CN110689959A - Medical health management method and device - Google Patents
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Abstract
The invention discloses a method and a device for medical health management. The method is used in a client and comprises the following steps: acquiring real-time medical data generated in the detection process of a medical instrument, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data; the acquired real-time medical data are sent to a cloud server side, so that the cloud server side can conveniently carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data; receiving an insurance evaluation result generated by a cloud server side; and determining insurance rates corresponding to the health states of the users and claims thereof according to insurance evaluation results. The real-time medical data are sent to a cloud server through a client, and insurance rates and settlement claims corresponding to the health state of the user are determined based on insurance evaluation results of the cloud server; therefore, economic guarantee can be provided for diseases of the user, and a foundation is further provided for ordinary people to intervene in personal health management.
Description
Technical Field
The invention relates to the technical field of medical health, in particular to a medical health management method and a medical health management device.
Background
Currently, in the management process of chronic diseases of individuals outside medical institutions, the acquisition of real-time medical data and the analysis and monitoring based on the real-time medical data are the basis for ordinary people to intervene in the personal health management. However, the existing medical data acquisition mode is single, and the use method of the medical data is not rich enough, so that an insurance company is inconvenient to evaluate the insurance rate and the claim settlement amount of the user.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for medical health management, which can monitor real-time medical data generated during a detection process of a medical instrument and historical medical data corresponding to the real-time medical data, and determine an insurance rate and a claim thereof corresponding to a health status of a user, thereby providing economic guarantees for diseases of the user, and further providing a basis for ordinary people to intervene in personal health management.
In order to achieve the above object, according to a first aspect of the embodiments of the present invention, there is provided a method for medical health management, which is used in a client, the method including: acquiring real-time medical data generated in the detection process of a medical instrument, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data; the acquired real-time medical data are sent to a cloud server side, so that the cloud server side can conveniently carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data; receiving an insurance evaluation result generated by the cloud server; and determining insurance rates corresponding to the health states of the users and claims thereof according to the insurance evaluation results.
Optionally, the acquiring real-time medical data generated in the medical instrument detection process includes: acquiring real-time source data generated in the detection process of the medical instrument; carrying out comprehensive data analysis on the acquired real-time source data to obtain analysis data; and outputting a display result corresponding to the health state of the user based on the analysis data.
Optionally, the acquiring real-time source data generated in the detection process of the medical instrument includes: responding to the access request of the medical instrument, and generating a medical instrument access interface; the medical instrument access interface comprises at least one medical instrument option; in response to selection of the medical instrument option within the medical instrument access interface, performing a detection operation corresponding to the medical instrument, generating real-time source data.
Optionally, after performing comprehensive data analysis on the acquired real-time source data to obtain analysis data, the method further includes: sending the acquired real-time source data and the analysis data to a cloud server so that the cloud server can perform early warning evaluation on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data; receiving early warning evaluation data generated by the cloud server; and outputting an early warning display result corresponding to the health state of the user based on the early warning evaluation data.
Optionally, after the acquired real-time source data is subjected to comprehensive data analysis to obtain analysis data, the method further comprises the steps of sending the acquired real-time source data and the analysis data to a cloud server end, so that the cloud server end sends the real-time source data and the corresponding historical source data thereof, the analysis data and the corresponding historical analysis data thereof to a remote doctor to diagnose the health state of the user; receiving diagnostic data generated by the cloud server; and outputting a diagnosis display result corresponding to the health state of the user based on the diagnosis data.
In order to achieve the above object, according to a second aspect of the embodiments of the present invention, there is also provided a method for medical health management, used on a cloud server side, including: receiving real-time medical data sent by a client, wherein the real-time medical data at least comprises one of real-time source data, analysis data, early warning evaluation data and diagnosis data; acquiring historical medical data corresponding to the real-time medical data based on the real-time medical data; performing insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result; and sending the insurance evaluation result to the client.
Optionally, the receiving real-time medical data sent by the client includes: receiving real-time source data and analysis data sent by a client; acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data; according to the real-time source data, the historical source data, the analysis data and the historical analysis data, carrying out early warning evaluation on the health state of the user to generate early warning evaluation data; and sending the early warning evaluation data to the client.
Optionally, the receiving the real-time medical data sent by the client further includes: receiving real-time source data and analysis data sent by a client; acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data; according to the real-time source data, the historical source data, the analysis data and the historical analysis data, performing remote doctor diagnosis on the health state of the user to generate diagnosis data; and sending the diagnosis data to the client.
To achieve the above object, according to a third aspect of the embodiments of the present invention, there is also provided a method for medical health management, the method including: the method comprises the steps that a client side obtains real-time medical data generated in the detection process of a medical instrument and sends the real-time medical data to a cloud server side, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data; the cloud server receives the real-time medical data and acquires historical medical data corresponding to the real-time medical data; the cloud server side carries out insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result, and the insurance evaluation result is sent to the client side; and the client receives the insurance evaluation result and determines insurance rates and settlement thereof corresponding to the health state of the user according to the insurance evaluation result.
In order to achieve the above object, according to a fourth aspect of the embodiments of the present invention, there is provided a medical health management apparatus for use in a client, the apparatus including: the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring real-time medical data generated in the detection process of a medical instrument, and the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data; the sending module is used for sending the acquired real-time medical data to a cloud server so that the cloud server can carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data; the receiving module is used for receiving an insurance evaluation result generated by the cloud server side; and the insurance claim settlement module is used for determining insurance rates corresponding to the health state of the user and claim settlement thereof according to the insurance evaluation result.
In order to achieve the above object, according to a fifth aspect of the embodiments of the present invention, there is further provided a medical health management apparatus for use on a cloud server side, the apparatus including: the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving real-time medical data sent by a client, and the real-time medical data at least comprises one of real-time source data, analysis data, early warning evaluation data and diagnosis data; the acquisition module is used for acquiring historical medical data corresponding to the real-time medical data based on the real-time medical data; the insurance evaluation module is used for carrying out insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result; and the sending module is used for sending the insurance evaluation result to the client.
To achieve the above object, according to a sixth aspect of an embodiment of the present invention, there is also provided an apparatus for medical health management, the apparatus including: the system comprises a client and a cloud server connected with the client. The client comprises the medical health management device according to the fourth aspect, and the cloud server comprises the medical health management device according to the fifth aspect.
To achieve the above object, according to a seventh aspect of the embodiments of the present invention, there is also provided an electronic device including one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method of medical health management according to the first aspect.
To achieve the above object, according to an eighth aspect of the embodiments of the present invention, there is also provided a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the method for medical health management according to the first aspect.
The above embodiments have at least the following advantages or benefits: the method comprises the steps that real-time medical data generated in the medical instrument detection process are obtained through a client, the real-time medical data are sent to a cloud server side, insurance evaluation is conducted on the health state of a user by the cloud server side based on the real-time medical data and historical medical data corresponding to the real-time medical data, and insurance rates and benefits corresponding to the health state of the user are determined by the client based on insurance evaluation results; therefore, insurance evaluation can be conveniently carried out on the user, economic guarantee is provided for diseases of the user, and a foundation is further provided for ordinary people to intervene in personal health management.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
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The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein: in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
FIG. 1 is a flow chart of one embodiment of a method of medical health management of the present invention;
FIG. 2 is a flow chart of another embodiment of a method of medical health management of the present invention;
FIG. 3 is a flow chart of yet another embodiment of a method of medical health management of the present invention;
FIG. 4 is a schematic view of an embodiment of a health management apparatus of the present invention;
FIG. 5 is a schematic view of another embodiment of a health management device of the present invention;
FIG. 6 is a schematic view of yet another embodiment of a health management device according to the present invention;
FIG. 7 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 8 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The embodiment of the invention aims to determine the insurance rate and the claim thereof corresponding to the health state of the user by carrying out insurance evaluation on the real-time medical data generated in the detection process of the medical instrument and the corresponding historical medical data, thereby providing economic guarantee for the diseases of the user and further providing a foundation for the intervention of ordinary people in personal health management.
Common personal real-time medical data comprise a plurality of items of real-time medical data such as electrocardiogram, heart rate value, blood pressure value, blood sugar value, height, weight, waist circumference, blood oxygen value, respiration and the like. Due to the fact that the medical equipment or instruments are used at present, many uncertain factors and emergencies such as time, frequency, places, users, detection duration, equipment types and the like exist, personal health management cannot be smoothly promoted.
According to market research and literature data, the current personal health medical technology or products are mainly single-function medical products, such as individual blood pressure meters, blood glucose meters, heart rate meters, weight scales and the like, and the medical products collect single data. Due to the single function, a plurality of medical products need to be configured to meet the medical monitoring requirement. In addition, when the key real-time medical data of the user is managed and analyzed, only single data can be adopted to analyze a certain state of an illness, and the condition of the patient is delayed because enough real-time medical data does not exist for accurately diagnosing the user.
FIG. 1 is a flow chart of one embodiment of a method for medical health management according to the present invention; the method 100 is used in a client, and comprises the following steps: s101: the method comprises the steps of obtaining real-time medical data generated in the detection process of the medical instrument, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data, diagnosis data and the like.
Illustratively, the client generates a medical instrument access interface in response to the access request of the medical instrument; the medical instrument access interface comprises at least one medical instrument option; in response to selection of the medical instrument option within the medical instrument access interface, performing a detection operation corresponding to the medical instrument, generating real-time source data. The detection operation refers to the state of starting, detecting and closing the medical instrument by triggering the client. And the client performs comprehensive data analysis on the acquired real-time source data to obtain analysis data. And the cloud server end carries out early warning evaluation on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data to obtain early warning evaluation data. And the cloud server end carries out remote doctor diagnosis on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data to obtain diagnosis data.
The history source data comprises history physical examination data which is not obtained from the medical instrument accessed by the client and other history data which is obtained from the medical instrument accessed by the client; the historical physical examination data refers to physical examination data which is input to the client and stored at the cloud server side by a user, or physical examination data which is uploaded to the cloud server side by an associated hospital.
It should be understood that the medical instrument herein refers to a medical instrument commonly used in medical institutions such as an electrocardiograph, a sphygmomanometer, a blood glucose meter, an oximeter, a weight and body fat scale, a cardiotachometer, a respirator, etc. The medical instrument and the client may be wired or wireless. The real-time medical data may be medical data generated during one medical instrument testing procedure or a sum of real-time medical data generated during multiple medical instrument testing procedures.
S102: and sending the acquired real-time medical data to a cloud server so that the cloud server can conveniently carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data.
Illustratively, the historical medical data is stored at the cloud server, and the historical medical data comprises at least one of historical source data corresponding to the real-time source data, historical analysis data corresponding to the analysis data, historical early warning evaluation data corresponding to the early warning evaluation data, historical diagnosis data corresponding to the diagnosis data and the like. Insurance evaluation starts from multiple directions, such as the type of disease, the course of the disease, and the severity of the disease.
S103: and receiving an insurance evaluation result generated by the cloud server.
Specifically, the client responds to a request of insurance evaluation and sends the acquired real-time medical data to the cloud server so that the cloud server can conveniently perform insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data; and the client receives an insurance evaluation result generated by the cloud server.
S104: and determining insurance rates corresponding to the health states of the users and claims thereof according to the insurance evaluation results.
Illustratively, the client receives insurance evaluation results of the cloud server and sends the insurance evaluation results to insurance companies, and the insurance companies quickly calculate insurance rates and settlement claims of various insurance types according to the insurance evaluation results and send calculation results to the client; the client displays insurance rates of purchasable insurance corresponding to the health status of the user and settlement payment corresponding to the purchased insurance.
Specifically, for a female, the age of 25 years, insurance evaluation results show that the user has no serious diseases, and health medical risks corresponding to the health state of the user are determined according to the insurance evaluation results. And calculating the insurance rate of 921 yuan/year according to the insurance evaluation result, wherein the settlement payment corresponding to the insurance rate can guarantee that the settlement amount does not exceed 100 ten thousand yuan for treatment, hospitalization and the like. Female, age 40, insurance assessment results show that the user has type ii diabetes, the course of the disease is 1 year, and blood glucose levels are well controlled in the past year; and determining health medical risk corresponding to the health state of the user according to the insurance evaluation result. And calculating the insurance rate to be 1723 Yuan/year according to the insurance evaluation result, wherein the claim payment corresponding to the insurance rate can ensure that the claim amount does not exceed 100 Ten thousand Yuan for medical treatment, hospitalization and the like, and if the insurance period data shows that the blood sugar value abnormal accumulation date exceeds 45 days, the claim amount is 75 percent of the actual occurrence amount each time.
It should be understood that the real-time source data generated in the medical instrument detection process herein refers to data with a uniform standard format after being subjected to format conversion processing. The purpose of carrying out format conversion processing on the data is to avoid that other steps or modules cannot identify and process the data due to different formats of real-time source data generated in the detection process of different medical instruments.
The prior art integrated configuration technology or product integrates multiple medical instruments into one device, thereby providing the integrated configuration product with multiple functions. However, the functions of such integrated configuration products cannot be matched according to the difference of the user's needs, for example, the integrated configuration products integrate the functions of medical instruments commonly used outside medical institutions such as an electrocardiograph, a sphygmomanometer, a blood glucose meter, an oximeter, a weight and body fat scale, a heart rate meter, a respirator and the like, but the user only needs to measure the electrocardiogram and the blood pressure value. Therefore, the resource waste is inevitable. In addition, data analysis of detection results of integrated configuration type products seriously depends on the smoothness degree of a network, and has larger medical risk; the integrated configuration product also has the defects of large volume, heavy weight, inconvenience for use at any time and the like; integrated configured products or technologies are therefore generally only suitable for use in medical institutions and communities.
Specifically, insurance evaluation is carried out on the basis of real-time medical data generated in the detection process of medical instruments of a sphygmomanometer and a blood glucose meter and historical medical data corresponding to the real-time medical data, and an insurance evaluation result is generated; the real-time medical data includes real-time medical data generated during the blood pressure meter test and real-time medical data generated during the blood glucose meter test. The real-time medical data generated in the detection process of the sphygmomanometer comprises real-time source data, analysis data and early warning evaluation data. The real-time medical data generated in the detection process of the glucometer comprises real-time source data, analysis data, early warning evaluation data and diagnosis data. Here, the historical medical data is historical data corresponding to each item of the real-time medical data.
Therefore, the embodiment of the invention enables a user to independently combine any medical instrument according to the disease condition monitoring requirement, the personal existing instrument, the operation and use habit, the instrument quality, the use occasion, the user personnel and the like by using the interfaces of the modularized medical instruments at the client, so as to meet the personal requirement and reduce the purchase cost of the medical instrument; therefore, the user can use one or more medical instruments to perform detection anytime and anywhere, and the user can obtain autonomous detection when the disease occurs.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and the inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an alternative embodiment, the acquiring real-time medical data generated during the detection process of the medical instrument includes: acquiring real-time source data generated in the detection process of the medical instrument; carrying out comprehensive data analysis on the acquired real-time source data to obtain analysis data; and outputting a display result corresponding to the health state of the user based on the analysis data.
Illustratively, the client responds to a request of data analysis, and performs comprehensive data analysis on the acquired real-time source data to obtain analysis data; and outputting a display result corresponding to the health state of the user based on the analysis data so as to display the current health state of the user.
It should be appreciated that the client-side comprehensive data analysis of the real-time source data can be performed in an offline state, independent of the degree of network patency.
Therefore, the embodiment of the invention can obtain the analysis data by carrying out comprehensive data analysis on the acquired real-time source data in an off-line state; therefore, basic diagnosis data can be obtained when the network is not smooth, basic guarantee is provided for the life of a user, and a foundation is further provided for ordinary people to intervene in personal health management.
In an optional embodiment, after the comprehensive data analysis is performed on the acquired real-time source data to obtain analysis data, the method further comprises the steps of sending the acquired real-time source data and the analysis data to a cloud server end so that the cloud server end can send the real-time source data and the corresponding historical source data thereof, the analysis data and the corresponding historical analysis data thereof to a remote doctor to diagnose the health state of the user; receiving diagnostic data generated by the cloud server; and outputting a diagnosis display result corresponding to the health state of the user based on the diagnosis data.
Illustratively, the client side responds to a request of remote doctor diagnosis and sends real-time source data and analysis data to the cloud server side, so that the cloud server side can send the real-time source data and historical source data corresponding to the real-time source data, the analysis data and historical analysis data corresponding to the analysis data to the remote doctor to diagnose the health state of the user; receiving diagnostic data generated by the cloud server, wherein the diagnostic data is diagnostic data; and outputting a diagnosis display result corresponding to the health state of the user based on the diagnosis data so as to display the historical health state of the user.
Therefore, the embodiment of the invention combines the real-time source data, the historical source data, the analysis data and the historical analysis data in an online state to carry out remote doctor diagnosis, and determines the health state of the user; therefore, accurate medical intervention can be provided for the user according to the integrated medical data, the slow disease detection of the user is realized, and a foundation is further provided for ordinary people to intervene in medical health management and perfect the out-of-hospital health management of the whole life cycle.
In an optional embodiment, after performing comprehensive data analysis on the acquired real-time source data to obtain analysis data, the method further includes: sending the acquired real-time source data and the analysis data to a cloud server so that the cloud server can perform early warning evaluation on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data; receiving early warning evaluation data generated by the cloud server; and outputting an early warning display result corresponding to the health state of the user based on the early warning evaluation data.
Illustratively, the client responds to a request of early warning evaluation, and sends acquired real-time source data, analysis data and diagnosis data to the cloud server so that the cloud server can perform early warning evaluation on the health state of a user according to the real-time source data and historical source data corresponding to the real-time source data, the analysis data and historical analysis data corresponding to the analysis data, and the diagnosis data and historical diagnosis data corresponding to the diagnosis data; and receiving the early warning evaluation data generated by the cloud server, and outputting an early warning display result corresponding to the health state of the user so as to display the future health state of the user.
Therefore, the health state of the user is determined by early warning and evaluation of the integrated medical data in an online state; therefore, accurate early warning evaluation can be carried out on the diseases of the user by combining the medical history of the user, and a foundation is provided for ordinary people to intervene in medical health management.
It should be noted that according to the user usage requirements, the embodiment of the present invention may selectively perform one or more of the steps of comprehensive data analysis, early warning evaluation, or remote doctor diagnosis, and display the obtained results to implement monitoring of the health status of the user.
FIG. 2 is a flow chart of another embodiment of a method of medical health management of the present invention; the method 200 is applied to a cloud server side, and comprises the following steps:
s201: receiving real-time medical data sent by the client, wherein the real-time medical data at least comprises one of real-time source data, analysis data, early warning evaluation data and diagnosis data;
s202: acquiring historical medical data corresponding to the real-time medical data based on the real-time medical data;
s203: performing insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result;
s204: and sending the insurance evaluation result to the client.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and the inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an optional embodiment, the receiving the real-time medical data sent by the client includes: receiving real-time source data and analysis data sent by a client; acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data; according to the real-time source data, the historical source data, the analysis data and the historical analysis data, carrying out early warning evaluation on the health state of the user to generate early warning evaluation data; and sending the early warning evaluation data to the client.
In an optional embodiment, the receiving the real-time medical data sent by the client further includes: receiving real-time source data and analysis data sent by a client; acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data; according to the real-time source data, the historical source data, the analysis data and the historical analysis data, performing remote doctor diagnosis on the health state of the user to generate diagnosis data; and sending the diagnosis data to the client.
Therefore, the embodiment of the invention combines the real-time source data, the historical source data, the analysis data and the historical analysis data when being on line, so that a doctor can provide accurate medical intervention, early warning evaluation and insurance evaluation for a user according to the integrated medical data; therefore, the insurance rate and the claim settlement thereof are determined based on the insurance evaluation result, and further economic guarantee is provided for the user.
FIG. 3 is a flow chart illustrating a method of medical health management according to yet another embodiment of the present invention; the method 300 includes:
s301: the method comprises the steps that a client side obtains real-time medical data generated in the detection process of a medical instrument and sends the real-time medical data to a cloud server side; wherein the real-time medical data includes at least one of real-time source data, analysis data, early warning assessment data, and diagnostic data.
Illustratively, the client generates a medical instrument access interface in response to an access request of the medical instrument; the medical instrument access interface comprises at least one medical instrument option; and the client responds to the selection of the medical instrument option in the medical instrument access interface, executes the detection operation corresponding to the medical instrument and generates real-time source data. And the client performs comprehensive data analysis on the acquired real-time source data to obtain analysis data. And the cloud server end carries out early warning evaluation on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data to obtain early warning evaluation data. And the cloud server end carries out remote doctor diagnosis on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data to obtain diagnosis data.
S302: and the cloud server receives the real-time medical data and acquires historical medical data corresponding to the real-time medical data.
Illustratively, the historical medical data is stored at the cloud server, and the historical medical data comprises at least one of historical source data corresponding to the real-time source data, historical analysis data corresponding to the analysis data, historical early warning evaluation data corresponding to the early warning evaluation data, historical diagnosis data corresponding to the diagnosis data and the like.
S303: the cloud server side carries out insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result, and sends the insurance evaluation result to the client side;
illustratively, insurance evaluation is based on a number of directions, such as the type of disease, the course of the disease, and the severity of the disease.
S304: and the client receives the insurance evaluation result and determines insurance rates and settlement thereof corresponding to the health state of the user according to the insurance evaluation result.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and the inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an optional embodiment, the obtaining, by the client, real-time medical data generated in a medical instrument detection process includes: the client acquires real-time source data generated in the detection process of the medical instrument; the client side performs comprehensive data analysis on the acquired real-time source data to obtain analysis data; and the client outputs a display result corresponding to the health state of the user based on the analysis data.
In an optional embodiment, the client performs comprehensive data analysis on the acquired real-time source data to obtain analysis data, and then sends the acquired real-time source data and the analysis data to a cloud server, and the cloud server performs early warning evaluation on the health state of the user according to the real-time source data and historical source data corresponding to the real-time source data, the analysis data and historical analysis data corresponding to the analysis data; the client receives early warning evaluation data generated by the cloud server; and outputting an early warning display result corresponding to the health state of the user based on the early warning evaluation data.
In an optional embodiment, after the client performs comprehensive data analysis on the acquired real-time source data to obtain analysis data, the method further comprises the steps that the client sends the acquired real-time source data and the analysis data to a cloud server, the cloud server sends the real-time source data and historical source data corresponding to the real-time source data, the analysis data and historical analysis data corresponding to the analysis data to a remote doctor to diagnose the health state of the user to generate diagnosis data, and the client receives the diagnosis data generated by the cloud server; and outputting a diagnosis display result corresponding to the health state of the user based on the diagnosis data.
Therefore, the embodiment of the invention adopts various modularized medical instrument interfaces, is connected with common medical instruments outside a medical institution in a wired or wireless mode, and can perform basic analysis on the acquired real-time medical data in an off-line state, thereby providing basic guarantee for the health of users; the system can also combine real-time medical data and historical medical data in an online state to perform remote doctor diagnosis, early warning evaluation and insurance evaluation on the health of the user, thereby providing accurate diagnosis and evaluation for the health of the user, determining insurance rates and settlement thereof corresponding to the health state of the user, and further providing economic guarantee for diseases of the user.
Fig. 4 is a schematic diagram of an embodiment of a device for medical health management according to the present invention. A device for medical health management in a client, the device 400 comprising: an obtaining module 401, configured to obtain real-time medical data generated in a medical instrument detection process, where the real-time medical data includes at least one of real-time source data, analysis data, early warning evaluation data, and diagnosis data; a sending module 402, configured to send the acquired real-time medical data to a cloud server, so that the cloud server performs insurance assessment on a health state of a user according to the real-time medical data and historical medical data corresponding to the real-time medical data; a receiving module 403, configured to receive an insurance evaluation result generated by the cloud server; an insurance claim settlement module 404, configured to determine, according to the insurance evaluation result, insurance rates and claim settlement corresponding to the user health status.
In an optional embodiment, the obtaining module further includes: the access unit is used for responding to the access request of the medical instrument and generating a medical instrument access interface; the medical instrument access interface comprises at least one medical instrument option; and the generating unit is used for responding to the selection of the medical instrument option in the medical instrument access interface, executing the detection operation corresponding to the medical instrument and generating real-time source data.
In an optional embodiment, the apparatus further comprises: the acquisition module is also used for acquiring real-time source data generated in the detection process of the medical instrument; the analysis module is used for carrying out comprehensive data analysis on the acquired real-time source data to obtain analysis data; and the display module is used for outputting a display result corresponding to the health state of the user based on the analysis data.
In an optional embodiment, the apparatus further comprises: the sending module is further used for sending the acquired real-time source data and the analysis data to a cloud server so that the cloud server can perform early warning evaluation on the health state of the user according to the real-time source data and the corresponding historical source data thereof, the analysis data and the corresponding historical analysis data thereof; the receiving module is further used for receiving early warning evaluation data generated by the cloud server side; and the display module is also used for outputting an early warning display result corresponding to the health state of the user based on the early warning evaluation data.
In an optional embodiment, the apparatus further comprises: the sending module is further used for sending the acquired real-time source data and the analysis data to a cloud server so that the cloud server can send the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data to a remote doctor to diagnose the health state of the user; the receiving module is further used for receiving the diagnostic data generated by the cloud server side; and the display module is also used for outputting a diagnosis display result corresponding to the health state of the user based on the diagnosis data.
Therefore, the embodiment of the invention carries out comprehensive data analysis on the real-time source data in an off-line state, can carry out real-time monitoring on the health of the user and provides basic guarantee for the health of the user; real-time medical data and historical medical data are combined when the medical data are online, so that doctors can provide accurate medical intervention, early warning evaluation and insurance evaluation for users according to the integrated medical data; and determining insurance rates and claims thereof based on insurance evaluation results, thereby providing economic guarantee for users.
Fig. 5 is a schematic view of another embodiment of a device for medical health management according to the present invention. An apparatus for medical health management is used in a cloud server, the apparatus 500 includes: a receiving module 501, configured to receive real-time medical data sent by the client; wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning assessment data, and diagnostic data; an obtaining module 502, configured to obtain historical medical data corresponding to the real-time medical data based on the real-time medical data; the insurance evaluation module 503 is configured to perform insurance evaluation on the health status of the user according to the real-time medical data and the historical medical data, and generate an insurance evaluation result; a sending module 504, configured to send the insurance evaluation result to the client.
In an optional embodiment, the device further comprises a receiving module, a sending module and a receiving module, wherein the receiving module is further used for receiving the real-time source data and the analysis data sent by the client; the acquisition module is also used for acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data; the early warning evaluation module is used for carrying out early warning evaluation on the health state of the user according to real-time source data, historical source data, analysis data and historical analysis data to generate early warning evaluation data; and the sending module is also used for sending the early warning evaluation data to the client.
In an optional embodiment, the apparatus further comprises: the receiving module is also used for receiving real-time source data and analysis data sent by the client; the acquisition module is also used for acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data; the doctor diagnosis module is used for performing remote doctor diagnosis on the health state of the user according to real-time source data, historical source data, analysis data and historical analysis data to generate diagnosis data; and the sending module is used for sending the diagnosis data to the client.
Fig. 6 is a schematic view of a medical health management apparatus according to another embodiment of the present invention. An apparatus for medical health management, the apparatus 600 comprising: the system comprises a client 601 and a cloud server 602 connected with the client 601. The client comprises the medical health management device shown in fig. 4, and the cloud server comprises the medical health management device shown in fig. 5.
The medical health management device can execute the medical health management method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the medical health management method. For technical details that are not described in detail in this embodiment, reference may be made to the method for medical health management provided by the embodiment of the present invention.
Fig. 7 illustrates an exemplary system architecture 700 of a method of medical health management or an apparatus of medical health management to which embodiments of the invention may be applied.
As shown in fig. 7, the system architecture 700 may include terminal devices 701, 702, 703, a network 704, and a server 705. The network 704 serves to provide a medium for communication links between the terminal devices 701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 701, 702, 703 to interact with a server 705 over a network 704, to receive or send messages or the like. Various communication client applications may be installed on the terminal devices 701, 702, 703.
The terminal devices 701, 702, 703 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 705 may be a server that provides various services, such as a background management server that supports shopping websites browsed by users using the terminal devices 701, 702, and 703. The background management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (e.g., target push information and product information) to the terminal device.
It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 8, shown is a block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment. The terminal device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 8, the computer system 900 includes a Central Processing Unit (CPU)901 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for the operation of the system 900 are also stored. The CPU 901, ROM 902, and RAM 903 are connected to each other via a bus 904. An input/output (I/O) interface 905 is also connected to bus 904. The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The above-described functions defined in the system of the present invention are executed when the computer program is executed by a Central Processing Unit (CPU) 901.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a sending module, an obtaining module, a determining module, and a first processing module. The names of these modules do not in some cases constitute a limitation on the unit itself, and for example, the sending module may also be described as a "module that sends a picture acquisition request to a connected server".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise:
s101: the method comprises the steps of obtaining real-time medical data generated in the detection process of the medical instrument, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data. S102: and sending the acquired real-time medical data to a cloud server so that the cloud server can conveniently carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data. S103: and receiving an insurance evaluation result generated by the cloud server. S104: and determining insurance rates corresponding to the health states of the users and claims thereof according to the insurance evaluation results.
The embodiment of the invention carries out comprehensive data analysis on the real-time medical data when the system is off-line, and combines the real-time medical data and the historical medical data when the system is on-line to carry out remote doctor diagnosis, early warning evaluation and insurance evaluation, thereby realizing complete closed loop of monitoring, early warning evaluation according to the real-time medical data and the historical medical data, intervention of medical institutions and insurance claim settlement, and further providing a foundation for the intervention of ordinary people in personal health management.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The above description is only an exemplary embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and the present invention shall be covered thereby. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (14)
1. A method for medical health management, the method being used in a client, the method comprising:
acquiring real-time medical data generated in the detection process of a medical instrument, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data;
the acquired real-time medical data are sent to a cloud server side, so that the cloud server side can conveniently carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data;
receiving an insurance evaluation result generated by the cloud server;
and determining insurance rates corresponding to the health states of the users and claims thereof according to the insurance evaluation results.
2. The method of claim 1, wherein the acquiring real-time medical data generated during the medical instrument testing process comprises:
acquiring real-time source data generated in the detection process of the medical instrument;
carrying out comprehensive data analysis on the acquired real-time source data to obtain analysis data;
and outputting a display result corresponding to the health state of the user based on the analysis data.
3. The method of claim 2, wherein the acquiring real-time source data generated during the medical instrument testing process comprises:
responding to the access request of the medical instrument, and generating a medical instrument access interface; the medical instrument access interface comprises at least one medical instrument option;
in response to selection of the medical instrument option within the medical instrument access interface, performing a detection operation corresponding to the medical instrument, generating real-time source data.
4. The method of claim 2, wherein after performing the comprehensive data analysis on the acquired real-time source data to obtain analysis data, the method further comprises:
sending the acquired real-time source data and the analysis data to a cloud server so that the cloud server can perform early warning evaluation on the health state of the user according to the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data;
receiving early warning evaluation data generated by the cloud server;
and outputting an early warning display result corresponding to the health state of the user based on the early warning evaluation data.
5. The method of claim 2, wherein after performing the comprehensive data analysis on the acquired real-time source data to obtain analysis data, the method further comprises:
sending the acquired real-time source data and the analysis data to a cloud server so that the cloud server can send the real-time source data and the corresponding historical source data, the analysis data and the corresponding historical analysis data to a remote doctor to diagnose the health state of the user;
receiving diagnostic data generated by the cloud server;
and outputting a diagnosis display result corresponding to the health state of the user based on the diagnosis data.
6. A method for medical health management is used for a cloud server side, and comprises the following steps:
receiving real-time medical data sent by a client, wherein the real-time medical data at least comprises one of real-time source data, analysis data, early warning evaluation data and diagnosis data;
acquiring historical medical data corresponding to the real-time medical data based on the real-time medical data;
performing insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result;
and sending the insurance evaluation result to the client.
7. The method of claim 6, wherein receiving the real-time medical data sent by the client comprises:
receiving real-time source data and analysis data sent by a client;
acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data;
according to the real-time source data, the historical source data, the analysis data and the historical analysis data, carrying out early warning evaluation on the health state of the user to generate early warning evaluation data;
and sending the early warning evaluation data to the client.
8. The method of claim 6, wherein receiving the real-time medical data sent by the client further comprises:
receiving real-time source data and analysis data sent by a client;
acquiring historical source data and historical analysis data corresponding to the real-time source data and the analysis data based on the real-time source data and the analysis data;
according to the real-time source data, the historical source data, the analysis data and the historical analysis data, performing remote doctor diagnosis on the health state of the user to generate diagnosis data;
and sending the diagnosis data to the client.
9. A method of medical health management, the method comprising:
the method comprises the steps that a client side obtains real-time medical data generated in the detection process of a medical instrument and sends the real-time medical data to a cloud server side, wherein the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data;
the cloud server receives the real-time medical data and acquires historical medical data corresponding to the real-time medical data;
the cloud server side carries out insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result, and the insurance evaluation result is sent to the client side;
and the client receives the insurance evaluation result and determines insurance rates and settlement thereof corresponding to the health state of the user according to the insurance evaluation result.
10. An apparatus for medical health management, for use in a client, the apparatus comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring real-time medical data generated in the detection process of a medical instrument, and the real-time medical data comprises at least one of real-time source data, analysis data, early warning evaluation data and diagnosis data;
the sending module is used for sending the acquired real-time medical data to a cloud server so that the cloud server can carry out insurance evaluation on the health state of the user according to the real-time medical data and the corresponding historical medical data;
the receiving module is used for receiving an insurance evaluation result generated by the cloud server side;
and the insurance claim settlement module is used for determining insurance rates corresponding to the health state of the user and claim settlement thereof according to the insurance evaluation result.
11. An apparatus for medical health management, which is used on a cloud server side, the apparatus comprising:
the system comprises a receiving module, a judging module and a judging module, wherein the receiving module is used for receiving real-time medical data sent by a client, and the real-time medical data at least comprises one of real-time source data, analysis data, early warning evaluation data and diagnosis data;
the acquisition module is used for acquiring historical medical data corresponding to the real-time medical data based on the real-time medical data;
the insurance evaluation module is used for carrying out insurance evaluation on the health state of the user according to the real-time medical data and the historical medical data to generate an insurance evaluation result;
and the sending module is used for sending the insurance evaluation result to the client.
12. An apparatus for medical health management, the apparatus comprising: the cloud server side is connected with the client side;
the client comprises the apparatus of claim 10 and the cloud server comprises the apparatus of claim 11.
13. An electronic device, comprising: one or more processors; a storage device to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-5.
14. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1-5.
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