized in that: include: S1. Determine the management area, determine the target patient's physiological data as the target management area, and divide it into sub-areas according to the equal time division method, and number each sub-area in the target management area as 1, 2, ..., n in sequence; S2, information collection, equipping patients with smart wearable devices, and obtaining the target patient’s physiological health data through the hospital’s information system when the target patient visits the hospital; S3, data processing, processing the physiological health data obtained in S2 to obtain the basic physiological health data influence coefficient, body composition data influence coefficient, metabolic index data influence coefficient, and transmit them to the data analysis step; S4, data analysis, importing the basic physiological health data influence coefficient value, body composition data influence coefficient value and metabolic index data influence coefficient value obtained in S3 into the physiological health rationality index mathematical model to obtain the physiological health rationality index value, and transmitting it to the health status judgment step; S5, health status judgment, comparing the physiological health rationality index value obtained in S4 with multiple preset physiological health rationality index values, calculating the minimum value of the difference between the physiological health rationality index value and the preset physiological health rationality index value, when the difference value is less than the preset difference value, transmitting the judgment result and the physiological health rationality index to the human-computer interaction step, when the difference value is greater than the preset difference value, transmitting the physiological health rationality index to the health management step; S6, health management, based on the physiological health rationality index obtained in S5, formulates a personalized health management plan for the patient, including suggestions on diet, exercise, and medication, and provides the patient with appropriate medication services and treatment plans, and transmits this data to the human-computer interaction step; S7, human-computer interaction, transmits the judgment results obtained in S5 and S6, physiological health data, medication services and treatment plans to the user information terminal, and provides reference data for patients and doctors to make adjustment measures.

2. A comprehensive health management method for medical services according to claim 1, characterized in that: The physiological health data includes basic physiological health data influencing parameters, body composition data influencing parameters, and metabolic index data influencing parameters.

3. A comprehensive health management method for medical services according to claim 2, characterized in that: The parameters affecting physiological health data include body temperature, denoted as T, heart rate, denoted as H, and blood pressure, denoted as B; the parameters affecting body composition data include body fat percentage, denoted as F; muscle mass, denoted as M; bone density, denoted as D; the parameters affecting metabolic index data include blood sugar content, denoted as G; blood lipid content, denoted as L; and basal metabolic rate, denoted as R.

4. A comprehensive health management method for medical services according to claim 1, characterized in that: The data processing step includes a basic physiological health data influence coefficient calculation step, a body composition data influence coefficient calculation step, and a metabolic index data influence coefficient calculation step.

5. A comprehensive health management method for medical services according to claim 4, characterized in that: The basic physiological health data influence coefficient calculation step is used to import the basic physiological health data influence parameters into the basic physiological health data influence coefficient mathematical model to obtain the basic physiological health data influence coefficient value; the body composition data influence coefficient calculation step is used to import the body composition data influence parameters into the body composition data influence coefficient mathematical model to obtain the body composition data influence coefficient value; the metabolic index data influence coefficient calculation step is used to import the metabolic index data influence parameters into the metabolic index data influence coefficient mathematical model to obtain the metabolic index data influence coefficient value.

6. A comprehensive health management method for medical services according to claim 5, characterized in that: The mathematical model of the influence coefficient of basic physiological health data is specifically: The mathematical model of the influence coefficient of body composition data is as follows: The specific mathematical model of the influence coefficient of metabolic index data is: Where T i represents the body temperature in the i-th time period, T i-1 represents the body temperature in the i-1th time period, T i+1 represents the body temperature in the i+1th time period, represents the average body temperature, H i represents the heart rate in the i-th time period, H i-1 represents the heart rate in the i-1th time period, H i+1 represents the heart rate in the i+1th time period, represents the average heart rate, B i represents the blood pressure in the i-th time period, B i-1 represents the blood pressure in the i-1th time period, B i+1 represents the blood pressure in the i+1th time period, Indicates average body temperature; Indicates the standard body fat percentage. Indicates standard muscle mass, represents the standard bone density, Indicates the standard basal metabolic rate.

7. A comprehensive health management method for medical services according to claim 1, characterized in that: The mathematical model of the physiological health rationality index is specifically:

8. An integrated health management system for medical services, used to implement the integrated health management method for medical services of any one of claims 1 to 7, characterized in that: include: Management area determination module: used to determine the target patient's physiological data as the target management area, and divide it into sub-areas according to the equal time division method, and number each sub-area in the target management area as 1, 2, ..., n in sequence; Information collection module: used to equip patients with smart wearable devices and obtain the physiological health data of target patients through the hospital's information system when the target patients visit the hospital: Data processing module: used to process the physiological health data obtained by the information collection module to obtain the basic physiological health data influence coefficient, body composition data influence coefficient, metabolic index data influence coefficient, and transmit them to the data analysis module; Data analysis module: used to import the basic physiological health data influence coefficient value, body composition data influence coefficient value and metabolic index data influence coefficient value obtained in the data processing module into the physiological health rationality index mathematical model, obtain the physiological health rationality index value, and transmit it to the health status judgment module; Health status judgment module: used to compare the physiological health rationality index value obtained by the health status judgment module with multiple preset physiological health rationality index values, calculate the minimum value of the difference between the physiological health rationality index value and the preset physiological health rationality index value, and when the difference value is less than the preset difference value, transmit the judgment result and the physiological health rationality index to the human-computer interaction module; when the difference value is greater than the preset difference value, transmit the physiological health rationality index to the health management module; Health management module: used to formulate personalized health management plans for patients based on the physiological health rationality index obtained by the health status judgment module and the patient's requirements, including suggestions on diet, exercise, and medication, and provide patients with appropriate medication service resources and treatment plans, and transmit this data to the human-computer interaction module: Human-computer interaction module: used to transmit the judgment results, physiological health data, medication services and treatment plans obtained by the health status judgment module and the health management module to the user information terminal, and provide reference data for patients and doctors to make adjustment measures.

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