CN109887611A - A kind of medical management system and mobile terminal - Google Patents
A kind of medical management system and mobile terminal Download PDFInfo
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Abstract
This application discloses a kind of medical management system and mobile terminal, the system comprises: case control's unit is used for typing patient information；Grouping management unit is grouped patient for being based on the patient information, and analyzes the evaluation status of patient；Query unit is screened, for inquiring based at least one querying condition patient；Statistical analysis unit, for carrying out patient information statistics and/or mathematical statistics and/or Intelligent statistical to patient；Forewarning management unit, for providing chronic disease development and/or medical suggestion and/or medication suggestion and/or area forecast for patient；Message management unit, for the real-time communication between patient and medical personnel.
Description
Technical Field
The present application relates to information management technologies in the medical field, and in particular, to a medical management system and a mobile terminal.
Background
In recent years, with the introduction of China into aging society, particularly in big cities such as Beijing and Shanghai, chronic diseases gradually become frequent and multiple diseases of urban residents and cause direct and indirect economic burden such as diabetes, cardiovascular diseases, respiratory diseases and the like under the influence of factors such as adjustment of domestic dietary rules of the residents in China, continuous change of atmospheric environment, increase of automobile reserves in main cities and the like. However, as the number of patients in urban hospitals is gradually increased at present, regular medical visits cannot meet the demand of the increasing number of chronic patients; meanwhile, the number of medical staff in a hospital is fixed, the working time is limited, and an intelligent information system is urgently needed for managing the chronic diseases.
With the development of computer science and technology, informatization means in medical services are increasingly abundant, and computer information technology provides solid technical support for supporting modern intelligent medical treatment. Although the existing hospitals at all levels basically realize the electronization of prescriptions, medical records and the like, the service objects of the existing hospitals are mainly to the management of patients in the hospitals by medical staff and business auxiliary staff related to the hospitals, and the latent and after-healing plasma life of the patients is not taken into consideration. Moreover, the medical staff inputs data into the data storage device mainly by manual input and assists reading in by an inspection instrument, the input requirement integrity is high, the flow chain is difficult to interrupt, and the characteristic of the scatter of the actual business of the medical staff is not met; patients cannot report disease information actively, and there is no effective means to detect changes in chronic disease. The traditional informatization system is biased to emphasize diagnosis and treatment and medication management design of outpatient service and hospitalization, but the data management of chronic diseases is not designed in a targeted manner, so that medical workers are difficult to collect the data of the whole course of disease of patients, the follow-up data of the patients are difficult to manage, and the patients report the data actively and cannot obtain timely treatment. Therefore, the conventional information system needs to process the data through the processes of 'medical workers issuing disease condition self-checking scoring tables', 'patients follow-up visits at regular intervals, submitting the self-checking tables', 'medical workers recovering the scoring tables, sorting and inputting the data into the information system' and 'medical workers analyzing the data by software', and the data are divided obviously in sequence and have low collaboration. Therefore, on one hand, the system causes the insufficient understanding of the development of the chronic diseases of the patient by the main medical workers, the insufficient communication between the patient and the medical workers and delays the treatment of the patient; on the other hand, medical workers cannot conduct systematic research on the chronic diseases, and related medical skills and skills are improved.
Content of application
In order to solve the technical problem, an embodiment of the present application provides a medical management system and a mobile terminal.
The medical management system provided by the embodiment of the application comprises:
the patient management unit is used for inputting patient information;
a grouping management unit for grouping patients based on the patient information and analyzing the evaluation states of the patients;
a screening query unit for querying the patient based on at least one query condition;
the statistical analysis unit is used for carrying out patient information statistics and/or mathematical statistics and/or intelligent statistics on the patient;
the early warning management unit is used for providing chronic disease development conditions and/or diagnosis suggestions and/or medication suggestions and/or regional forecasts for the patient;
and the message management unit is used for real-time communication between the patient and the medical workers.
The mobile terminal provided by the embodiment of the application comprises:
the self-checking recording unit is used for recording the disease condition of the patient;
the equipment access unit is used for carrying out communication access with peripheral medical equipment and acquiring body detection data of a patient from the medical equipment;
and the real-time communication unit is used for real-time communication between the patient and the medical workers.
By adopting the technical scheme of the embodiment of the application, 1) the input data is complete and clear, and the data not only comprises the in-hospital data, but also covers the out-of-hospital data. 2) The input data is concise and convenient, the requirement of compliance of the patient after leaving the hospital is met, the time-dispersed working characteristics of medical workers are also met, and the subsequent combing is facilitated. 3) The system can stably record and accurately inquire the data of the patient with high flow under certain calculation performance by adopting a real-time database technology and multi-condition inquiry. 4) The multi-dimensional patient characteristics represented by "evaluation conditions" provide great convenience to their grouping work. 5) Based on the entered data, the statistical analysis difficulty of medical workers is effectively reduced by one-stop statistics, and the analysis result can be recovered to protect continuous research on the disease. 6) A personalized early warning system covering in-hospital and out-of-hospital data can provide interrogation guidance and treatment guidance for chronic diseases for patients and their related areas.
Drawings
Fig. 1 is a schematic flow chart of a medical management method provided in an embodiment of the present application;
FIG. 2 is an overall architecture diagram provided by an embodiment of the present application;
fig. 3 is a schematic structural component diagram of a medical management system provided in an embodiment of the present application;
fig. 4 is a schematic structural component diagram of a mobile terminal according to an embodiment of the present application;
fig. 5 is a schematic diagram of data included in a network according to an embodiment of the present application;
FIG. 6-1 is an interface for the home option provided by an embodiment of the present application;
6-2 is an interface for entering options provided by embodiments of the present application;
6-3 are interfaces for grouping options provided by embodiments of the present application;
6-4 are interfaces for screening options provided by embodiments of the present application;
FIGS. 6-5 are interfaces for analysis options provided by embodiments of the present application;
6-6 are interfaces for early warning options provided by embodiments of the present application;
6-7 are interfaces for message options provided by embodiments of the present application;
fig. 7 is a schematic interface diagram of an APP at a mobile terminal side according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an application embodiment of an electronic device in the embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the application are applicable to electronic devices such as computer systems/servers and the like, which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as computer systems/servers, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems, and the like.
The electronic device, such as a computer system/server, may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
The current medical information management system is not suitable for the actual business of medical staff and lacks data management for patients with chronic diseases. In order to solve the problems, a set of chronic disease management system facing to the multi-flow cooperation requirement in actual business is designed based on the treatment, management and scientific research requirements of medical staff. In the data entry stage, aiming at the problem that the medical data input modes are multiple (treatment data, instrument data and network data), the entry of the baseline data is completed by adopting the automatic analysis and entry of historical data and the mode of real-time data ' patient self-filling and auxiliary examination ' of medical workers ', the medical workers are guided to complete follow-up records by guide design, and a set of mobile terminal devices is developed to help the rapid entry of the data; aiming at the complex problem of data management, a group of databases which can efficiently process real-time structured and unstructured databases is arranged, and multi-condition query is mainly supported; aiming at the real-time management requirement of patients, a chronic patient compound grouping function with a reminding function according to the evaluation condition is developed; aiming at the individual analysis requirements of medical workers on the data of the chronic disease patient, a screening system covering full attributes and a one-stop traceability statistical system (comprising a basic module and an intelligent module) are established; aiming at the requirements of patients on self health management, a chronic disease development recording and early warning system based on position information, real-time data and baseline recording is provided; aiming at the communication requirements of doctors and patients, a real-time conversation and communication module between a mobile device and a management system is added.
The method is beneficial to establishing a perfect chronic disease management system, provides effective measures to improve the life of patients with chronic obstructive pulmonary disease after recovery, improves the life quality of the patients, reduces the medical economic burden, and has important social significance. Particularly, according to the characteristics of medical workers, a multi-flow segmentation processing scheme is designed, so that the medical workers can be freed from heavy data collection, and the medical data can be continuously researched and tracked.
Fig. 1 is a schematic flow chart of a medical management method provided in an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
step 1: patient information is entered.
Specifically, the patient information is of several types: patient active report data, medical worker input data, instrument collection data.
Step 2: grouping patients based on the patient information, and analyzing an evaluation status of the patients.
Here, the real-time data of the patient is stored in a distributed manner.
And step 3: the patient is queried based on at least one query condition.
And 4, step 4: the patient performs patient information statistics and/or mathematical statistics and/or intelligent statistics.
And 5: the patient is provided with chronic disease progression and/or advice for medical treatment and/or medication and/or regional forecasts.
Step 6: real-time communication between the patient and the medical practitioner.
It should be noted that the above processes are based on long-term observation and summarization of diagnosis and treatment and scientific research work of medical workers, the term "multi-process" in this application refers to reasonable process division of work of medical workers, and "multi-process cooperation" refers to that medical workers can use any function of the system and do reasonable operation from any process without time division and without user division, and the system can also process patient report data at any time period, thereby realizing cooperation between medical workers and between patients. A system partitioned and designed in the manner of this application should be considered to belong to the same or similar application.
Fig. 2 is an overall architecture diagram provided by an embodiment of the present application, and as shown in fig. 2, patients are classified according to patients at home and out of home, which are only for convenience of structural description, and the management and storage modes in the system are consistent. A patient in a hospital can directly store own basic information, professional information, medical insurance information, family information, disease information and follow-up records in a management terminal through an 'entry' function under the assistance of medical workers. In particular, the follow-up records include all the medical records such as "outpatient service and hospitalization". The patient leaving the hospital installs relevant software on the mobile terminal for the first time under the assistance of medical workers, and sets patient information; subsequently, the patient can store own basic information, professional information, medical insurance information, family information, disease information, follow-up records, high-precision position information, environment information, medication information, self-checking information and the like through the mobile terminal, other medical measuring instrument equipment can be accessed through a near field communication technology and relevant record information can be stored, and the mobile terminal is in initiative communication with an information system, acquires information issued by the information system (doctor reply, disease early warning and the like), and transmits back the mobile terminal information. Medical workers can enter the information system through the management terminal based on the web technology, use various functions and acquire various returned information. Fig. 6-1 to 6-7 are schematic interface diagrams of the medical management system according to the embodiment of the present application, and it can be seen from the diagrams that medical workers can conveniently switch menu options such as "home page", "enter", "group", "filter", "analyze", "early warning", "message" and the like in the medical management system, and further utilize functions of the corresponding options.
Embodiments of the present application provide a medical management system (e.g., chronic disease management system) according to the above-described procedures for improving the functionality and efficiency of related medical information systems. As shown in fig. 3, the system includes:
a patient management unit 102 for entering patient information;
a grouping management unit 103 for grouping patients based on the patient information and analyzing the evaluation states of the patients;
a screening query unit 104 for querying the patient based on at least one query condition;
a statistical analysis unit 105 for performing patient information statistics and/or mathematical statistics and/or intelligent statistics on the patient;
the early warning management unit 106 is used for providing chronic disease development conditions and/or treatment suggestions and/or medication suggestions and/or regional forecasts for the patient;
a message management unit 107 for real-time communication between the patient and the medical staff.
In one embodiment, the system further comprises:
a medical worker management unit 101, configured to perform user registration management, user login management, and user information maintenance of the medical worker based on the identification code of the medical worker.
In one embodiment, the patient management unit 102 is further configured to edit and manage the patient information; wherein,
the patient information includes at least one of: basic information, professional information, medical insurance information, family information, disease information, follow-up records and terminal information.
In an embodiment, the grouping management unit 103 is further configured to establish a pathology group and a test group, and classify the patient into the pathology group or the test group based on the patient information;
wherein, for the patients who are not grouped, the grouping management unit 103 is further configured to output a prompt message for reminding medical workers.
In an embodiment, the packet management unit 103 is configured to:
for patient information which can be structured, carrying out linear weighting processing on the patient information; for patient information which cannot be structured, carrying out feature coding processing on the patient information by utilizing a neural network;
and weighting the processed result and the early warning result of the patient to obtain the state quantitative index of the patient.
In one embodiment, the system further comprises:
a system support unit 108 for providing hardware support and environmental support for the various functional units operating thereon.
The functions of the above-described respective units are specifically described below.
(1) The medical worker management unit 101: the method supports the management of registered users based on identification codes (ID) of medical workers, and supports the entry, editing and management of basic information, department information, hospital information and the like of the medical workers;
(2) the patient management unit 102: the system supports the management of registered users based on patient identification codes (ID), and supports the entry, editing and management of basic information, professional information, medical insurance information, family information, disease information, follow-up records (clinical records, questionnaire records, auxiliary examination records and the like), mobile terminal information and the like of patients;
(3) the packet management unit 103: the method supports the characteristic analysis of 'evaluation state' based on multidimensional data of a patient, supports the establishment, editing and management of 'pathological groups' and 'experimental groups' of the patient, and supports the reminding function of patients who are not in group;
(4) screening query unit 104: support screening based on multidimensional patient data and features, support multi-conditional queries on specific patient subjects;
(5) the statistical analysis unit 105: basic statistics of data of the selected patients are supported, including but not limited to sex, age, disease numerical change, change of follow-up times, change of chronic disease aggravation and the like, mathematical statistics of the selected patients are supported, including but not limited to normal population analysis, variable significance test, multi-factor variance analysis and the like, intelligent statistics of the selected patients are supported, and short-term numerical forecast, long-term trend forecast, abnormal point detection and the like are supported.
(6) The warning management unit 106: the system supports the report of the development condition of the chronic disease for the patient, the advice of seeing a doctor and the advice of taking medicine for the patient and the early warning of the patient in the chronic disease area based on the geographical position information.
(7) The message management unit 107: the real-time message communication between a patient and medical workers is supported, the broadcast messages of the medical workers are supported, and the query, reply, editing and management of the medical workers are supported to transmit back messages of all mobile terminals;
(8) system supporting unit 108: the management system is provided with necessary support of computer hardware and software, and related interfaces and technologies for information communication and synchronous cooperation with the mobile terminal are provided.
The operation flow of the medical staff in one application scenario is described in detail below with reference to fig. 3.
The 101 module (medical staff management unit) is a user management module of the information system, because the system mainly uses objects as medical staff in the scene, and provides user registration management, user login management, user information maintenance (supporting entry, editing and management of basic information, department information, hospital information and the like of the medical staff) according to medical staff identification codes (IDs) for facilitating the simultaneous operation of doctors in different departments of different hospitals, and the like, and the system is realized based on database technology. After the medical workers enter the system through the 101 module, six functions of 'entering, grouping, screening, analyzing, early warning and message' described in 201 to 206 can be realized, and as mentioned above, any module can be entered from any working schedule at any time, and the system can automatically maintain business logic and consistency. For example, a doctor can enter 10 cases of patient information in 1 month and 1 day, can enter the screening function in 1 month and 2 days to select 5 patients for next analysis and operation, can enter the entry module again in 1 month and 3 days to enter 5 cases of patients and group the patients into an experiment group A, and can check the chronic disease early warning information of the experiment group A and patients who do not enter the group in 1 month and 4 days.
The function 201 is supported by the module 102, and the module 102 (patient management unit) can perform user registration management, entry support, editing and management of basic information, professional information, medical insurance information, family information, disease information, follow-up records (clinical records, questionnaire records, auxiliary examination records and the like), mobile terminal information and the like of a patient according to a patient identification code (ID), and the implementation thereof is based on database technology. Each sub-function in the patient management unit is designed according to steps, the entry state of the sub-function can be kept, and the characteristics of interruption at any time and recovery at any time are realized.
The function 202 is supported by the module 103, the main function of the module 103 (group management unit) being to give an "assessment status" feature analysis for the patient: the 'evaluation state' gives basic measurement by the information input by the patient, the structurable data is linearly added according to the empirical weight, the unstructured data is converted into a quantifiable index after being feature coded by a neural network technology, and the two types of data and the early warning result (from the module 106) of the patient are added according to the proportion to obtain the state quantification index of the patient. The second function is to provide the creation, editing and management of "pathology groups" and "experimental groups" of patients, giving the basic information of the patients' cohort genera and groups in an intuitive and convenient way. For non-enrolled patients, the module can alert medical workers in a conspicuous manner. The module is realized based on a database technology.
The function 203 is supported by the module 104, and the main function of the module 104 (screening query unit) is to perform a multi-conditional query of a specific patient object based on the multidimensional data of the patient. The query range can be based on a 'experimental group' or can be queried in the range of the whole patient. The multi-condition query is based on a cross-table query technology, and the query efficiency is improved by decomposing a complex condition into a plurality of query instructions, synchronously executing and aggregating return results. The module is realized based on a database technology.
The functionality 204 is supported by the module 105, which module 105 (statistical analysis unit) supports three main analysis modes. The first is a basic analysis function, which performs data statistics according to indexes such as gender, age, disease numerical value change, change of follow-up times, exacerbation change of chronic diseases and the like based on the aforementioned query technology, and visually presents the obtained results, including but not limited to bar chart, pie chart, line chart and the like. The second is a mathematical statistics function, which is based on a general mathematical statistics theory, and compiles a related statistical calculation program to perform statistical calculation under a medical background, including but not limited to normal overall analysis, variable significance test, multi-factor analysis of variance, and the like. And thirdly, an intelligent statistical function, wherein an intelligent statistical model is designed based on a support vector machine, a regression technology and a neural network technology, machine learning calculation is carried out under the medical background, and predictive tasks including but not limited to short-term numerical prediction, long-term trend prediction, abnormal point detection and the like can be realized.
The function 205 is supported by the module 106, and the module 106 (early warning management unit) provides the forecast of the development condition of the chronic disease mainly on the basis of the analysis of the module 105. Different 105 modules are based on the disease information of the patient only, and the modules can use the terminal of the patient to collect information, and mainly comprise high-precision position information (judging the activity amount of the patient), environment information (combining the position information to give a coefficient of the living environment of the patient), activity information (giving an action index of the patient), self-checking information (questionnaire self-filling information, accessed medical equipment and the like), medication information (the self-medication amount of the patient, the medication time changing and the like), treatment information (patient treatment record) and the like. Using a deep learning model, a patient is provided with a visit recommendation, a medication recommendation, and a chronic disease area patient early warning with the help of geographic information.
The function 206 is supported by the module 107, the module 107 (message management module) mainly provides the capability of information interaction with the mobile terminal, realizes real-time message communication between the patient and the medical workers through the internet communication technology, realizes the broadcast message of the medical workers through the internet distribution technology, and can support the medical workers to inquire, reply, edit and manage all return messages of the mobile terminal through the built-in database management.
The 108 module (system supporting unit) is the lowest layer module of the system, and the most main functions of the module are to provide basic hardware, an operating environment and network environment support for the functional units running on the module.
In specific implementation, the function of the medical management system can be realized through a website at a network side, and a doctor can log in the website through a management terminal, so that the function can be obtained on the website, wherein data at the website end is mainly input by the doctor and comprises two parts: patient basic information and patient visit information. The basic information of the patient is input when the patient enters the group for the first time, and comprises baseline data of the patient, family information of the patient, the illness history of the patient and the like; the clinic information of the patient is entered when the patient visits each clinic, and mainly comprises three types, namely an outpatient clinic, an emergency treatment and an inpatient hospital, and data specifically contained in a website end is shown in fig. 5.
Referring to fig. 6-1 to 6-7, fig. 6-1 to 6-7 provide respective interface diagrams of "home page", "entry", "grouping", "screening", "analysis", "warning", and "message" of the above-described medical management system. Referring to fig. 6-1, the first page of the medical management system shows the concentration of contaminants in a certain area (e.g., each area in beijing), and the basic statistical information such as the number of patients and the number of experimental groups in the system. Fig. 6-2 illustrates a master interface for patient entry and a table of patient basic information. Fig. 6-3 illustrate the patient grouping main interface, presently illustrated as the "coarse _ test" group of patients. Fig. 6-4 show the main interface of data screening, and it can be seen that this section includes experimental group screening, gender screening, age screening, etc., and eligible patients are displayed under the screening control. Fig. 6-5 are visual interfaces illustrating statistical analysis of data showing gender, age distribution, etc. of a currently selected patient group. In addition, the medical management system may also present an early warning interface as shown in fig. 6-6 and a message interface as shown in fig. 6-7.
Fig. 4 is a schematic structural composition diagram of a mobile terminal provided in an embodiment of the present application, and as shown in fig. 4, the mobile terminal includes:
a self-checking recording unit 302 for recording the disease condition of the patient;
the equipment access unit 303 is used for performing communication access with peripheral medical equipment and acquiring body detection data of a patient from the medical equipment;
and a real-time communication unit 304 for real-time communication between the patient and the medical staff.
In one embodiment, the mobile terminal further comprises:
a patient management unit 301 for performing user login, user logout, and management of usage rights of the patient based on the identification code of the patient; and patient information for entering the patient, wherein the patient information includes at least one of: basic information, professional information, medical insurance information, family information, disease information, follow-up records and terminal information.
In one embodiment, the self-check recording unit 302 is configured to:
for investigative self-examination, the patient is reminded to complete the recording of the disease condition through an electronic questionnaire;
for self-checking of medication, acquiring a medicine picture and a bar code record through a camera;
for the information of the treatment, the medical workers input or scan the treatment list to the information system for processing after the treatment;
for self-check for collection, the geographic location information of the patient is recorded by the sensor, while the environmental information of the patient is collected and recorded.
In one embodiment, the mobile terminal further comprises:
a system support unit 305 for providing hardware support and environmental support for the various functional units operating thereon.
The functions of the above-described respective units are specifically described below.
(1) The patient management unit 301: the system supports the management of registered users based on patient identification codes (ID), and supports the entry, editing and management of basic information, professional information, medical insurance information, family information, disease information, follow-up records (clinical records, questionnaire records, auxiliary examination records and the like), mobile terminal information and the like of patients;
(2) self-check recording unit 302: the method supports recording the chronic disease self-checking condition of the patient, the high-precision geographical position information of the patient, the environment information of the patient, the medication information of the patient and the treatment information of the patient;
(3) the device access unit 303: the method supports the access of a general interface of a user terminal, a near field communication protocol or a wireless communication protocol and other modes to medical measuring instrument equipment;
(4) the real-time communication unit 304: the real-time communication between the terminal and medical workers is supported.
(5) Terminal supporting unit 305: the system provides necessary computer physical and software support for the management system, and supports the functions of establishing communication with the system, delaying communication, keeping off-line and synchronizing cooperation.
In addition, the system is established on the basis of web technology, and the equipment terminal with the internet webpage browsing function can be used without installing any auxiliary environment; the terminal equipment is based on an Android or Apple general platform of a common mobile phone, and corresponding functional software is selected to be installed, and the method is the same as that of installing common software on mobile equipment, and is not repeated here.
The following describes the operation flow of the patient in an application scenario in detail with reference to fig. 4.
The 301 module (patient management unit) is a mobile end user management system. Which is generally initialized by medical workers based on the patient's identification code (ID), provides the patient's login and logout functions, and manages the usage rights of the mobile terminal. Meanwhile, the basic information, professional information, medical insurance information, family information, disease information, follow-up records (clinical records, questionnaire records, auxiliary examination records and the like), mobile terminal information and the like of the patient are supported to be input, edited and managed, and the mobile terminal information is realized based on the mobile database technology.
The functionality 401 is supported by the module 302, which module 302 (self-examination recording unit) mainly provides a recording functionality of the patient for the self-disease situation. On one hand, for investigative self-examination, the patient can be reminded to complete daily in a mode of a built-in electronic questionnaire, and previous records can be reviewed; for self-check of medication, a medicine picture and a bar code record (or access to intelligent equipment such as an intelligent medicine box) can be acquired through the camera function of the mobile terminal; for the visit information, the doctor can be asked to manually input or scan the visit list to the information system for processing after the visit. On the other hand, for the acquisition self-check, the high-precision geographical position information of the patient, such as GPS, Beidou and the like, can be recorded by a sensor of the mobile terminal; and meanwhile, environmental information of the patient, such as PM2.5, is collected and recorded.
The function 402 is supported by the module 303, and the module 303 (device access unit) is a device for realizing communication access with peripheral medical devices through technologies such as a universal interface, a near field communication protocol, a wireless communication protocol, and the like. Using common bluetooth communication technology as an example, if there is heart rate detector around the mobile terminal, the patient can be independently the accordant connection, treats to match the success back, and above-mentioned mobile terminal gathers patient's heart rate data in real time. In addition, blood pressure meters, blood glucose meters, ventilators, and the like are available.
The function 403 is supported by the module 304, and the module 304 (real-time communication unit) mainly functions to realize real-time message communication between the patient and the medical workers through internet communication technology, receive issued information of the medical information system, store information collected by the mobile terminal and send back to the medical information system by chance.
The 108 modules (system support units) are the lowest level modules of the system whose primary function is to provide the underlying hardware support and environmental support for the functional units running on them. Common forms are personal mobile devices including, but not limited to, smart phones, tablets, palm tops PDAs, and the like.
In specific implementation, the functions on the mobile terminal may be implemented by an Application (APP), fig. 7 shows a main functional interface of the APP, and it should be noted that fig. 7 is an exemplary interface schematic diagram, and the application interface on the mobile terminal according to the embodiment of the present application is not limited thereto, and may also be a display interface with other effects. In fig. 7, the first row from left to right is the main interface, login interface, and health self-check interface of the application, and the second row from left to right is the medicine condition interface, data upload interface, and doctor contact interface of the application.
When the APP collects data, the collected data mainly comprise three parts, namely health self-test, medication and medical condition and doctor contact. The health self-test integrates self-examination questionnaires commonly used by various patients with chronic obstructive pulmonary disease, including CAT scoring, MRC test and the like, so that the patients can complete the test quickly; the medication and medical condition mainly collects whether the patient regularly takes medicine every day, whether the patient stops changing the medicine or does not take a doctor, and the like, and if the condition of changing the medicine or the patient with acute exacerbation occurs, the patient is prompted to upload information such as a changed medicine photo or a medical case for doctor and a test result photo. The part of the patients who contact the doctor can leave a message for the doctor at any time, and meanwhile, the reply of the doctor is sent to the mobile phone end in a message pushing mode so that the patient can receive the feedback in time.
Most chronic disease patients are older, and in order to facilitate the patients to quickly master the APP using method, the embodiment of the application simplifies the APP interface and business logic as much as possible. The patient can set up the warning of using medicine according to individual habit and the standard of using medicine, and APP can record the data that the patient leaked and fill out, in time reminds the patient to mend and fill out the information. In order to guarantee timely uploading of filling data, the APP detects the network state at intervals of 5min, automatically uploads the data, and guarantees that repeated uploading of the data and missing uploading of the data cannot occur through a server side and mobile phone side dual verification mode.
The embodiment of the invention also provides electronic equipment, which can be a mobile terminal, a Personal Computer (PC), a tablet computer, a server and the like. Fig. 8 is a schematic structural diagram of an application embodiment of an electronic device in the embodiment of the present invention. Referring now to fig. 8, shown is a schematic diagram of an electronic device 1500 suitable for use in implementing a terminal device or server of an embodiment of the present application: as shown in fig. 8, the electronic device 1500 includes one or more processors, communication sections, and the like, for example: one or more Central Processing Units (CPU)1501, and/or one or more image processors (GPU)1513, etc., which may perform various appropriate actions and processes according to executable instructions stored in a Read Only Memory (ROM)1502 or loaded from a storage portion 1508 into a Random Access Memory (RAM) 1503. The communication portion 1512 may include, but is not limited to, a network card, which may include, but is not limited to, an ib (infiniband) network card, and the processor may communicate with the read-only memory 1502 and/or the random access memory 1503 to execute executable instructions, connect with the communication portion 1512 through the bus 1504, and communicate with other target devices through the communication portion 1512, thereby completing operations corresponding to any method provided by the embodiments of the present application.
In addition, in the RAM1503, various programs and data necessary for the operation of the device can be stored. The CPU1501, the ROM1502, and the RAM1503 are connected to each other by a bus 1504. In the case of the RAM1503, the ROM1502 is an optional module. The RAM1503 stores or writes executable instructions into the ROM1502 at runtime, which cause the processor 1501 to perform operations corresponding to the above-described communication methods. An input/output (I/O) interface 1505 is also connected to bus 1504. The communication unit 1512 may be integrated, or may be provided with a plurality of sub-modules (e.g., a plurality of IB network cards) and connected to the bus link.
The following components are connected to the I/O interface 1505: an input portion 1506 including a keyboard, a mouse, and the like; an output portion 1507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 1508 including a hard disk and the like; and a communication section 1509 including a network interface card such as a LAN card, a modem, or the like. The communication section 1509 performs communication processing via a network such as the internet. A drive 1510 is also connected to the I/O interface 1505 as needed. A removable medium 1511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1510 as necessary, so that a computer program read out therefrom is mounted into the storage section 1508 as necessary.
It should be noted that the architecture shown in fig. 8 is only an optional implementation manner, and in a specific practical process, the number and types of the components in fig. 8 may be selected, deleted, added or replaced according to actual needs; in different functional component settings, separate settings or integrated settings may also be used, for example, the GPU and the CPU may be separately set or the GPU may be integrated on the CPU, the communication part may be separately set or integrated on the CPU or the GPU, and so on. These alternative embodiments are all within the scope of the present disclosure.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the methods illustrated in the flowcharts, the program code may include instructions corresponding to performing the method steps provided by embodiments of the present disclosure. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 1509, and/or installed from the removable medium 1511. The above-described functions defined in the method of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 1501.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the device and system embodiments, since they basically correspond to the method embodiments, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiments.
The method, apparatus and system of the present invention may be implemented in a number of ways. For example, the methods, apparatus and systems of the present invention may be implemented by software, hardware, firmware or any combination of software, hardware and firmware. The above-described order for the steps of the method is for illustrative purposes only, and the steps of the method of the present invention are not limited to the order specifically described above unless specifically indicated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as a program recorded in a recording medium, the program including machine-readable instructions for implementing a method according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (10)
1. A medical management system, characterized in that the system comprises:
the patient management unit is used for inputting patient information;
a grouping management unit for grouping patients based on the patient information and analyzing the evaluation states of the patients;
a screening query unit for querying the patient based on at least one query condition;
the statistical analysis unit is used for carrying out patient information statistics and/or mathematical statistics and/or intelligent statistics on the patient;
the early warning management unit is used for providing chronic disease development conditions and/or diagnosis suggestions and/or medication suggestions and/or regional forecasts for the patient;
and the message management unit is used for real-time communication between the patient and the medical workers.
2. The system of claim 1, further comprising:
and the medical worker management unit is used for performing user registration management, user login management and user information maintenance of the medical workers based on the identity codes of the medical workers.
3. The system of claim 1, wherein the patient management unit is further configured to edit and manage the patient information; wherein the patient information comprises at least one of: basic information, professional information, medical insurance information, family information, disease information, follow-up records and terminal information.
4. The system of claim 1, wherein the grouping management unit is further configured to establish a pathology group and a laboratory group, and to classify the patient into the pathology group or the laboratory group based on the patient information;
wherein, for the patients who are not grouped, the grouping management unit is also used for outputting prompt messages for reminding medical workers.
5. The system of claim 1, wherein the group management unit is configured to:
for patient information which can be structured, carrying out linear weighting processing on the patient information; for patient information which cannot be structured, carrying out feature coding processing on the patient information by utilizing a neural network;
and weighting the processed result and the early warning result of the patient to obtain the state quantitative index of the patient.
6. The system of any one of claims 1 to 5, further comprising:
and the system supporting unit is used for providing hardware support and environment support for each functional unit running on the system supporting unit.
7. A mobile terminal, characterized in that the mobile terminal comprises:
the self-checking recording unit is used for recording the disease condition of the patient;
the equipment access unit is used for carrying out communication access with peripheral medical equipment and acquiring body detection data of a patient from the medical equipment;
and the real-time communication unit is used for real-time communication between the patient and the medical workers.
8. The mobile terminal of claim 7, wherein the mobile terminal further comprises:
the patient management unit is used for carrying out user login, user logout and use authority management on the patient based on the identity code of the patient; and patient information for entering the patient, wherein the patient information includes at least one of: basic information, professional information, medical insurance information, family information, disease information, follow-up records and terminal information.
9. The mobile terminal of claim 7, wherein the self-check recording unit is configured to:
for investigative self-examination, the patient is reminded to complete the recording of the disease condition through an electronic questionnaire;
for self-checking of medication, acquiring a medicine picture and a bar code record through a camera;
for the information of the treatment, the medical workers input or scan the treatment list to the information system for processing after the treatment;
for self-check for collection, the geographic location information of the patient is recorded by the sensor, while the environmental information of the patient is collected and recorded.
10. The mobile terminal according to any of claims 7 to 9, characterized in that the mobile terminal further comprises:
and the system supporting unit is used for providing hardware support and environment support for each functional unit running on the system supporting unit.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110189500A (en) * | 2019-06-21 | 2019-08-30 | 西南政法大学 | A kind of intelligent remote mentally disturbed's risk early warning system based on bluetooth positioning |
| CN110200643A (en) * | 2019-06-21 | 2019-09-06 | 西南政法大学 | A kind of long-distance intelligent mentally disturbed risk early warning system |
| CN110276929A (en) * | 2019-06-21 | 2019-09-24 | 西南政法大学 | A kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080052116A1 (en) * | 1997-03-13 | 2008-02-28 | Clinical Decision Support, Llc | Disease management system and method |
| CN104834989A (en) * | 2015-03-27 | 2015-08-12 | 首都医科大学附属北京世纪坛医院 | Multi-disease chronic disease information management system |
| CN106169022A (en) * | 2016-07-01 | 2016-11-30 | 张良 | General practitioner is health management system arranged |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
| CN107436994A (en) * | 2017-06-16 | 2017-12-05 | 康美健康云服务有限公司 | A kind of client-based patient is grouped active management method and its system |
| CN108922623A (en) * | 2018-07-12 | 2018-11-30 | 中国铁道科学研究院集团有限公司 | A kind of health risk assessment and Disease Warning Mechanism information system |
-
2019
- 2019-02-13 CN CN201910113121.XA patent/CN109887611A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080052116A1 (en) * | 1997-03-13 | 2008-02-28 | Clinical Decision Support, Llc | Disease management system and method |
| CN104834989A (en) * | 2015-03-27 | 2015-08-12 | 首都医科大学附属北京世纪坛医院 | Multi-disease chronic disease information management system |
| CN106169022A (en) * | 2016-07-01 | 2016-11-30 | 张良 | General practitioner is health management system arranged |
| CN107436994A (en) * | 2017-06-16 | 2017-12-05 | 康美健康云服务有限公司 | A kind of client-based patient is grouped active management method and its system |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
| CN108922623A (en) * | 2018-07-12 | 2018-11-30 | 中国铁道科学研究院集团有限公司 | A kind of health risk assessment and Disease Warning Mechanism information system |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110200643A (en) * | 2019-06-21 | 2019-09-06 | 西南政法大学 | A kind of long-distance intelligent mentally disturbed risk early warning system |
| CN110276929A (en) * | 2019-06-21 | 2019-09-24 | 西南政法大学 | A kind of intelligent remote mentally disturbed's risk early warning system based on mobile intelligent terminal |
| CN110189500A (en) * | 2019-06-21 | 2019-08-30 | 西南政法大学 | A kind of intelligent remote mentally disturbed's risk early warning system based on bluetooth positioning |
| CN111128377B (en) * | 2019-11-26 | 2023-08-22 | 泰康保险集团股份有限公司 | Health management early warning method and device, electronic equipment and storage medium |
| CN111128377A (en) * | 2019-11-26 | 2020-05-08 | 泰康保险集团股份有限公司 | Health management early warning method and device, electronic equipment and storage medium |
| CN111048213A (en) * | 2019-12-06 | 2020-04-21 | 张彩东 | Emergency call quality assessment management system |
| CN111369763A (en) * | 2020-04-09 | 2020-07-03 | 西南政法大学 | Attack prevention system for mental disorder patient |
| CN111973458A (en) * | 2020-08-18 | 2020-11-24 | 浙江省肿瘤医院 | Intelligent medicine taking reminding system |
| CN112286605A (en) * | 2020-09-29 | 2021-01-29 | 北京直真科技股份有限公司 | Mass condition screening control implementation method suitable for enterprise management system |
| CN112471711A (en) * | 2020-11-11 | 2021-03-12 | 武汉轻工大学 | A bracelet for epileptic |
| CN112289395A (en) * | 2020-12-29 | 2021-01-29 | 曜立科技(北京)有限公司 | Clinical diagnosis and treatment follow-up normalization method and system |
| CN112802595A (en) * | 2021-01-29 | 2021-05-14 | 中国医科大学附属盛京医院 | APP system applied to follow-up of inflammatory bowel disease conditions of children and using method thereof |
| CN113436720A (en) * | 2021-07-08 | 2021-09-24 | 浙江海心智惠科技有限公司 | Information acquisition method |
| CN113436720B (en) * | 2021-07-08 | 2022-08-30 | 浙江海心智惠科技有限公司 | Information acquisition method |
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Application publication date: 20190614 |