CN115966278A - Cardiovascular metabolic disease prevention and treatment method and system based on digital therapy - Google Patents
Cardiovascular metabolic disease prevention and treatment method and system based on digital therapy Download PDFInfo
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Abstract
The application provides a cardiovascular metabolic disease prevention and treatment method and system based on digital therapy, the method acquires digital diagnosis and treatment information by acquiring health files, personalized behavior data, basic experience data and current medical advice information of a patient user, and provides a data basis for the evaluation of a preset evaluation model in a digital therapy management platform on the current health information of the patient user; the current health information of the patient user generated by the estimation of the preset estimation model is used for enabling a doctor to timely know and master the disease state of the patient user, so that the treatment method of the patient user can be timely changed, iterative medical advice information is sent to the patient user, the patient user is reminded to timely correct malpractice habits and the like, and the cardiovascular metabolic disease can be timely prevented and treated.
Description
Technical Field
The application relates to the technical field of model matching, in particular to a cardiovascular metabolic disease prevention and treatment method and system based on digital therapy.
Background
Cardiovascular metabolic diseases refer to a general term for a series of metabolic-related chronic non-infectious diseases, and mainly include cardiovascular diseases, diabetes, hypertension, dyslipidemia, and the like. Patients with cardiovascular metabolic diseases often have a co-existence of two or more associated diseases.
A large number of medical researches prove that chronic diseases such as hypertension, diabetes, fatty liver, obesity, cardiovascular diseases and the like have strong correlation with the life behavior patterns of patients, and the diseases are controlled by medicaments only, but can obtain the best effect by matching with the medicament treatment on the basis of changing and avoiding the bad life behavior patterns of the patients.
However, the patients have the practical problems of poor medical advice compliance and the like in the treatment process due to insufficient management enthusiasm and initiative, so that the prevention and treatment effect of the patients with cardiovascular metabolic diseases is poor. Therefore, how to solve the problem of poor prevention and treatment effect of the cardiovascular metabolic disease patients becomes a technical problem to be solved urgently.
Disclosure of Invention
The application provides a method and a system for preventing and treating cardiovascular metabolic diseases based on digital therapy, and aims to improve the prevention and treatment effect of patients suffering from cardiovascular metabolic diseases.
In a first aspect, the present application provides a method for digital therapy based cardiovascular disease control comprising the steps of:
acquiring a health file, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information, and uploading the digital diagnosis and treatment information to a digital therapy management platform;
based on a preset evaluation model in the digital therapy management platform, performing data evaluation on the digital diagnosis and treatment information to generate current health information of a patient user;
and sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can conveniently perform disease prevention and treatment according to the iterative medical advice information.
Further, before acquiring the health record, the personalized behavior data, the basic physical examination data and the current medical advice information of the patient user as digital diagnosis and treatment information and uploading the digital diagnosis and treatment information to a digital therapy management platform, the method further comprises the following steps:
obtaining multi-source medical knowledge of cardiovascular metabolic diseases; (ii) a
And constructing a multi-disease medical knowledge map of the cardiovascular metabolic diseases based on the multi-source medical knowledge and expert prior knowledge.
Further, the multi-source medical knowledge includes medical data and a typical case base, wherein the medical data includes electronic medical records, examination and examination reports, medical guidelines, medical literature, and medical books.
Further, the constructing a multi-disease medical knowledge map of the cardiovascular metabolic disease based on the multi-source medical knowledge and expert prior knowledge comprises:
determining a disease range of the cardiovascular metabolic disease as a main node of the multi-disease medical knowledge map based on the typical case base and the expert prior knowledge;
and inquiring medical data corresponding to the main node in the multi-source medical knowledge based on the main node, labeling the main node, and generating the multi-disease medical knowledge map.
Further, the performing data evaluation on the digital medical information based on a preset evaluation model in the digital therapy management platform to generate current health information of the patient user includes:
matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health file, the basic physical examination data and the current medical advice information of the patient user, and determining a target disease and a current disease state;
evaluating a target influence factor of the target disease based on the preset evaluation model, the health profile, the personalized behavior data and the current disease state;
generating the current health information for the patient user based on the target disease, the current disease state, and the target influence factors.
Further, the current medical order information includes current medication information and behavior guidance information, and the matching of corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health profile, the basic physical examination data, and the current medical order information of the patient user determines a target disease and a current disease state, including:
searching the multi-disease medical knowledge graph for symptom information of the patient user based on the current medication information and the health profile of the patient user, and determining the cardiovascular metabolic disease node matching the health profile of the patient user and the current medication information;
determining the target disease of the patient user based on the cardiovascular disease corresponding to the cardiovascular metabolic disease node;
determining the current disease state of the patient user based on the target disease and the base physical examination data.
In a second aspect, the present application also provides a digital therapy-based cardiovascular disease control system comprising:
the system comprises a user terminal, a digital therapy management platform and a medical system management platform, wherein the user terminal is used for acquiring a health file, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information and uploading the digital diagnosis and treatment information to the digital therapy management platform;
the cloud server is used for carrying out data evaluation on the digital diagnosis and treatment information based on a preset evaluation model in the digital therapy management platform to generate current health information of the patient user;
and the doctor diagnosis terminal is used for sending iterative medical advice information fed back by a doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can perform disease prevention and treatment according to the iterative medical advice information.
Further, the cloud server comprises:
the disease matching module is used for matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health file, the basic physical examination data and the current medical advice information of the patient user to determine a target disease and a current disease state;
a disease evaluation module for evaluating a target influence factor of the target disease based on the preset evaluation model, the health record, the personalized behavior data, and the current disease state;
a health information generation module to generate the current health information of the patient user based on the target disease, the current disease state, and the target impact factor.
In a third aspect, the present application further provides a computer device, which includes a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the method for preventing and treating cardiovascular metabolic diseases based on digital therapy.
In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method for preventing and treating cardiovascular metabolic diseases based on digital therapy as described above.
The application provides a cardiovascular metabolic disease prevention and treatment method and system based on digital therapy, the method comprises the steps of obtaining health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information, and uploading the digital diagnosis and treatment information to a digital therapy management platform; based on a preset evaluation model in the digital therapy management platform, performing data evaluation on the digital diagnosis and treatment information to generate current health information of a patient user; and sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can conveniently perform disease prevention and treatment according to the iterative medical advice information. By the method, the digital diagnosis and treatment information is obtained by collecting the health files, the personalized behavior data, the basic experience data and the current medical advice information of the patient user, and a data basis is provided for the evaluation of the current health information of the patient user by a preset evaluation model in the digital therapy management platform; the current health information of the patient user generated by the estimation of the preset estimation model is used for enabling a doctor to timely know and master the disease state of the patient user, so that the treatment method of the patient user can be timely changed, iterative medical advice information is sent to the patient user, the patient user is reminded to timely correct malpractice habits and the like, and the cardiovascular metabolic disease can be timely prevented and treated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a first embodiment of a method for preventing and treating cardiovascular metabolic diseases based on digital therapy provided by the embodiment of the application;
FIG. 2 is a schematic flow chart of a second embodiment of a method for preventing and treating cardiovascular metabolic diseases based on digital therapy provided by the embodiment of the application;
fig. 3 is a schematic block diagram of a system for prevention and treatment of cardiovascular metabolic diseases based on digital therapy according to an embodiment of the present application;
fig. 4 is a schematic block diagram of a device for preventing and treating cardiovascular metabolic diseases based on digital therapy provided by an embodiment of the application;
fig. 5 is a schematic block diagram of a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the object of the present application will be further explained with reference to the embodiments, and with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flowcharts shown in the figures are illustrative only and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments and features of the embodiments described below can be combined with each other without conflict.
The embodiment of the application provides a cardiovascular metabolic disease prevention and treatment method based on digital therapy, a cardiovascular metabolic disease prevention and treatment system based on digital therapy, computer equipment and a storage medium, and the method is used for evaluating the current health information of a patient user according to the health file, personalized behavior data, basic experience data and current medical advice information of the patient user, so that a doctor can know and master the disease state of the patient user in time, the treatment method is changed for the patient user in time, iterative medical advice information is sent to the patient user, the patient user is reminded to correct adverse behavior habits and the like in time, and the cardiovascular metabolic disease is prevented and treated in time.
Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of a method for preventing and treating cardiovascular metabolic diseases based on digital therapy according to an embodiment of the present application.
As shown in fig. 1, the method for preventing and treating cardiovascular metabolic diseases based on digital therapy includes steps S101 to S103.
S101, acquiring a health file, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information, and uploading the digital diagnosis and treatment information to a digital therapy management platform;
in this embodiment, data such as user health files, medical advice medication, daily behaviors and the like are collected through an online service of the digital therapy management platform, so that personalized data of the user can be regularly matched, and a personalized and dynamic feedback prevention and treatment scheme is provided.
Specifically, the cardiovascular metabolic disease refers to a clinical syndrome that metabolic abnormality and cardiovascular damage have a causal relationship, other cardiovascular causes are excluded, atherosclerotic cardiovascular disease is taken as a main pathophysiological change, cardiovascular and cerebrovascular events are taken as a main result, and intervention of metabolic disorder is helpful for improving prognosis. The pathogenesis of the disease is complex, metabolic abnormalities mediated by energy metabolism imbalance play an important role, and the pathogenesis of the disease is complex, and metabolic abnormalities mediated by energy metabolism imbalance play an important role.
In an embodiment, the health record, the personalized behavior data, the basic physical examination data and the current medical advice information of the patient user can be uploaded by application software of a mobile terminal of the patient, and the patient user can be guided to upload information required by a digital therapy management platform in a man-machine interaction manner.
In an embodiment, the acquisition of the digital medical information of the patient user may be a human-computer interaction mode, a questionnaire mode, a form filling mode, or other online data acquisition modes.
In one embodiment, the basic physical examination data of the patient user can be collected by a family doctor or can be automatically detected in a hospital.
In one embodiment, the basic physical examination data may include, but is not limited to, blood pressure, blood lipid, blood glucose, and the like.
Step S102, based on a preset evaluation model in the digital therapy management platform, carrying out data evaluation on the digital diagnosis and treatment information to generate current health information of a patient user;
in this embodiment, the patient user uploads the digital diagnosis and treatment information to the cloud server, and the preset evaluation model in the cloud server can perform data evaluation on the digital diagnosis and treatment information, so as to judge the current physical condition of the patient user, and a doctor can make adjustment of corresponding medical advice information according to the current physical condition.
Further, the step S102 specifically includes:
matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health file, the basic physical examination data and the current medical advice information of the patient user, and determining a target disease and a current disease state;
evaluating a target influence factor of the target disease based on the preset evaluation model, the health profile, the personalized behavior data and the current disease state;
generating the current health information for the patient user based on the target disease, the current disease state, and the target influencing factors.
In an embodiment, the determining the target disease and the current disease state comprises determining the target disease and the current disease state by matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health profile of the patient user, the basic physical examination data, and the current order information, and comprises: searching the multi-disease medical knowledge graph for symptom information of the patient user based on the current medication information and the health profile of the patient user, and determining the cardiovascular metabolic disease node matched with the health profile of the patient user and the current medication information; determining the target disease of the patient user based on the cardiovascular disease corresponding to the cardiovascular metabolic disease node; determining the current disease state of the patient user based on the target disease and the base physical examination data.
In one embodiment, metabolic cardiovascular disease is a multiple risk factor aggregate that significantly increases cardiovascular risk. In addition, the cardiovascular risk depends on the existence of metabolic risk factors such as obesity, diabetes, dyslipidemia and metabolic syndrome, and the risk of different metabolic cardiovascular patients varies greatly.
In one embodiment, common indicators of the influencing factors of cardiovascular metabolic diseases include body mass index, waist circumference, body fat distribution, diet survey, exercise condition, fasting and postprandial blood insulin levels, and may further include thyroid hormone, visceral fat quantitative distribution, etc. The weight and fat distribution are important and visual indexes reflecting the energy storage and change of the organism, the food intake and the components thereof can be preliminarily analyzed, the energy intake intensity and the basal metabolic rate and the exercise amount evaluation can quantitatively judge the energy consumption condition. Insulin is an important energy regulation factor, and can promote the synthesis of energy substances such as glycogen, protein, fat and the like of an organism, and the level and sensitivity of insulin reflect the energy utilization state of the organism.
In an embodiment, according to the digital diagnosis and treatment information of the patient user, cardiovascular metabolic disease nodes corresponding to symptoms are matched in the multi-disease medical knowledge graph, the disease type and the like of the patient user are determined, and according to the digital diagnosis and treatment information of the patient user and the corresponding expression symptoms or data and the like of the disease type at different stages, the current health information of the patient user is judged.
And S103, sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to a patient user, and covering the current medical advice information so that the patient user can prevent and treat diseases according to the iterative medical advice information.
In this embodiment, the doctor can know and grasp the current state of an illness of the patient user in time according to the evaluation report sent by the digital therapy management platform, so that the doctor's advice information of the patient user can be corrected in time, the user is reminded to correct adverse behaviors which may cause the deterioration of the state of an illness in time, the state of an illness of the patient user is controlled in time and is treated in a targeted manner, the state of an illness of the patient user is prevented from being continuously deteriorated, and therefore prevention and treatment are achieved in time.
The embodiment provides a cardiovascular metabolic disease prevention and treatment method based on digital therapy, which comprises the steps of obtaining health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information, and uploading the digital diagnosis and treatment information to a digital therapy management platform; based on a preset evaluation model in the digital therapy management platform, performing data evaluation on the digital diagnosis and treatment information to generate current health information of a patient user; and sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can conveniently perform disease prevention and treatment according to the iterative medical advice information. In the embodiment, digital diagnosis and treatment information is obtained by collecting health files, personalized behavior data, basic experience data and current medical advice information of a patient user, and a data basis is provided for the evaluation of a preset evaluation model in a digital therapy management platform on the current health information of the patient user; the current health information of the patient user generated according to the preset evaluation model is evaluated, so that a doctor can timely know and master the disease state of the patient user, the treatment method of the patient user can be timely changed, iterative medical advice information is sent to the patient user, the patient user can be reminded to timely correct malpractice habits and the like, and the cardiovascular metabolic disease can be timely prevented and cured.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for preventing and treating cardiovascular metabolic diseases based on digital therapy according to a second embodiment of the present disclosure.
As shown in fig. 2, based on the embodiment shown in fig. 1, in this embodiment, before the step S101, the method specifically further includes:
step S201, acquiring multi-source medical knowledge of cardiovascular metabolic diseases;
in an embodiment, the multi-source medical knowledge includes medical data and a repository of typical cases, wherein the medical data includes electronic medical records, examination reports, medical guidelines, medical literature, and medical books.
And S202, constructing a multi-disease medical knowledge map of the cardiovascular metabolic diseases based on the multi-source medical knowledge and expert prior knowledge.
In the embodiment, related medical knowledge is extracted based on multi-source data such as electronic medical records, examination and inspection reports, medical guidelines and the like, expert experience is integrated, medical knowledge of different sources and different structures is unified under a framework of a knowledge graph, and the medical knowledge graph covering multiple aspects such as disease information, intervention means, diagnosis and treatment guidelines and the like is constructed.
Further, the step S202 specifically includes:
determining a disease scope of the cardiovascular metabolic disease as a master node of the multi-disease medical knowledge map based on the typical case base and the expert prior knowledge;
and inquiring medical data corresponding to the main node in the multi-source medical knowledge based on the main node, labeling the main node, and generating the multi-disease medical knowledge map.
In one embodiment, the cardiovascular metabolic disease nodes can be distinguished according to the type of the pathogenesis event, pathogenesis factors or pathogenesis characteristics, and the like, such as coronary heart disease, sudden cardiac death, heart failure and other main fatalities as nodes.
In one embodiment, nodes in the multi-disease medical knowledge graph may associate related disease features and attribute features, such as specific symptoms, medication information, influence factors, etc., as child nodes or associated nodes, etc.
In an embodiment, the data characteristics associated with the nodes in the multi-disease medical knowledge graph may further include information such as disease symptom characteristics, medication information, influence factors and the like at different stages, so as to improve the evaluation accuracy of the preset evaluation model.
In one embodiment, the scope of the cardiovascular metabolic disease that the atlas needs to cover and the framework of the atlas may be determined from the medical topic goals with reference to a set of national standard medical terms, in conjunction with patient and physician attention in a typical case base. Then, a large amount of medical data are collected from the aspects of authority, coverage and content fitting degree according to the frame of the atlas, structured data with uniform forms are obtained through methods such as automatic labeling, man-machine combined post-processing and the like, and triples are formed. And constructing a multi-disease medical knowledge graph with a multi-graph framework so as to comprehensively mine the relationship among multiple diseases.
Referring to fig. 3, fig. 3 is a schematic diagram of a cardiovascular disease control system based on digital therapy according to an embodiment of the present application.
As shown in fig. 3, the cardiovascular metabolic disease prevention and treatment system based on digital therapy provided in this embodiment includes:
the system comprises a user terminal, a digital therapy management platform and a medical system management platform, wherein the user terminal is used for acquiring health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information and uploading the digital diagnosis and treatment information to the digital therapy management platform;
the cloud server is used for carrying out data evaluation on the digital diagnosis and treatment information based on a preset evaluation model in the digital therapy management platform to generate current health information of the patient user;
and the doctor diagnosis terminal is used for sending iterative medical advice information fed back by a doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can perform disease prevention and treatment according to the iterative medical advice information.
The terminal is in communication connection with the cloud server, the terminal comprises a user terminal and a doctor diagnosis terminal, and the user terminal is in communication connection with the doctor diagnosis terminal.
The terminal comprises electronic equipment such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant and wearable equipment.
The server comprises an independent server or a server cluster.
The cardiovascular disease control system based on digital therapy is used for executing the cardiovascular disease control method based on digital therapy.
Referring to fig. 4, fig. 4 is a schematic block diagram of a device for preventing and treating cardiovascular diseases based on digital therapy according to an embodiment of the present application, wherein the device for preventing and treating cardiovascular diseases based on digital therapy is used for executing the method for preventing and treating cardiovascular diseases based on digital therapy. Wherein, the cardiovascular disease prevention and treatment device based on digital therapy can be configured in a terminal.
As shown in fig. 4, the apparatus 300 for preventing and treating cardiovascular metabolic disease based on digital therapy includes: a patient information acquisition module 301, a prescription making module 302, a prescription execution module 303, and a medical feedback analysis module 304.
The digital diagnosis and treatment information acquisition module 301 is used for acquiring health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information and uploading the digital diagnosis and treatment information to a digital therapy management platform;
a patient health information evaluation module 302, configured to perform data evaluation on the digital medical information based on a preset evaluation model in the digital therapy management platform, and generate current health information of a patient user;
and the medical advice information updating module 303 is used for sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can perform disease prevention and treatment according to the iterative medical advice information.
In an embodiment, the apparatus 300 for preventing and treating cardiovascular metabolic diseases based on digital therapy further comprises a multi-disease medical knowledge map construction module for acquiring multi-source medical knowledge of cardiovascular metabolic diseases; and constructing a multi-disease medical knowledge map of the cardiovascular metabolic diseases based on the multi-source medical knowledge and expert prior knowledge.
In an embodiment, the multi-source medical knowledge includes medical data and a library of typical cases, wherein the medical data includes electronic medical records, examination and examination reports, medical guidelines, medical literature, and medical books.
In an embodiment, the multi-disease medical knowledge map building module is further configured to determine a disease range of the cardiovascular metabolic disease as a main node of the multi-disease medical knowledge map based on the typical case base and the expert prior knowledge; and inquiring medical data corresponding to the main node in the multi-source medical knowledge based on the main node, labeling the main node, and generating the multi-disease medical knowledge map.
In an embodiment, the patient health information evaluation module 302 is further configured to match corresponding cardiovascular metabolic disease nodes in the multi-medical knowledge graph based on the health profile, the basic physical examination data, and the current order information of the patient user, and determine a target disease and a current disease state; evaluating a target influence factor of the target disease based on the preset evaluation model, the health record, the personalized behavior data and the current disease state; generating the current health information for the patient user based on the target disease, the current disease state, and the target influencing factors.
In an embodiment, the patient health information evaluation module 302 is further configured to search the multi-disease medical knowledge graph for symptom information of the patient user based on the current medication information and the health profile of the patient user, and determine the node of the cardiovascular metabolic disease matching the health profile of the patient user and the current medication information; determining the target disease of the patient user based on the cardiovascular disease corresponding to the cardiovascular metabolic disease node; determining the current disease state of the patient user based on the target disease and the base physical examination data.
It should be noted that, for convenience and simplicity of description, the specific working processes of the above-described devices and modules can be referred to the corresponding processes in the foregoing embodiments of the method for preventing and treating cardiovascular metabolic diseases based on digital therapy, and are not described herein again.
The system provided by the above-described embodiment may be implemented in the form of a computer program that can be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present disclosure. The computer device may be a terminal.
Referring to fig. 5, the computer device includes a processor, a memory, and a network interface connected through a system bus, wherein the memory may include a nonvolatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause a processor to perform any of the methods for digital therapy-based prevention and treatment of cardiovascular metabolic disease.
The processor is used for providing calculation and control capability and supporting the operation of the whole computer equipment.
The internal memory provides an environment for the execution of a computer program on a non-volatile storage medium, which when executed by the processor, causes the processor to perform any of the methods for digital therapy-based prevention and treatment of cardiovascular metabolic diseases.
The network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in one embodiment, the processor is configured to execute a computer program stored in the memory to implement the steps of:
acquiring health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information, and uploading the digital diagnosis and treatment information to a digital therapy management platform;
based on a preset evaluation model in the digital therapy management platform, performing data evaluation on the digital diagnosis and treatment information to generate current health information of a patient user;
and sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can conveniently perform disease prevention and treatment according to the iterative medical advice information.
In an embodiment, before the processor performs the acquiring of the health record, the personalized behavior data, the basic physical examination data, and the current medical advice information of the patient user as digital medical treatment information and uploads the digital medical treatment information to the digital therapy management platform, the processor is further configured to perform:
obtaining multi-source medical knowledge of cardiovascular metabolic diseases; (ii) a
And constructing a multi-disease medical knowledge map of the cardiovascular metabolic diseases based on the multi-source medical knowledge and expert prior knowledge.
In an embodiment, the multi-source medical knowledge includes medical data and a library of typical cases, wherein the medical data includes electronic medical records, examination and examination reports, medical guidelines, medical literature, and medical books.
In an embodiment, the processor, in implementing the constructing a multi-disease medical knowledge map of the cardiovascular metabolic disease based on the multi-source medical knowledge and expert prior knowledge, is configured to implement:
determining a disease range of the cardiovascular metabolic disease as a main node of the multi-disease medical knowledge map based on the typical case base and the expert prior knowledge;
and inquiring medical data corresponding to the main node in the multi-source medical knowledge based on the main node, labeling the main node, and generating the multi-disease medical knowledge map.
In an embodiment, when the processor performs the data evaluation on the digital medical information based on the preset evaluation model in the digital therapy management platform to generate the current health information of the patient user, the processor is configured to perform:
matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health file, the basic physical examination data and the current medical advice information of the patient user to determine a target disease and a current disease state;
evaluating a target influence factor of the target disease based on the preset evaluation model, the health profile, the personalized behavior data and the current disease state;
generating the current health information for the patient user based on the target disease, the current disease state, and the target influence factors.
In one embodiment, the processor, in implementing that the current order information includes current medication information and behavioral guidance information, and in matching corresponding cardiometabolic disease nodes in the multi-disease medical knowledge-graph based on the patient user's health profile, basic health data, and current order information, determining a target disease and a current disease state, is configured to implement:
searching the multi-disease medical knowledge graph for symptom information of the patient user based on the current medication information and the health profile of the patient user, and determining the cardiovascular metabolic disease node matching the health profile of the patient user and the current medication information;
determining the target disease of the patient user based on the cardiovascular disease corresponding to the cardiovascular metabolic disease node;
determining the current disease state of the patient user based on the target disease and the base physical examination data.
The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the computer device.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for preventing and treating cardiovascular metabolic diseases based on digital therapy, which is characterized by comprising the following steps:
acquiring a health file, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information, and uploading the digital diagnosis and treatment information to a digital therapy management platform;
based on a preset evaluation model in the digital therapy management platform, performing data evaluation on the digital diagnosis and treatment information to generate current health information of a patient user;
and sending iterative medical advice information fed back by the doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can conveniently perform disease prevention and treatment according to the iterative medical advice information.
2. The method for preventing and treating cardiovascular metabolic diseases based on digital therapy according to claim 1, wherein before acquiring health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information and uploading the digital diagnosis and treatment information to a digital therapy management platform, the method further comprises:
obtaining multisource medical knowledge of cardiovascular metabolic diseases; (ii) a
And constructing a multi-disease medical knowledge map of the cardiovascular metabolic diseases based on the multi-source medical knowledge and expert prior knowledge.
3. The method for preventing and treating cardiovascular metabolic disease based on digital therapy according to claim 2, wherein the multi-source medical knowledge comprises medical data and a typical case base, wherein the medical data comprises electronic medical records, examination reports, medical guidelines, medical literature and medical books.
4. The method of claim 3, wherein the constructing a multi-disease medical knowledge map of the cardiovascular metabolic disease based on the multi-source medical knowledge and expert prior knowledge comprises:
determining a disease scope of the cardiovascular metabolic disease as a master node of the multi-disease medical knowledge map based on the typical case base and the expert prior knowledge;
and inquiring medical data corresponding to the main node in the multi-source medical knowledge based on the main node, labeling the main node, and generating the multi-disease medical knowledge map.
5. The method for preventing and treating cardiovascular metabolic diseases based on digital therapy according to claim 2, wherein the step of performing data evaluation on the digital medical information based on a preset evaluation model in the digital therapy management platform to generate current health information of a patient user comprises:
matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health file, the basic physical examination data and the current medical advice information of the patient user, and determining a target disease and a current disease state;
evaluating a target influence factor of the target disease based on the preset evaluation model, the health record, the personalized behavior data and the current disease state;
generating the current health information for the patient user based on the target disease, the current disease state, and the target influence factors.
6. The method of claim 5, wherein the current order information comprises current medication information and behavior guidance information, and the matching of corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge-graph based on the patient user's health profile, physical basic examination data, and current order information determines the target disease and current disease state, comprising:
searching the multi-disease medical knowledge graph for symptom information of the patient user based on the current medication information and the health profile of the patient user, and determining the cardiovascular metabolic disease node matched with the health profile of the patient user and the current medication information;
determining the target disease of the patient user based on the cardiovascular disease corresponding to the cardiovascular metabolic disease node;
determining the current disease state of the patient user based on the target disease and the base physical examination data.
7. A system for digital therapy-based cardiovascular disease management, comprising:
the system comprises a user terminal, a digital therapy management platform and a medical system management platform, wherein the user terminal is used for acquiring health files, personalized behavior data, basic physical examination data and current medical advice information of a patient user as digital diagnosis and treatment information and uploading the digital diagnosis and treatment information to the digital therapy management platform;
the cloud server is used for carrying out data evaluation on the digital diagnosis and treatment information based on a preset evaluation model in the digital therapy management platform to generate current health information of the patient user;
and the doctor diagnosis terminal is used for sending iterative medical advice information fed back by a doctor based on the current health information, sending the iterative medical advice information to the patient user, and covering the current medical advice information so that the patient user can perform disease prevention and treatment according to the iterative medical advice information.
8. The device according to claim 7, wherein the cloud server comprises:
the disease matching module is used for matching corresponding cardiovascular metabolic disease nodes in the multi-disease medical knowledge graph based on the health file, the basic physical examination data and the current medical advice information of the patient user to determine a target disease and a current disease state;
a disease evaluation module for evaluating a target influence factor of the target disease based on the preset evaluation model, the health profile, the personalized behavior data, and the current disease state;
a health information generation module to generate the current health information of the patient user based on the target disease, the current disease state, and the target impact factor.
9. A computer device comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the method for digital therapy based prevention and treatment of cardiovascular metabolic diseases as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium, having a computer program stored thereon, wherein the computer program, when being executed by a processor, implements the steps of the method for prevention and treatment of cardiovascular metabolic disease based on digital therapy according to any one of claims 1 to 6.
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