Medical data processing method, device, storage medium and computer equipment

Abstract

The present invention discloses a method, device, storage medium and computer equipment for processing medical data, which relates to the field of data processing technology, and mainly aims to improve the processing efficiency of medical data and meet the treatment needs of different patients. The method comprises: obtaining feedback data of medical guidance information; parsing guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counting guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusting the medical guidance information according to the guidance results. The present invention is applicable to the processing of medical data.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, device, storage medium and computer equipment for processing medical data. Background Art

[0002] With the continuous development of medical science and technology and the improvement of health awareness, people's prevention and management of chronic diseases have gradually shifted from relying on drug treatment to exercise rehabilitation treatment, especially for non-specific conditions such as senile frailty caused by decreased physiological reserves, which increases the body's vulnerability and reduces the ability to resist stress. This is a hot topic in medical science and technology research.

[0003] At present, after the existing medical data on diseases that cause frailty in the elderly are collected through big data, the patient's disease outcome data is judged only by analyzing specific features in the data manually or using specific models. However, simply analyzing the disease outcome data cannot improve the treatment plan for the patient, and a single disease outcome data cannot be used to meet the different treatment needs of more patients. Therefore, a medical data processing method is urgently needed to solve the above problems. Summary of the invention

[0004] In view of this, the present invention provides a method, apparatus, storage medium and computer equipment for processing medical data, the main purpose of which is to meet the treatment needs of different patients by improving the processing efficiency of medical data.

[0005] According to one aspect of the present invention, a method for processing medical data is provided, comprising:

[0006] Obtain feedback data on medical guidance information;

[0007] parsing the guidance indicator information and the guidance function information of the medical guidance information according to the feedback data;

[0008] The guidance result of the medical guidance information is counted according to the guidance indicator information and the guidance function information, and the medical guidance information is adjusted according to the guidance result.

[0009] Optionally, the step of parsing the guidance indicator information and the guidance function information of the medical guidance information according to the feedback data includes:

[0010] Determine the medical guidance type in the feedback data, classify the feedback data according to the medical guidance type and a preset guidance classification method, and determine guidance indicator information and guidance function information.

[0011] Furthermore, the statistical guidance result of the medical guidance information according to the guidance indicator information and the guidance function information includes:

[0012] Performing evaluation and statistics on the guidance indicator information according to a preset indicator evaluation model to obtain a first evaluation result;

[0013] Performing evaluation and statistics on the guidance function information according to a preset function evaluation model to obtain a second evaluation result;

[0014] The guidance result of the medical guidance information is determined in combination with the first evaluation result and the second evaluation result.

[0015] Furthermore, before obtaining the feedback data of the medical guidance information, the method further includes:

[0016] The user's health data is obtained, and medical guidance information matching the health data is searched and outputted, wherein the medical guidance information includes exercise guidance resource information and / or diet guidance resource information.

[0017] Further, adjusting the medical guidance information according to the guidance result includes:

[0018] The exercise guidance resource information and / or the diet guidance resource information are updated according to the guidance result, or guidance parameters in the exercise guidance resource information and / or the diet guidance resource information are adjusted.

[0019] Furthermore, the method further comprises:

[0020] When update data of the health data is received, the medical guidance information is adjusted according to the update data.

[0021] Furthermore, the method further comprises:

[0022] The medical guidance information, the feedback data, the guidance result, and the medical guidance information adjusted according to the guidance result are obtained at preset time intervals to generate a medical guidance report.

[0023] According to a second aspect of the present invention, a method and apparatus for processing medical data is provided, comprising:

[0024] An acquisition unit, used for acquiring feedback data of medical guidance information;

[0025] An analysis unit, configured to analyze the guidance indicator information and the guidance function information of the medical guidance information according to the feedback data;

[0026] A statistical adjustment unit is used to collect statistics of guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjust the medical guidance information according to the guidance results.

[0027] Furthermore, the parsing unit comprises:

[0028] The classification module is used to determine the type of medical guidance in the feedback data, classify the feedback data according to the medical guidance type and a preset guidance classification method, and determine the guidance indicator information and guidance function information.

[0029] Furthermore, the statistics adjustment unit includes:

[0030] A first evaluation module is used to evaluate and count the guidance indicator information according to a preset indicator evaluation model to obtain a first evaluation result;

[0031] A second evaluation module is used to evaluate and count the guidance function information according to a preset function evaluation model to obtain a second evaluation result;

[0032] A determination module is used to determine a guidance result of the medical guidance information in combination with the first evaluation result and the second evaluation result.

[0033] Furthermore, the device also includes:

[0034] The acquisition unit is used to acquire the user's health data, search for medical guidance information matching the health data, and output it, wherein the medical guidance information includes exercise guidance resource information and / or diet guidance resource information.

[0035] Furthermore, the statistics adjustment unit further includes:

[0036] An adjustment module is used to update the exercise guidance resource information and / or the diet guidance resource information according to the guidance result, or to adjust guidance parameters in the exercise guidance resource information and / or the diet guidance resource information.

[0037] Furthermore, the device also includes:

[0038] An updating unit is used to adjust the medical guidance information according to the updated data when receiving the updated data of the health data.

[0039] Furthermore, the device also includes:

[0040] A generating unit is used to obtain the medical guidance information, the feedback data, the guidance result, and the medical guidance information adjusted according to the guidance result at preset time intervals, and generate a medical guidance report.

[0041] According to the third aspect of the present invention, a storage medium is provided, in which at least one executable instruction is stored, and the execution instruction enables a processor to perform the following steps: obtaining feedback data of medical guidance information; parsing guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counting the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusting the medical guidance information according to the guidance results.

[0042] According to a fourth aspect of the present invention, a computer device is provided, comprising a processor, a memory, a communication interface and a communication bus. The processor, the memory and the communication interface communicate with each other via the communication bus, and the memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the following steps: obtaining feedback data of medical guidance information; parsing guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counting guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusting the medical guidance information according to the guidance results.

[0043] The present invention provides a method, device, storage medium and computer equipment for processing medical data. Compared with the prior art that uses artificial or specific model analysis to determine the patient's disease result data, the present invention obtains feedback data of medical guidance information; analyzes the guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counts the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusts the medical guidance information according to the guidance results. Thus, the processing efficiency of medical data can be improved to meet the treatment needs of different patients.

[0044] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0046] Figure 1 A flow chart of a method for processing medical data provided by an embodiment of the present invention is shown;

[0047] Figure 2 A schematic diagram showing the structure of a medical data processing device provided by an embodiment of the present invention is shown;

[0048] Figure 3 A schematic diagram of the physical structure of a computer device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0049] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0050] As described in the background technology, currently, after the existing medical data on diseases that cause frailty in the elderly are collected through big data, the patient's disease outcome data is judged only by analyzing specific features in the data manually or using specific models. However, only analyzing the disease outcome data cannot improve the treatment plan for the patient, and a single disease outcome data cannot be used to meet the different treatment needs of more patients. Therefore, a medical data processing method is urgently needed to solve the above problems.

[0051] In order to solve the above problems, an embodiment of the present invention provides a method for processing medical data, such as Figure 1 As shown, the method includes:

[0052] 101. Obtain feedback data on medical guidance information.

[0053] The medical guidance information may be information for guiding different physical symptoms of the target population, such as information for medical guidance of patients with sarcopenia. The target population may be the elderly population or special patient population. The medical guidance information may specifically be exercise guidance information, diet guidance information, education guidance information, and comprehensive guidance information, etc. The feedback data may be the feedback result entered by the user after exercising or improving diet according to the medical guidance information. For example, if the medical guidance information is exercise guidance information, the exercise completion time and reasons for failure to complete exercise entered by the user may be obtained; if the medical guidance information is diet guidance information, the diet intake time, whether the diet is completed, and physical sign data such as changes in blood sugar and blood pressure entered by the user may be obtained.

[0054] 102. Analyze the guidance indicator information and the guidance function information of the medical guidance information according to the feedback data.

[0055] Among them, the guidance indicator information is used to characterize the physical state, and may include muscle strength, skeletal muscle mass, etc. The muscle strength can be measured by a JAMMAR handgrip dynamometer. The skeletal muscle mass can be measured by a bioelectrical impedance BIA meter; the guidance function information is used to characterize the ability reflected by the physical state, and may include grip strength, walking speed, 5 sit-up times, single-leg standing time, simple physical ability test SPPB score, 6m walking time, stand-up walking time, 6-minute exercise test, respiratory muscle strength, etc.; In addition, the guidance indicator information may also include weakness, daily life function index, Barthel index, brief mental state quantity, depression quantity, etc., which can be obtained by obtaining a questionnaire of user feedback and extracting relevant data information. Specifically, after obtaining the feedback data, the guidance indicator information and guidance function information of the medical guidance information are parsed according to the feedback data. After the user performs each type of guidance treatment, the changes in the guidance indicator information and guidance function information can adjust the treatment plan in time to better meet the treatment needs of different users.

[0056] 103. Count the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjust the medical guidance information according to the guidance results.

[0057] The guidance result may be an evaluation result obtained by evaluating the guidance indicator information and the guidance function information according to a preset algorithm, and the evaluation result may be used to evaluate the degree of adaptation of the guidance scheme to the user. Specifically, the guidance result of the medical guidance information is obtained by evaluating the guidance indicator information, the guidance function information and the preset evaluation algorithm. If the guidance result does not meet the preset guidance result, the medical guidance information may be adjusted according to the guidance result to obtain better medical guidance information.

[0058] Further, in order to better illustrate the above medical data processing process, as a refinement and extension of the above embodiment, the embodiment of the present invention provides several optional embodiments, but is not limited thereto, which are specifically as follows:

[0059] In an optional embodiment of the present invention, step 102 may specifically include: determining the type of medical guidance in the feedback data, classifying the feedback data according to the medical guidance type and a preset guidance classification method, and determining guidance indicator information and guidance function information.

[0060] For the embodiment of the present invention, the medical guidance type can be divided into exercise guidance, diet guidance, education guidance and comprehensive guidance. The preset guidance classification method can be to divide the feedback data of each medical guidance type into guidance indicator information and guidance function information according to the medical guidance type. For example, the division can be performed by different check bits of the feedback data, or a classification model can be established and trained to perform data division. Specifically, the medical guidance type is determined according to the feedback data, and the feedback data is classified according to the medical guidance type and the preset guidance classification method, and the feedback data is classified into guidance indicator information and guidance function information, so as to evaluate and adjust the user's medical guidance information according to different indicators and functions to meet the treatment needs of different users.

[0061] In another optional embodiment of the present invention, in order to better evaluate the user's guidance indicator information and guidance function information so as to adjust the guidance treatment plan accordingly, the step 103 may specifically include: evaluating and counting the guidance indicator information according to a preset indicator evaluation model to obtain a first evaluation result; evaluating and counting the guidance function information according to a preset function evaluation model to obtain a second evaluation result; and determining the guidance result of the medical guidance information in combination with the first evaluation result and the second evaluation result.

[0062] For the embodiment of the present invention, the index evaluation model and the function evaluation model can be established and trained according to the feedback results of the medical guidance information. Specifically, the index evaluation model can use a difference test to calculate the mean and standard deviation of each group, and the variance analysis can be used to evaluate the difference test within and between groups. The function evaluation model can be described by the mean, standard deviation, median, and quartile, and perform an inter-group variance analysis, expressed as the percentage of the data in the total number, using a chi-square test, a Fisher test, or a Wilcoxon rank sum test. After inputting the guidance index information or the guidance function information, the first evaluation result and the second evaluation result of the medical guidance information can be output. The first evaluation result can be specifically the result obtained by evaluating according to the guidance index information, such as evaluating according to the skeletal muscle mass, and whether the skeletal muscle mass reaches the treatment effect threshold after the guidance treatment; the second evaluation result can be specifically the result obtained by evaluating according to the guidance function information, such as evaluating according to the user's grip strength, walking speed, 5 sit-up time, single-leg standing time and other guidance function information, and whether the above guidance function information reaches the treatment effect threshold after the guidance treatment.

[0063] In another optional embodiment of the present invention, in order to better obtain the user's health data and formulate a guidance treatment plan that is more suitable for the user, the step 101 may also include: obtaining the user's health data, searching for medical guidance information matching the health data, and outputting it, wherein the medical guidance information includes exercise guidance resource information and / or diet guidance resource information.

[0064] For the embodiment of the present invention, the health data of the user may specifically be data characterizing the user's physical state, including both health status data and disease status data, such as the user's gender, age, height, weight, single-leg standing time, five sit-ups time, walking speed and other information, such as frailty, daily life function index, Barthel index, brief mental state, depression, etc. According to the health data, matching medical guidance information is searched locally, and the corresponding relationship between the health data and the medical guidance resources may be stored locally. The medical guidance information may include exercise guidance resource information and / or diet guidance resource information. For example, the user's frailty data is obtained, and the medical guidance information is searched locally accordingly, which may specifically be exercise guidance resource information such as advanced resistance exercise, or diet guidance resource information such as dietary replacement of vitamin D1000U. Specifically, the user's health data is obtained, the medical guidance information matching the health data is searched, and the output is performed, so that the corresponding medical guidance information can be better formulated according to the health data of different users, thereby meeting the user's treatment needs.

[0065] For the embodiment of the present invention, in order to improve the compatibility of the medical guidance information with the user-guided treatment and timely adjust the better medical guidance information, the step 103 may also specifically include: updating the exercise guidance resource information and / or the diet guidance resource information through the guidance results, or adjusting the guidance parameters in the exercise guidance resource information and / or the diet guidance resource information.

[0066] Specifically, after obtaining the guidance result of the medical guidance information, the exercise resource information and / or the diet guidance resource information can be updated according to the guidance result. For example, if the guidance result does not reach the guidance result threshold of the exercise guidance, the corresponding exercise guidance resource information and / or the diet guidance resource information can be re-searched locally according to the guidance indicator information and guidance function information of the user; in addition, the update process can also include retaining the original exercise guidance resource information and / or the diet guidance resource information, and modifying the guidance parameters according to the original guidance resource information to improve the corresponding guidance results. For example, if the medical guidance information is exercise guidance resource information assisted passive exercise 5 groups / day, the assisted passive exercise can be updated to advanced resistance exercise, or the number of assisted passive exercises can be updated to 10 groups / day.

[0067] In yet another optional embodiment of the present invention, in order to timely update and adjust the medical guidance information according to the user's health status, the method may further include: when updated data of the health data is received, adjusting the medical guidance information according to the updated data.

[0068] For the embodiment of the present invention, since the health data will change with the guidance process, after receiving the latest health data, the medical guidance information can be searched and updated according to the latest health data. For example, if the current medical guidance information is 5 sets of assisted passive exercise, and the latest health data received is that the patient cannot walk independently, the medical guidance information can be updated to advanced resistance exercise or 10 sets of assisted passive exercise according to the health data.

[0069] In another optional embodiment of the present invention, in order to more intuitively reflect the guidance situation of the medical guidance information, the method may also include: obtaining the medical guidance information, the feedback data, the guidance results, and the medical guidance information adjusted according to the guidance results at preset time intervals, and generating a medical guidance report.

[0070] For the embodiment of the present invention, the medical guidance information, the feedback data, the guidance result, and the medical guidance information adjusted according to the guidance result can be obtained at a preset time interval, and the preset time interval can be set according to a specific guidance cycle, which is not specifically limited in this embodiment. A medical guidance report can be generated based on the obtained medical guidance information, the feedback data, and the guidance result, and the medical guidance report can be used to analyze the user's feedback data and guidance results, and to further evaluate the medical guidance information adjusted according to the guidance results, so as to adjust the adjusted medical guidance information to find a treatment plan that is more suitable for the user.

[0071] The present invention provides a method for processing medical data. Compared with the prior art that uses artificial or specific model analysis to determine the patient's disease result data, the present invention obtains feedback data of medical guidance information; analyzes the guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counts the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusts the medical guidance information according to the guidance results. Thus, the processing efficiency of medical data can be improved to meet the treatment needs of different patients.

[0072] Further, as Figure 1 The specific implementation of the present invention provides a medical data processing device, such as Figure 2 As shown, the device includes: an acquisition unit 21, a parsing unit 22 and a statistical adjustment unit 23.

[0073] The acquisition unit 21 may be used to acquire feedback data of medical guidance information;

[0074] The parsing unit 22 may be used to parse the guidance indicator information and guidance function information of the medical guidance information according to the feedback data;

[0075] The statistical adjustment unit 23 may be used to collect statistics of guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjust the medical guidance information according to the guidance results.

[0076] Further, the parsing unit 22 may include:

[0077] The classification module 221 can be used to determine the type of medical guidance in the feedback data, classify the feedback data according to the medical guidance type and a preset guidance classification method, and determine guidance indicator information and guidance function information.

[0078] Further, the statistics adjustment unit 23 may include:

[0079] The first evaluation module 231 can be used to evaluate and count the guiding indicator information according to a preset indicator evaluation model to obtain a first evaluation result;

[0080] The second evaluation module 232 may be used to evaluate and count the guidance function information according to a preset function evaluation model to obtain a second evaluation result;

[0081] The determination module 233 may be used to determine the guidance result of the medical guidance information in combination with the first evaluation result and the second evaluation result.

[0082] Furthermore, the device may further include: a search output unit 24 .

[0083] The search and output unit 24 can be used to obtain the user's health data, search for medical guidance information matching the health data, and output it. The medical guidance information includes exercise guidance resource information and / or diet guidance resource information.

[0084] Furthermore, the statistical adjustment form 23 may also include:

[0085] The adjustment module 234 may be used to update the exercise guidance resource information and / or the diet guidance resource information according to the guidance result, or to adjust guidance parameters in the exercise guidance resource information and / or the diet guidance resource information.

[0086] Furthermore, the device may further include: an updating unit 25.

[0087] The updating unit 25 may be configured to adjust the medical guidance information according to the updated data when receiving the updated data of the health data.

[0088] Furthermore, the device further includes: a generating unit 26.

[0089] The generating unit 26 may be configured to obtain the medical guidance information, the feedback data, the guidance result, and the medical guidance information adjusted according to the guidance result at preset time intervals, and generate a medical guidance report.

[0090] Based on the above Figure 1 The method shown, accordingly, an embodiment of the present invention also provides a storage medium, which may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory, and the storage medium stores at least one executable instruction, and the execution instruction enables the processor to perform the following steps: obtaining feedback data of medical guidance information; parsing guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counting the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusting the medical guidance information according to the guidance results.

[0091] Based on the above Figure 1 The method shown and Figure 2 The embodiment of the device shown in the figure, the embodiment of the present invention also provides a computer device, such as Figure 3As shown, a processor (processor) 31, a communication interface (Communications Interface) 32, a memory (memory) 33, and a communication bus 34. Among them: the processor 31, the communication interface 32, and the memory 33 communicate with each other through the communication bus 34. The communication interface 34 is used to communicate with other devices such as network elements of user terminals or other servers. The processor 31 is used to execute programs, and specifically can execute the relevant steps in the above-mentioned medical data processing embodiment. Specifically, the program may include a program code, and the program code includes computer operating instructions. The processor 31 may be a central processing unit CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement an embodiment of the present invention.

[0092] The terminal includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs. Memory 33 is used to store programs. Memory 33 may include high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. The program can be specifically used to enable the processor 31 to perform the following operations: obtain feedback data of medical guidance information; parse the guidance indicator information and guidance function information of the medical guidance information according to the feedback data; count the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjust the medical guidance information according to the guidance results.

[0093] The present invention provides a medical data processing device, storage medium and computer equipment. Compared with the prior art that uses artificial or specific model analysis to determine the patient's disease result data, the present invention obtains feedback data of medical guidance information; analyzes the guidance indicator information and guidance function information of the medical guidance information according to the feedback data; counts the guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjusts the medical guidance information according to the guidance results. Thus, the processing efficiency of medical data can be improved to meet the treatment needs of different patients.

[0094] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0095] It is understandable that the related features in the above methods and devices can be referenced to each other. In addition, the "first", "second" and the like in the above embodiments are used to distinguish the embodiments, but do not represent the advantages and disadvantages of the embodiments.

[0096] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0097] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0098] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0099] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the intention that the claimed invention requires more features than those explicitly recited in each claim. More specifically, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present invention.

[0100] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0101] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

[0102] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0103] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A method for processing medical data, characterized in that: include: Obtain feedback data on medical guidance information; parsing the guidance indicator information and the guidance function information of the medical guidance information according to the feedback data; According to the guidance indicator information and the guidance function information, statistics are collected on the guidance results of the medical guidance information, and the medical guidance information is adjusted according to the guidance results; The step of parsing the guidance indicator information and guidance function information of the medical guidance information according to the feedback data includes: Determine the type of medical guidance in the feedback data, classify and process the feedback data according to the type of medical guidance and a preset guidance classification method, and determine guidance indicator information and guidance function information, wherein the type of medical guidance is divided into exercise guidance, diet guidance, education guidance and comprehensive guidance; The statistical guidance result of the medical guidance information according to the guidance indicator information and the guidance function information includes: Performing evaluation and statistics on the guidance indicator information according to a preset indicator evaluation model to obtain a first evaluation result; Performing evaluation and statistics on the guidance function information according to a preset function evaluation model to obtain a second evaluation result; Determining a guidance result of the medical guidance information by combining the first evaluation result and the second evaluation result; Before obtaining feedback data of the medical guidance information, the method further includes: Acquire the user's health data, search for medical guidance information matching the health data, and output the information, wherein the medical guidance information includes exercise guidance resource information and / or diet guidance resource information; The adjusting the medical guidance information according to the guidance result includes: updating the exercise guidance resource information and / or the diet guidance resource information according to the guidance result, or adjusting guidance parameters in the exercise guidance resource information and / or the diet guidance resource information; The method further comprises: When update data of the health data is received, the medical guidance information is adjusted according to the update data.

2. The method according to claim 1, characterized in that The method further comprises: The medical guidance information, the feedback data, the guidance result, and the medical guidance information adjusted according to the guidance result are obtained at preset time intervals to generate a medical guidance report.

3. A medical data processing device, characterized in that: include: An acquisition unit, used for acquiring feedback data of medical guidance information; An analysis unit, configured to analyze the guidance indicator information and the guidance function information of the medical guidance information according to the feedback data; A statistical adjustment unit, configured to collect statistics of guidance results of the medical guidance information according to the guidance indicator information and the guidance function information, and adjust the medical guidance information according to the guidance results; Wherein, the parsing unit comprises: A classification module, used to determine the type of medical guidance in the feedback data, classify the feedback data according to the medical guidance type and a preset guidance classification method, and determine guidance indicator information and guidance function information. The medical guidance type is divided into exercise guidance, diet guidance, education guidance and comprehensive guidance; The statistics adjustment unit comprises: A first evaluation module is used to evaluate and count the guidance indicator information according to a preset indicator evaluation model to obtain a first evaluation result; A second evaluation module is used to evaluate and count the guidance function information according to a preset function evaluation model to obtain a second evaluation result; a determination module, configured to determine a guidance result of the medical guidance information in combination with the first evaluation result and the second evaluation result; The device also includes: An acquisition unit, used to acquire the user's health data, search for medical guidance information matching the health data, and output the information, wherein the medical guidance information includes exercise guidance resource information and / or diet guidance resource information; The statistics adjustment unit also includes: An adjustment module, used to update the exercise guidance resource information and / or the diet guidance resource information according to the guidance result, or adjust guidance parameters in the exercise guidance resource information and / or the diet guidance resource information; The device also includes: An updating unit is used to adjust the medical guidance information according to the updated data when receiving the updated data of the health data.

4. A storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the steps of the method according to claim 1 are implemented.

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

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