Personalized outpatient service system based on user portraits and processing method thereof

Abstract

The invention provides a personalized outpatient service system based on user portraits and a processing method thereof, which are used for creating a personalized outpatient service system on the basis of the user portraits of patients, and through the novel system architecture design, health requirements and medical habits of the patients can be known, requirements and pain points of the patients can be found, and the patient experience is improved. Therefore, a more scientific and reasonable medical service diagnosis and treatment and health guarantee scheme can be formulated, the health condition, demand and behavior of the patient can be mined, more accurate and personalized outpatient medical service can be provided, the patient experience can be improved, and the medical cost can be reduced.

Description

Technical Field

[0001] The present application relates to the field of hospital outpatient services, and specifically to a personalized outpatient patient service system based on user portraits and a processing method thereof. Background Art

[0002] The outpatient department is an important window for hospital patient services. The outpatient management situation and service quality directly reflect the comprehensive management and service level of the hospital and are the key links that affect patients' experience of medical treatment.

[0003] At present, the inventors of this application have found that although relevant notification services for outpatient services are generally provided through online systems, hospital outpatient clinics still generally have problems such as large number of patients, complicated procedures, many bottlenecks and poor experience. For on-site outpatient patients, there are still many inconveniences.

[0004] Therefore, the existing outpatient services urgently need to be optimized through digital means, or in other words, the above problems need to be improved by configuring new digital outpatient service methods. Summary of the invention

[0005] This application provides a personalized outpatient patient service system based on user portraits and a processing method thereof, which is used to create a personalized outpatient patient service system based on the patient's user portrait. Through this novel system architecture design, it is possible to understand the patient's health needs and medical habits, discover the patient's needs and pain points, and thus formulate more scientific and reasonable medical service diagnosis and treatment and health protection plans, explore the patient's health status, needs and behaviors, provide more accurate and personalized outpatient medical services, improve patient experience, and reduce medical costs.

[0006] In the first aspect, the present application provides a personalized outpatient service system based on user portraits. The personalized outpatient service system based on user portraits pre-builds user portraits of different patients, a personalized service knowledge base, a medical function module and an intelligent recommendation engine. The personalized service knowledge base is used to provide the knowledge required for personalized outpatient services, the medical function module is used to provide the medical functions required for personalized outpatient services, and the intelligent recommendation engine is used to provide the intelligent recommendation services required for personalized outpatient services.

[0007] The personalized outpatient service system based on user portraits includes the following work contents during the system operation process:

[0008] Identify target patients who currently require personalized outpatient services;

[0009] Determine the target outpatient service stage of the target patient, where the scope of outpatient service stage determination includes pre-diagnosis stage, diagnosis stage and post-diagnosis stage;

[0010] Based on the target user profile of the target patient determined by the pre-built user profiles of different patients, personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services adapted to the target outpatient service stage are provided to the target patient through a personalized service knowledge base, medical function module and intelligent recommendation engine.

[0011] In the second aspect, the present application provides a processing method for a personalized outpatient service system based on user portraits. The processing method for a personalized outpatient service system based on user portraits is applied to a personalized outpatient service system based on user portraits. The personalized outpatient service system based on user portraits is pre-built with user portraits of different patients, a personalized service knowledge base, a medical function module and an intelligent recommendation engine. The personalized service knowledge base is used to provide the knowledge required for personalized outpatient services, the medical function module is used to provide the medical functions required for personalized outpatient services, and the intelligent recommendation engine is used to provide the intelligent recommendation services required for personalized outpatient services. The processing method for a personalized outpatient service system based on user portraits includes:

[0012] Identify target patients who currently require personalized outpatient services;

[0013] Determine the target outpatient service stage of the target patient, where the scope of outpatient service stage determination includes pre-diagnosis stage, diagnosis stage and post-diagnosis stage;

[0014] Based on the target user profile of the target patient determined by the pre-built user profiles of different patients, personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services adapted to the target outpatient service stage are provided to the target patient through a personalized service knowledge base, medical function module and intelligent recommendation engine.

[0015] In a third aspect, the present application provides a computer-readable storage medium, which stores multiple instructions, and the instructions are suitable for a processor to load to execute the method provided by the second aspect of the present application or any possible implementation of the second aspect of the present application.

[0016] From the above content, it can be concluded that the present application has the following beneficial effects:

[0017] Aiming at the goal of optimizing outpatient service methods, this application has created a personalized outpatient patient service system based on the patient's user portrait. Through this novel system architecture design, we can understand the patient's health needs and medical habits, discover the patient's needs and pain points, and thus formulate more scientific and reasonable medical service diagnosis and treatment and health protection plans, explore the patient's health status, needs and behaviors, provide more accurate and personalized outpatient medical services, improve patient experience, and reduce medical costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A schematic diagram of the system architecture of a personalized outpatient service system based on user portraits in this application;

[0020] Figure 2 A schematic diagram of a system architecture of a personalized outpatient service system based on user portraits in this application;

[0021] Figure 3 A schematic diagram of the service content for the personalized outpatient service for this application;

[0022] Figure 4 A flowchart of a processing method of a personalized outpatient service system based on user portraits in this application. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0024] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0025] The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between modules can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in multiple circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present application.

[0026] It can be understood that the present application aims at optimizing the outpatient service mode and provides a personalized outpatient patient service system based on user portraits. In specific applications, the personalized outpatient patient service system based on user portraits can be built on the basis of hardware devices such as servers or physical hosts. It can also be configured in the form of device clusters (which may involve different types of hardware devices) and can interact with patients through cloud services, Web services, etc. Correspondingly, patients can access the personalized outpatient patient service system based on user portraits through on-site terminal devices deployed with the personalized outpatient patient service system based on user portraits at the hospital or the patient's own terminal devices. The terminal devices involved may involve different types of terminal devices such as smart screens, personal digital assistants (PDAs), smart phones, all-in-one computers, laptops or tablet computers.

[0027] Below, the personalized outpatient service system based on user portraits provided by this application is described in detail in combination with specific system components.

[0028] First, see Figure 1 , Figure 1 A schematic diagram of the system architecture of the personalized outpatient service system based on user portraits of the present application is shown. Figure 1It can be clearly seen that the personalized outpatient patient service system based on user portraits provided by the present application has pre-built four major components for the specific system work of the application, namely, user portraits of different patients, personalized service knowledge base, medical function module and intelligent recommendation engine. Among them, the patient's user portrait (which can be referred to as patient portrait for short) can be understood as a series of user tags to characterize the corresponding outpatient patients. The user portrait itself is a mature concept, so it will not be explained in detail here. The personalized service knowledge base is used to provide the knowledge required for personalized outpatient patient services, the medical function module is used to provide the medical functions required for personalized outpatient patient services, and the intelligent recommendation engine is used to provide the intelligent recommendation services required for personalized outpatient patient services.

[0029] It can be seen from the system components shown here that these system components are linked during the system operation process, and the personalized outpatient service goals to be achieved by the personalized outpatient service system based on user portraits in this application are achieved by linking two or more system components.

[0030] In this case, the personalized outpatient service system based on user portraits includes the following work contents during the system operation:

[0031] (1) Identify target patients who currently need personalized outpatient services;

[0032] It can be understood that, in order to facilitate the description of the scheme, this application takes one patient as the treatment object and records it as the target patient.

[0033] Among them, the target patient can access the system through a web page, an independent application (Application, APP), a public account or a mini-program, so that the system can treat the target patient as the patient who needs to be treated at the moment.

[0034] Alternatively, the system may also determine the corresponding patient on the system according to the manual triggering of the medical staff, and initiate the corresponding personalized outpatient service to the patient.

[0035] Alternatively, the system may also determine the corresponding patient on the system according to the corresponding service autonomous initiation strategy and initiate the corresponding personalized outpatient patient service to the patient.

[0036] Obviously, in specific operations, how to determine the target patients who currently need to provide personalized outpatient services is relatively flexible.

[0037] In addition, it is easy to understand that in actual situations, the personalized outpatient service system based on user portraits can provide personalized outpatient services to a large number of patients at the same time or at a high frequency.

[0038] (2) Determine the target outpatient service stage of the target patient, where the outpatient service stage includes the pre-diagnosis stage, the diagnosis stage, and the post-diagnosis stage;

[0039] The personalized outpatient service that can be provided by the personalized outpatient service system based on user portraits in this application obviously involves many aspects of service content. In this regard, in order to facilitate more efficient and convenient determination of the specific service content to be carried out, and at the same time to facilitate more efficient and convenient promotion of specific service content, this application can be divided into three stages: pre-diagnosis stage, diagnosis stage and post-diagnosis stage.

[0040] Correspondingly, after determining the target patients who currently need to provide personalized outpatient services, their target outpatient service stage can be determined.

[0041] Among them, the target outpatient service stage mentioned here specifically refers to the specific stage to be determined to provide the personalized outpatient patient service of this application to the target patients under the current circumstances. At some special time points, although the patient may currently be in the previous stage, the personalized outpatient patient service to be provided next can focus on the latter stage.

[0042] Therefore, the strategies involved in determining the target outpatient service stage for patients here can be adjusted based on actual conditions, so as to achieve a smoother solution with better user experience under actual circumstances.

[0043] (3) Based on the target user profile of the target patient determined by the pre-constructed user profiles of different patients, personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services adapted to the target outpatient service stage are provided to the target patient through a personalized service knowledge base, a medical function module and an intelligent recommendation engine.

[0044] It can be understood that based on the three major system components introduced above, namely, the personalized service knowledge base, the medical function module and the intelligent recommendation engine, the specific target user portrait of the target patient (here it means the matching processing involving the user portrait of the target patient) can be combined to determine the specific adapted personalized outpatient patient service content.

[0045] Among them, the personalized outpatient patient services involved in this application, specifically, involve three major aspects, namely personalized health guidance service content, personalized customer service service content and personalized diagnosis and treatment service content. The service content of these three aspects can also be divided according to the three outpatient service stages mentioned above, so as to form an adaptive and delicate personalized outpatient patient service effect.

[0046] On this basis, it is obvious that the target patients can be provided with the personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services that are adapted to their target outpatient service stage as determined above.

[0047] Aiming at the goal of optimizing outpatient service methods, this application has created a personalized outpatient patient service system based on the patient's user portrait. Through this novel system architecture design, we can understand the patient's health needs and medical habits, discover the patient's needs and pain points, and thus formulate more scientific and reasonable medical service diagnosis and treatment and health protection plans, explore the patient's health status, needs and behaviors, provide more accurate and personalized outpatient medical services, improve patient experience, and reduce medical costs.

[0048] The following continues to describe possible embodiments of the practical application of the personalized outpatient service system based on user portraits provided in the above embodiments.

[0049] As an exemplary embodiment of the present application, for the user portraits of different patients pre-built by the personalized outpatient service system based on user portraits of the present application, such as Figure 2 The personalized outpatient service system based on user portraits of the present application is shown in a system architecture diagram, which may specifically involve the following aspects:

[0050] (1) A first user profile constructed based on demographic characteristics, including age, gender, and occupation;

[0051] As for the first user portrait, it is understandable that it can help formulate more scientific and reasonable diagnosis and treatment plans and improve service quality and efficiency.

[0052] (2) A second user profile constructed through medical behavior characteristics, including frequency of visits, departments visited, diagnosis results, and treatment plans;

[0053] For the second user portrait, it is understandable that it can help scientifically arrange medical work deployment and reasonably and effectively allocate medical resources.

[0054] (3) a third user profile constructed by characterizing disease and treatment characteristics;

[0055] For the third user portrait, it is understandable that it can better understand the patient's health status and treatment needs, and provide more accurate and personalized medical services.

[0056] (4) The fourth user portrait is constructed based on medical preferences and habits.

[0057] As for the fourth user portrait, it is understandable that it can help hospitals understand patients' consultation times, methods and needs, so as to provide better medical services, improve the quality of medical services, detect and solve problems early, and strictly control risks.

[0058] It can be understood that for the construction and processing of the above user portraits, Figure 2 As shown, it can also be based on relevant historical information of historical outpatient records, historical medical records, historical physical examination reports and historical hospitalization records, but it should be noted that these historical information are not necessarily all the information involved. In some cases, the information itself can be directly entered in real time by the patient / system.

[0059] In addition, it can be understood that the purpose of the personalized service knowledge base pre-built in the personalized outpatient patient service system of this application based on user portraits is to provide patients with important means of disease recognition, promoting healthy behavior changes and improving treatment effects through text, video and other means.

[0060] As another exemplary embodiment of the present application, the personalized service knowledge base pre-built by the personalized outpatient service system based on user portraits of the present application can be specifically based on the patient's basic information (gender, age, occupation and education level, etc.), living habits, personal preferences, health status and treatment records, etc., to establish a knowledge base of corresponding precautions, medical treatment instructions and health science popularization materials (medication, follow-up, diet and exercise, etc.). Specifically, the knowledge base content may include:

[0061] For the pre-consultation stage, the knowledge base includes disease-related knowledge, pre-consultation information, diet, medical insurance, medical procedures and medical problems;

[0062] A knowledge base for the consultation stage, including examination precautions, medical procedures, routes, consulting rooms, number collection and payment, etc.;

[0063] For the post-diagnosis stage, there is a knowledge base including guidance on medication for related diseases, reminders for follow-up medical examinations, and guidance on follow-up registration;

[0064] In addition, it also includes a knowledge base for health education, which is established by constructing a rich multi-dimensional knowledge base, and can provide a source of knowledge for the next step of precise push.

[0065] In addition, as another exemplary embodiment of the present application, the medical function module pre-constructed for the personalized outpatient patient service system based on user portraits of the present application may provide the medical functions required for the personalized outpatient patient services, which may specifically include registration, payment, and medical and technical appointments, etc., to facilitate patients to use different functions.

[0066] In addition, as another exemplary embodiment of the present application, the intelligent recommendation engine pre-built for the personalized outpatient patient service system based on user portraits of the present application provides intelligent recommendation services required for personalized outpatient patient services, which may specifically include recommendation services for patient medical behavior, medical process, diagnosis and report results, etc., to facilitate the push of different services to patients.

[0067] It can be understood that the two embodiments here, like the personalized service knowledge base involved in the previous embodiments, provide more specific application solutions for the specific work content of the medical function module and the intelligent recommendation engine.

[0068] Based on the specific configuration content of the above system components, the personalized outpatient patient service system based on user portraits in this application can provide personalized outpatient patient services, which specifically involve the following in-depth content:

[0069] (1) Analyzing patients’ outpatient service needs is the basis for building a personalized outpatient service model. Through on-site surveys, literature reviews, and other methods, in-depth analysis of patients’ health knowledge levels, medical behavior characteristics, and medical preferences can help design appropriate service content for outpatient patients.

[0070] (2) Disease prevention and control knowledge, such as common disease causative factors, disease transmission routes, personal protection measures, early symptom recognition, etc., can help patients better understand the importance of disease prevention and cultivate correct health behavior habits;

[0071] (3) Chronic disease management knowledge, such as guidance on medication use, dietary control recommendations, lifestyle management, and treatment of complications, can help patients understand the characteristics of chronic diseases and improve their understanding of their own health status;

[0072] (4) Guidance on lifestyle such as daily diet structure, exercise habits, sleep habits, and emotional regulation can help patients improve their lifestyle habits and thus better manage and improve their health conditions;

[0073] (5) In order to improve the patient's medical experience, it is necessary to provide patients with full-process medical guidance, including registration guidance, waiting process guidance, examination and testing process guidance, medication collection guidance, payment process guidance, etc., so as to improve the patient's medical experience, reduce the patient's waiting time and anxiety, and improve the hospital's service efficiency.

[0074] Next, combine Figure 3 A service content schematic diagram of the personalized outpatient service of the present application is shown to provide a more specific explanation of the personalized health guidance service, personalized customer service service and personalized diagnosis and treatment service involved in the personalized outpatient service.

[0075] For personalized health guidance services, big data can be used to analyze the health information of patients who have made appointments and push personalized pre-diagnosis health guidance; track the progress of patients' medical treatment and push personalized health guidance information in a timely manner; after diagnosis, based on the patient's diagnosis / reported abnormal values / medical records, etc., a fusion of manual + AI is used to push personalized medical follow-up and health guidance to patients.

[0076] Specifically, as an exemplary embodiment of the present application, the personalized health guidance service may include the following service contents:

[0077] (1) Push medical information based on registration behavior

[0078] In the pre-consultation stage, after the target patient registers through a mobile terminal (such as a web APP, public account, or mini program, etc.), personalized medical treatment procedures are pushed based on the patient's pre-consultation behavior analysis to guide (the patient) to see the doctor smoothly;

[0079] (2) Push service function based on medical treatment process

[0080] During the consultation stage, according to the progress of the (patient) consultation, personalized medical services are pushed in real time to help (the patient) complete the consultation smoothly;

[0081] (3) Pushing education reminders based on diagnosis and medical advice

[0082] In the post-diagnosis stage, after (the patient) leaves the hospital, personalized education, medication reminders, rehabilitation training guidance and follow-up reminders will be pushed based on the patient's diagnosis and doctor's instructions.

[0083] Regarding personalized customer service, considering the complex process of outpatient medical treatment and the overlapping of business at multiple locations, patients need to find the place to handle business through inquiries. Repeated inquiries by multiple times lead to a decline in the enthusiasm of medical staff, affecting patient experience and satisfaction. In addition, when patients use APP and other access channels to access, they need to search by themselves for the current list of business modules, and there is no correlation between the business modules. There is also a lack of guidance for patients' self-service use. The instructions and introductions of each functional module are inadequate, and there are also prominent problems such as failure to match patient needs. Therefore, personalized customer service can be provided to effectively improve this series of user pain points.

[0084] Specifically, as an exemplary embodiment of the present application, the personalized customer service may include the following service contents:

[0085] (1) Provide intelligent online guidance and accurate registration

[0086] In the pre-diagnosis stage, intelligent online consultation is provided. Through conversational interaction, the doctor is simulated to ask the patient about his condition, and suspected diseases are given based on medical knowledge graphs, and the department to be consulted is recommended;

[0087] (2) During diagnosis: Provide intelligent customer service to push service cards

[0088] During the consultation stage, we provide intelligent online customer service to complement manual telephone customer service and offline consultation. We also use AI semantic understanding to analyze consultation questions and push answers. We can also intelligently push corresponding function cards and jump to the service page based on the patient's needs and questions.

[0089] (3) After diagnosis: Provide intelligent medical assistant to remind you of follow-up visits

[0090] For the post-diagnosis stage, an intelligent medical assistant is provided. Based on AI semantic understanding capabilities and intent recognition technology, corresponding functions are distributed to patients' business processing needs. Patients can directly enter the business processing interface and recommend the next step of medical treatment plan.

[0091] Specifically, as an exemplary embodiment of the present application, the personalized diagnosis and treatment service may include the following service contents:

[0092] (1) Pre-diagnosis improves the efficiency of medical record writing

[0093] In the pre-consultation stage, a pre-consultation service is provided based on the knowledge graph. During the waiting period, the patient receives a personalized consultation link and enters the link. According to the patient's registration record, a simple inquiry in the form of multiple-choice questions and text input are conducted in the form of form multiple-choice questions. The consultation medical record is automatically generated based on AI. When the doctor sees the patient, the doctor's medical record is automatically imported to form a structured medical record, which is recommended to the doctor to improve the doctor's efficiency in writing medical records;

[0094] (2) Personalized service for abnormal indicator push

[0095] During the consultation stage, we provide abnormal indicator management. Through the analysis of the patient's report results, we provide personalized push services including online consultation, MDT clinic and follow-up reminders for the patient's abnormal indicators. We also provide continuous medical services through the Internet hospital, and issue online examination orders, admission certificates and offline appointments.

[0096] (3) Provide intelligent medical assistant to remind you of follow-up visits

[0097] In the post-diagnosis stage, an intelligent medical assistant is provided with follow-up reminders to provide full disease management. After the patient is diagnosed with a chronic disease, the chronic disease management plan is added, and a personalized management plan customized by the doctor team is pushed to the patient. Educational knowledge, medication reminders, follow-up reminders and follow-up examination plans are pushed according to the patient's condition.

[0098] Regarding the above plan content, in general, the construction and practice of personalized outpatient medical service model is an in-depth study of patients' medical behavior and an important exploration of the personalized and refined development of medical services. The implementation of the personalized medical service teaching model through the personalized outpatient patient service system based on user portraits can better meet the health needs of patients, improve patients' acceptance and understanding of health knowledge, thereby promoting patients' health behavior improvements and health conditions. In the future, we can continuously improve the research level and introduce emerging information technology to build a more complete and effective outpatient personalized medical service model, provide patients with better quality and personalized medical and health services, and provide strong support for the high-quality development of hospitals.

[0099] The above is an introduction to the personalized outpatient service system based on user portraits provided by this application. Corresponding to the workflow of the system, this application also provides a processing method for the personalized outpatient service system based on user portraits.

[0100] In brief, the processing method of the personalized outpatient service system based on user portrait is applied to the personalized outpatient service system based on user portrait. The personalized outpatient service system based on user portrait has pre-built user portraits of different patients, personalized service knowledge base, medical function module and intelligent recommendation engine. The personalized service knowledge base is used to provide the knowledge required for personalized outpatient service, the medical function module is used to provide the medical function required for personalized outpatient service, and the intelligent recommendation engine is used to provide the intelligent recommendation service required for personalized outpatient service.

[0101] Continue reading Figure 4 A flowchart of a processing method of a personalized outpatient service system based on user portraits of the present application is shown. The processing method of a personalized outpatient service system based on user portraits provided by the present application may specifically include the following steps S401 to S403:

[0102] Step S401, determining the target patient who currently needs to provide personalized outpatient service;

[0103] Step S402, determining the target outpatient service stage of the target patient, wherein the outpatient service stage determination range includes the pre-diagnosis stage, the diagnosis stage and the post-diagnosis stage;

[0104] Step S403, based on the target user profile of the target patient determined by the pre-constructed user profiles of different patients, provides the target patient with personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services adapted to the target outpatient service stage through a personalized service knowledge base, a medical function module and an intelligent recommendation engine.

[0105] As another exemplary embodiment, the pre-built user portraits of different patients involve the following aspects:

[0106] The first user profile is constructed based on demographic characteristics, including age, gender, and occupation;

[0107] The second user profile is constructed based on medical behavior characteristics, including visit frequency, visit department, diagnosis results and treatment plan;

[0108] The third user profile is constructed by characterizing disease and treatment characteristics;

[0109] The fourth user portrait is constructed based on medical preferences and habits.

[0110] As another exemplary embodiment, the pre-built personalized service knowledge base is specifically based on the patient's basic information, living habits, personal preferences, health status and treatment records to establish a knowledge base of corresponding precautions, medical treatment instructions and health science popularization materials. The knowledge base content includes:

[0111] For the pre-consultation stage, including the knowledge base of disease-related knowledge, pre-consultation information, diet, medical insurance, medical procedures and medical problems;

[0112] A knowledge base for the consultation stage, including examination precautions, medical procedures, routes, consulting rooms, number collection and payment;

[0113] For the post-diagnosis stage, there is a knowledge base including guidance on medication for related diseases, reminders for follow-up medical examinations, and guidance on follow-up registration;

[0114] Knowledge base for health education.

[0115] As another exemplary embodiment, the pre-built medical function module provides the medical functions required for personalized outpatient services, including registration, payment and medical and technical appointments.

[0116] As another exemplary embodiment, the pre-built intelligent recommendation engine provides the intelligent recommendation services required for personalized outpatient services, including recommendation services for patient medical behavior, medical procedures, diagnosis and report results.

[0117] As another exemplary embodiment, the personalized health guidance service includes the following service contents:

[0118] In the pre-consultation stage, after the target patient registers through the mobile terminal, the medical process is personalized and guided according to the patient's pre-consultation behavior analysis;

[0119] During the consultation stage, personalized medical services are pushed in real time according to the progress of the consultation to help complete the consultation;

[0120] In the post-diagnosis stage, after leaving the hospital, personalized education, medication reminders, rehabilitation training guidance and follow-up reminders are pushed according to the patient's diagnosis and doctor's orders.

[0121] As another exemplary embodiment, the personalized customer service includes the following service contents:

[0122] In the pre-consultation stage, we provide intelligent online consultation guidance, which simulates doctors asking patients about their conditions, giving suspected diseases, and recommending the departments to which they should be referred through conversational interaction.

[0123] During the consultation stage, we provide intelligent online customer service, which uses AI semantic understanding to analyze consultation questions and push answers. According to the patient's needs and questions, we intelligently push corresponding function cards and jump to the service page.

[0124] For the post-diagnosis stage, an intelligent medical assistant is provided. Based on AI semantic understanding capabilities and intent recognition technology, it distributes corresponding functions to business processing needs, directly enters the business processing interface, and recommends the next step of medical treatment planning.

[0125] As another exemplary embodiment, the personalized diagnosis and treatment service includes the following service contents:

[0126] In the pre-consultation stage, a pre-consultation service is provided based on the knowledge graph. During the waiting period, after receiving a personalized consultation link and entering the link, simple inquiries in the form of multiple-choice questions and text input are conducted according to the registration record. Pre-consultation is conducted in the form of form multiple-choice questions, and the consultation medical record is automatically generated. When the consultation is received, the doctor's medical record is automatically imported to form a structured medical record and recommended to the doctor for use;

[0127] During the consultation stage, we provide abnormal indicator management. Through the analysis of report results, we provide personalized push services including online consultation, MDT clinic and follow-up reminders for abnormal indicators. We also provide continuous medical services through the Internet hospital, and issue examination orders, admission certificates and make appointments for offline consultations online.

[0128] In the post-diagnosis stage, an intelligent medical assistant is provided with follow-up reminders to provide full disease management. After being diagnosed with a chronic disease, the chronic disease management plan is added, and a personalized management plan customized by the doctor team is pushed. Educational knowledge, medication reminders, follow-up reminders and follow-up examination plans are pushed according to the condition.

[0129] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process of the processing method of the personalized outpatient service system based on user portrait described above can refer to the following. Figure 1 The description of the personalized outpatient service system based on user portraits in the corresponding embodiment will not be repeated here.

[0130] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0131] To this end, the present application provides a computer-readable storage medium, in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the present application as follows: Figure 4 The steps of the processing method of the personalized outpatient service system based on user portrait in the corresponding embodiment, the specific operation can refer to the following Figure 4 The description of the processing method of the personalized outpatient service system based on user portrait in the corresponding embodiment will not be repeated here.

[0132] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0133] Due to the instructions stored in the computer-readable storage medium, the present application can be executed. Figure 4 The steps of the processing method of the personalized outpatient service system based on user portrait in the corresponding embodiment, therefore, the present application can be implemented as follows Figure 4 The beneficial effects that can be achieved by the processing method of the personalized outpatient service system based on user portraits in the corresponding embodiment are detailed in the previous description and will not be repeated here.

[0134] The above is a detailed introduction to the personalized outpatient service system based on user portraits, the processing method of the personalized outpatient service system based on user portraits, and the computer-readable storage medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A personalized outpatient service system based on user portraits, characterized in that: The personalized outpatient patient service system based on user portraits is pre-built with user portraits of different patients, a personalized service knowledge base, a medical function module and an intelligent recommendation engine. The personalized service knowledge base is used to provide the knowledge required for personalized outpatient patient services, the medical function module is used to provide the medical functions required for the personalized outpatient patient services, and the intelligent recommendation engine is used to provide the intelligent recommendation services required for the personalized outpatient patient services; The personalized outpatient service system based on user portraits includes the following work contents during the system operation process: Identify target patients who currently require the personalized outpatient services described; Determine the target outpatient service stage of the target patient, wherein the outpatient service stage determination scope includes the pre-diagnosis stage, the diagnosis stage and the post-diagnosis stage; Based on the target user profile of the target patient determined by the pre-constructed user profiles of the different patients, the target patient is provided with personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services adapted to the target outpatient service stage through the personalized service knowledge base, the medical function module and the intelligent recommendation engine.

2. The personalized outpatient service system based on user portrait according to claim 1 is characterized in that: The pre-built user portraits of different patients involve the following aspects: A first user profile constructed by demographic characteristics, wherein the demographic characteristics include age, gender, and occupation; A second user profile constructed by medical behavior characteristics, wherein the medical behavior characteristics include frequency of visits, departments visited, diagnosis results, and treatment plans; The third user profile is constructed by characterizing disease and treatment characteristics; The fourth user portrait is constructed based on medical preferences and habits.

3. The personalized outpatient service system based on user portrait according to claim 1 is characterized in that: The pre-built personalized service knowledge base is specifically based on the patient's basic information, living habits, personal preferences, health status and diagnosis and treatment records to establish a knowledge base of corresponding precautions, medical treatment instructions and health science popularization materials. The knowledge base content includes: Corresponding to the pre-diagnosis stage, the knowledge base includes disease-related knowledge, pre-diagnosis information, diet, medical insurance, medical procedures and medical problems; Corresponding to the diagnosis stage, a knowledge base including examination precautions, medical procedures, routes, clinics, number collection and payment; Corresponding to the post-diagnosis stage, the knowledge base includes guidance on medication for related diseases, reminders for follow-up medical examinations, and guidance on follow-up registration; Knowledge base for health education.

4. The personalized outpatient service system based on user portrait according to claim 1, characterized in that: The pre-built medical function module provides the medical functions required for the personalized outpatient service, including registration, payment and medical technology appointment.

5. The personalized outpatient service system based on user portrait according to claim 1, characterized in that: The pre-built intelligent recommendation engine provides the intelligent recommendation services required for the personalized outpatient service, including recommendation services for patient medical behavior, medical process, diagnosis and report results.

6. The personalized outpatient service system based on user portrait according to claim 1, characterized in that: The personalized health guidance service includes the following services: Corresponding to the pre-diagnosis stage, after the target patient registers through the mobile terminal, the medical treatment process is personalized and guided according to the patient's pre-diagnosis behavior analysis; Corresponding to the above-mentioned stage of diagnosis, according to the progress of the diagnosis, medical services are pushed in real time and personalized to help complete the diagnosis; Corresponding to the post-diagnosis stage, after leaving the hospital, personalized education, medication reminders, rehabilitation training guidance and follow-up reminders are pushed according to the patient's diagnosis and doctor's orders.

7. The personalized outpatient service system based on user portrait according to claim 1 is characterized in that: The personalized customer service includes the following services: In the pre-diagnosis stage, intelligent online consultation is provided. Through conversational interaction, the doctor is simulated to ask the patient about his or her condition, give suspected diseases, and recommend the department to be consulted. In the diagnosis stage, intelligent online customer service is provided to analyze consultation questions and push answers through AI semantic understanding capabilities. According to the patient's needs and questions, corresponding function cards are intelligently pushed to jump to the service page; Corresponding to the post-diagnosis stage, an intelligent medical assistant is provided. Based on the AI ​​semantic understanding ability and intention recognition technology, corresponding functions are distributed to business processing needs, the business processing interface is directly entered, and the next step of medical treatment planning is recommended.

8. The personalized outpatient service system based on user portrait according to claim 1, characterized in that: The personalized diagnosis and treatment services include the following services: Corresponding to the pre-diagnosis stage, a pre-consultation service is provided based on the knowledge graph. During the waiting period, after receiving a personalized consultation link and entering the link, simple inquiries in the form of multiple-choice questions and text input are conducted according to the registration record. The pre-consultation is conducted in the form of form multiple-choice questions, and the consultation medical record is automatically generated. When the consultation is received, the doctor's medical record is automatically imported to form a structured medical record, which is recommended to the doctor for use; Corresponding to the above-mentioned diagnosis stage, abnormal indicator management is provided. Through the analysis of report results, personalized push services including online consultation, MDT clinic and follow-up reminders are provided for abnormal indicators. Continuous medical services are provided through Internet hospitals, and online examination orders, admission certificates and offline appointments are issued; Corresponding to the post-diagnosis stage, an intelligent medical assistant is provided with follow-up reminders to provide full disease management. After being diagnosed with a certain chronic disease, the chronic disease management plan is added, and a personalized management plan customized by the doctor team is pushed. According to the condition of the disease, educational knowledge, medication reminders, follow-up reminders and follow-up examination plans are pushed.

9. A processing method for a personalized outpatient service system based on user portraits, characterized in that: The processing method of the personalized outpatient service system based on user portrait is applied to the personalized outpatient service system based on user portrait. The personalized outpatient service system based on user portrait is pre-built with user portraits of different patients, a personalized service knowledge base, a medical function module and an intelligent recommendation engine. The personalized service knowledge base is used to provide the knowledge required for personalized outpatient service, the medical function module is used to provide the medical function required for the personalized outpatient service, and the intelligent recommendation engine is used to provide the intelligent recommendation service required for the personalized outpatient service. The processing method of the personalized outpatient service system based on user portrait includes: Identify target patients who currently require the personalized outpatient services described; Determine the target outpatient service stage of the target patient, wherein the outpatient service stage determination scope includes the pre-diagnosis stage, the diagnosis stage and the post-diagnosis stage; Based on the target user profile of the target patient determined by the pre-constructed user profiles of the different patients, the target patient is provided with personalized health guidance services, personalized customer service services and personalized diagnosis and treatment services adapted to the target outpatient service stage through the personalized service knowledge base, the medical function module and the intelligent recommendation engine.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor to execute the method of claim 9.

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