Determination method and application method of pre-examination triage process
By classifying and collecting patients in grassroots hospitals, using smart terminals and manual combinations, the problems of heavy information entry and long waiting time in pre-examination and triage are solved, and efficient and accurate information collection and resource sharing are achieved.
Patent Information
- Application Number
- CN202410136421.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-31
- Publication Date
- 2025-08-05
AI Technical Summary
During the pre-examination and triage process of grassroots hospitals, information entry is heavy and dependent on manual labor, resulting in low data accuracy and poor integrity, and the patient's waiting time is too long to effectively utilize information resources.
By defining the patient type and user information group, a pre-examination and triage module is built, multiple test processes are generated, the optimal collection source is selected based on patient characteristics, and a personalized information collection process is realized by combining intelligent terminals, clients and manual collection methods.
It improves the accuracy and completeness of information entry, reduces patient waiting time, realizes the sharing and integration of information resources, and improves work efficiency and patient medical experience.
Smart Images
Figure CN120432119A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of hospital information management, and in particular to a method for determining and applying a pre-examination and triage process. Background Art
[0002] In recent years, my country has made significant progress in disease prevention and control. Grassroots hospitals, in particular, must implement patient registration systems, strengthen the first-visit responsibility system, and effectively manage personnel and conduct pre-examination and triage. These hospitals handle a large number of patients, some of whom can register independently using smart devices, while others, such as the elderly and children, cannot, or even have limited communication skills.
[0003] Information entry for pre-examination and triage personnel is a tedious task. A large amount of information needs to be filled out item by item in various forms. If the traditional manual registration method is used, it is subject to the subjective influence of the data entry personnel, and there are factors such as arbitrariness, poor standardization, and illegible handwriting, which lead to low data accuracy and integrity, and low data utilization in the later stage. After optimizing information entry to information management, the effectiveness of information entry and the reuse of later data are effectively increased. However, at the same time, the number of medical staff and terminal devices is limited, the staff has many tasks, and when there are many patients, the waiting time is too long. Therefore, a solution for the pre-examination and triage process is needed to improve the efficiency and accuracy of information registration and maximize the efficiency of staff and the autonomy of patients in the pre-examination and triage process of the hospital. Summary of the Invention
[0004] To achieve the above objectives, this application provides a method for determining a pre-examination and triage process, including:
[0005] defining a patient type, the type comprising a first characteristic and a second characteristic;
[0006] Determine pre-examination and triage user information, and define the name, attributes, and content of the user information group; the content of the user information group includes one or more user information items; the attributes of the user information group include collection source, preferred collection time, and actual collection time; the name of the user information group includes: basic information, epidemiological history, medical information, and initial diagnosis results;
[0007] Constructing a pre-examination and triage module, wherein the content of the pre-examination and triage module corresponds to the user information group and the patient type;
[0008] Generate multiple pre-screening and triage test processes;
[0009] Perform test comparisons to determine the optimal collection source from the multiple pre-examination and triage test processes and determine the pre-examination and triage process.
[0010] Among them, the collection sources include: self-service collection by smart terminals, client collection, and manual collection.
[0011] Furthermore, the first and second characteristics of the patient are judged based on the impression information. The first characteristics include: children, adults, and the elderly; the second characteristics include: autonomous, semi-autonomous, and non-autonomous; the impression information includes the patient's age and autonomous ability.
[0012] Furthermore, the correspondence between the content of the pre-examination and triage module and the user information group and the patient type means: collecting user information of each user information group for each patient type;
[0013] Generating multiple pre-examination triage test processes refers to: specifying collection sources for user information groups based on patient types, including specifying all collection sources for all user information groups of a patient type.
[0014] Execution of the test comparison includes:
[0015] Prepare patient data and obtain patient type based on patient data;
[0016] Collect user information through all pre-screening and triage testing processes based on patient data;
[0017] Extract the actual collection time of user information collected by all patients through all pre-examination and triage test processes, extract the optimal collection time, and determine the optimal collection source.
[0018] Among them, determining the optimal collection source means: when information is collected for a patient type corresponding to a user information group, the collection source corresponding to the optimal collection time is the optimal collection source.
[0019] Among them, the pre-examination and triage test process refers to: realizing the data generation process of a patient during medical treatment through the control of data flow, including data acquisition from information collection to obtaining initial diagnosis results. The pre-examination and triage test process is controlled by the pre-examination and triage server, which loads and determines whether to switch the collection source in the process steps.
[0020] Among them, switching the collection source includes switching from client collection to manual collection, switching from client collection to self-service collection of smart terminals, and switching from self-service collection of smart terminals to client collection. When switching from self-service collection of smart terminals to client collection, the smart terminal is supported to generate a QR code to realize the association of data relationships.
[0021] Furthermore, when the module content corresponds to the user information group and the patient type, the patient type corresponding to the module content supports the first feature association and the second feature association.
[0022] In another aspect, the present invention provides an application method of a pre-examination and triage process, comprising:
[0023] Obtaining patient impression information and determining the patient type based on the impression information;
[0024] Load the pre-examination and triage process, which consists of multiple pre-examination and triage modules. The module content of each pre-examination and triage module corresponds to the user information group and patient type;
[0025] According to the patient type, the optimal pre-examination and triage process is matched.
[0026] According to the present invention, the accuracy and completeness of data entry can be guaranteed, the pressure of patients waiting in line can be reduced, the work efficiency can be further improved, the sharing of patient information can be realized, and the internal information islands can be effectively broken; at the same time, through the analysis of user characteristics, the autonomy of patients can be fully exerted, and in the process of realizing the autonomous feature customization implementation process, the information resource integration is realized, and the characteristics of network data transmission such as accuracy and convenience are fully exerted, so as to make full use of information and improve the medical experience of the masses. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 is a step diagram of a method for determining a pre-examination and triage process according to an embodiment of the present invention;
[0028] Figure 2 Schematic diagram of the implementation structure of the pre-examination and triage process provided according to an embodiment of the present invention;
[0029] Figure 3 This is a step diagram of an application method of a pre-examination and triage process according to an embodiment of the present invention;
[0030] Figure 4 It is an application diagram of the pre-examination and triage process provided according to an embodiment of the present invention. DETAILED DESCRIPTION
[0031] Among the patients that local primary hospitals deal with, there are teenagers and adults who are familiar with the applications of smart devices. If this group of people adopts a self-service advance registration method, the registration efficiency can be greatly improved; there are also patients with slightly weaker independent processing capabilities but good communication skills. For this type of patients, having hospital staff collect information on the client side can ensure accuracy and maximize registration efficiency; there are also patients with relatively weak communication skills, in which case staff need to use manual collection methods separately and communicate with patients separately, which can ensure the validity of patient information and not affect the registration of other patients. Therefore, the present invention provides a method for determining the pre-diagnosis and triage process, classifying patients and selecting different collection methods for different types of patients to achieve process personalization and maximize the efficiency of information collection and the reusability of information.
[0032] The pre-examination and triage process of the present invention is implemented based on the pre-examination and triage system of a grassroots hospital. The pre-examination and triage system includes client functions and server functions: the client function is used to realize the collection of patient data, supporting traditional computer terminals and mobile smart terminals for collection; the server function realizes the management of patient data and classifies patient data. The classified information is encapsulated into pre-examination and triage modules. The pre-examination and triage modules corresponding to different patients can be collected in different steps and different clients to realize the control of the pre-examination and triage process. After determining and setting the patient's pre-examination and triage process, the server defines the most suitable pre-examination and triage process according to the classification of different patients; this process is loaded on the terminal for different patients, providing the function and process steps of collecting data.
[0033] The specific implementation of the present invention is described in detail below with reference to the accompanying drawings.
[0034] like Figure 1 As shown, the method for determining the pre-examination and triage process proposed by the present invention includes the following steps:
[0035] Step S100: defining a patient type, wherein the type includes a first feature and a second feature;
[0036] In the present invention, impression information is used to judge the first characteristic and the second characteristic of the patient.
[0037] Among them, the first characteristics include: children, teenagers, adults, and the elderly; the second characteristics include: autonomous, semi-autonomous, and non-autonomous.
[0038] Impression information includes the patient's age, autonomy, communication ability, etc., which can be obtained through the information input interface provided by the smart terminal, or through the client and registration interface deployed at the hospital triage desk.
[0039] The first feature is defined based on the age in the impression information, for example: those under 8 years old are children, those between 8 and 18 years old are teenagers, those between 18 and 60 years old are adults, and those over 60 years old are elderly;
[0040] Age can be used to further define a patient's secondary characteristics. For example, children aged 3 to 8 can be classified as semi-autonomous; children aged 0 to 3, since they must have a guardian to express information and requests, are defined as autonomous; people over 80 are considered semi-autonomous, and the rest of the population is considered autonomous. Furthermore, within the hospital triage client, the secondary characteristics can be modified and confirmed based on the patient's autonomy and communication abilities. This allows staff to adjust the secondary characteristics of patients whose physical condition, language barriers, and other factors affect communication after contact with the patient. For example, adults with communication difficulties due to language barriers can be classified as semi-autonomous or non-autonomous.
[0041] Step S110: Determine pre-examination and triage user information, and define the name, attributes, and content of the user information group;
[0042] The content of a user information group includes one or more items of user information; the names of the user information groups involved in the present invention at least include: basic information, epidemiological history, medical information, and initial diagnosis results.
[0043] Specifically, the basic information includes user information such as ID number, user name, age, contact information, and detailed address. The basic information can be obtained by directly entering it or retrieving information from a designated data interface, such as obtaining the ID number through an ID card reader.
[0044] Epidemiological history includes user information such as epidemiological history, travel history, and recent vaccination information. This information can be directly entered or obtained from some application programming interfaces of smart terminals.
[0045] The user information contained in the medical information includes: onset date, main complaint and symptoms, medical department, and grade; this information is entered by doctors and staff;
[0046] The initial diagnosis results include user information such as initial pulse, initial respiration, initial blood pressure, and initial body temperature. This information can be entered by staff or obtained by reading data from smart devices (such as smart blood pressure monitors).
[0047] Generally speaking, the user information group also includes triage results, which include: receiving nurse, treating doctor, re-measurement of body temperature, detailed examination, diagnosis destination, processing time, etc.
[0048] The information of each user information group also includes a set of sampling times automatically obtained by the computer system or the intelligent device system, including: collection start time and collection end time.
[0049] The attributes of the user information group include collection source, preferred collection time, and actual collection time.
[0050] Among them, the collection sources include: self-service collection by smart terminals, client collection, manual collection and interface collection: 1) Self-service collection by smart terminals: The present invention provides smart terminal applications, WeChat applets, public accounts, etc. to provide information entry functions for patients with independent capabilities; it also supports reading data from some application interfaces of smart terminals; 2) Client collection: The present invention provides data access for computer terminals, supports data access for applications and web pages, and hospital staff implement information entry at the triage front desk; 3) Manual collection: A manual collection interface is provided for the staff's mobile phone terminal or computer terminal, which is used by the staff to collect information with special patients When used, compared with the client collection method, the manual collection method supports defects such as incompleteness and inaccuracy of information, which requires further verification and confirmation. Therefore, the collection cycle is longer. In actual applications, the client collection end supports scenarios with large traffic, fast input speed and short waiting time; the manual collection end separates patients who cannot be collected quickly and processes them separately to reduce the impact on other patients; 4) Interface collection: extracts data from data interfaces such as smart terminals, instrument terminals, and HIS systems, including retrieving information from the hospital HIS system by reading ID cards or medical numbers, reading data from smart blood glucose meters and blood pressure meters, etc., and embeds them into client collection and smart terminal self-service collection.
[0051] The collection start and end times for each user information group can be used to calculate the actual collection duration. After testing, the optimal collection duration for each user information group is determined as the preferred collection duration. Generally speaking, for a user information group of a certain patient type, the optimal collection duration is the one that meets a preset condition among the actual collection times generated by all collection sources. The preset condition can be the minimum actual collection time corresponding to multiple collection sources, or a duration that is less than a specified value.
[0052] Taking the collection of basic information as an example, the actual collection time of this user information group for all patient types includes the 9 situations shown in Table 1. The actual collection time of this user information group for one type of patient (for example, autonomous) includes three actual collection time periods, and the shortest actual collection time period is the preferred collection time period; similarly, for semi-autonomous patients, the smallest actual collection time period among 4 to 6 is taken as the preferred collection time period.
[0053]
[0054] Table 1
[0055] Step S120: constructing a pre-examination and triage module, wherein the module content corresponds to the user information group and the patient type;
[0056] At this time, the patient type corresponding to the module content supports two forms of first feature association and second feature association:
[0057] The first feature association is to classify patients into children, adolescents, adults, and the elderly, and to specify the collection source of the pre-examination and triage module based on the first feature;
[0058] The second feature association is to classify the patient into autonomous, semi-autonomous, and non-autonomous, and the collection source of the pre-examination and triage module is specified according to the second feature.
[0059] In the present invention, the description is made in a manner related by the second feature.
[0060] The correspondence between the module content and the user information group and patient type refers to: one user information group, one patient type, and one pre-examination and triage module; the present invention involves 3 types of patient types and 4 user information groups, which generates 12 corresponding relationships and constitutes 12 pre-examination and triage modules.
[0061] For the correspondence between the three data collection sources and the 12 pre-examination and triage modules, 36 correspondences are generated. Table 2 provides the 12 correspondences when the patient type is autonomous:
[0062]
[0063] Table 2
[0064] Step S130: generating multiple pre-examination and triage test processes;
[0065] Generating multiple pre-examination and triage test processes means: specifying different collection sources for the pre-examination and triage module, specifically specifying the collection source of the user information group according to the patient type.
[0066] According to the 36 corresponding relationships generated in step 120, 36 pre-examination and triage test processes are generated. Among them, the test process generated when the patient type is autonomous is shown in Table 2.
[0067] In the present invention, the pre-examination and triage test process realizes the data generation process of a patient in the process of medical treatment through the control of data flow, including the data acquisition from information collection to obtaining the initial diagnosis results. The process steps are controlled by the pre-examination and triage server, and it is determined whether to switch the collection source when each process step is loaded. For example: the pre-examination and triage test process of a certain autonomous type of patient is: basic information is collected by the smart terminal by self-service, and the epidemiological history is collected by the client; the server controls the pre-examination and triage module loaded by the patient's smart terminal as basic information. After the basic information is entered, it is switched to the epidemiological history module loaded by the hospital's client. The triggering of the switch can be initiated after a pre-examination and triage module is completed and at the beginning. For example: after the pre-examination and triage module loaded by the smart terminal is completed, a request to switch to the client for collection is initiated, and the server pushes the request information to the specified client to realize the switching of the collection source.
[0068] When switching the collection source, including switching from client collection to manual collection, switching from client collection to self-service collection from smart terminals, switching from self-service collection from smart terminals to client collection, etc., when switching from client collection to other collection methods, data relationships can be associated through ID card numbers; when switching from self-service collection from smart terminals to other collection methods, data relationships can be associated through methods such as ID card numbers and terminal-generated QR codes.
[0069] For example, a patient of the autonomous type enters basic information and epidemiological history in the mobile terminal application, and switches to the hospital client to enter the medical information. A QR code is generated in the mobile terminal application, such as Figure 4 As shown in part P401, the hospital client application provides a code scanning function to extract the information corresponding to the QR code, and all the entered information of the patient can be obtained.
[0070] Step S140: Perform test comparison to determine the optimal collection source from multiple pre-examination and triage test processes, and determine the pre-examination and triage process.
[0071] Specifically, the test comparison includes:
[0072] 1) preparing patient data and obtaining a patient type according to the patient data;
[0073] First, determine the patient type based on the impression information, and then perform a pre-examination and triage test process corresponding to each patient type.
[0074] The applicant prepared a large number of users for comparison in an actual diagnosis and treatment environment. The oldest patient participating in the comparison was 89 years old, the youngest was 5 years old, and most were between 43 and 59 years old. The number of patients of each type participating in each group of process comparison exceeded 100.
[0075] 2) Collect user information through all pre-examination and triage testing processes based on patient data;
[0076] When collecting user information, the system generates the actual collection time of each pre-examination and triage module.
[0077] 3) Extract the actual collection time of user information collected by all patients through all pre-examination and triage test processes, extract the optimal collection time, and determine the optimal collection source.
[0078] As shown in Table 2 , for autonomous patients, the time for collecting the four groups of user information is A1 to A3, B1 to B3, C1 to C3, and D1 to D3 respectively.
[0079] Extracting the optimal collection time refers to the optimal time for obtaining information from different collection sources. Generally, the minimum time is used. For example, among A1 to A3, A1 is the minimum time; among B1 to B3, B1 is the minimum time, among C1 to C3, C2 is the minimum time, and among D1 to D3, D2 is the minimum time. The optimal collection times are A1, B1, C2, and D2, respectively.
[0080] Determining the optimal collection source means: when information is collected for a patient type corresponding to a user information group, the collection source corresponding to the optimal collection time is the optimal collection source.
[0081] For example: the optimal collection time is A1, B1, C2, and D2 respectively, and the corresponding collection sources are: basic information and epidemiological history are collected by self-service smart terminals, and medical information and initial diagnosis results are collected by clients.
[0082] The final pre-examination and triage process can be determined as follows:
[0083] Basic information is collected by self-service through smart terminals, epidemiological history is collected by self-service through smart terminals, medical information is collected by clients, and initial diagnosis results are collected by clients. After the epidemiological history collection is completed, the process steps pre-controlled on the server side will switch the collection source of the user from self-service collection through smart terminals to collection through clients.
[0084] Through the above methods, the pre-inspection and triage process of non-autonomous and semi-autonomous user types can be determined. The implementation structure of the pre-inspection and triage process is as follows: Figure 2 As shown: The user information group is shown in part P220. Its collection method is controlled by the patient type determined by part P210 based on the impression information to achieve process control. By comparing the actual collection time through each collection source, the pre-examination and triage process is determined in part P240.
[0085] Based on the method for determining the pre-examination and triage process proposed by the present invention, the present invention also provides an application method of the pre-examination and triage process, such as Figure 3 As shown, the following steps are included:
[0086] Step S300: Acquire patient impression information, and determine the patient type corresponding to the patient based on the impression information;
[0087] The patient type includes the first characteristic and the second characteristic. The first characteristic includes: children, adults, and the elderly. The second characteristic includes: autonomous, semi-autonomous, and non-autonomous. The impression information includes the patient's age and the autonomous ability manifested in reality. The first characteristic can be judged by the patient's age, and the second characteristic can be determined by combining the impression information and the first characteristic.
[0088] Step S310: loading a pre-examination and triage process, wherein the pre-examination and triage process is composed of a plurality of pre-examination and triage modules, and the module content of each pre-examination and triage module corresponds to the user information group and the patient type;
[0089] In the present invention, during the patient's visit to the hospital, user information from information collection to diagnosis generation is grouped to form a user information group, which at least includes: basic information, epidemiological history, medical information, and initial diagnosis results.
[0090] Each user information group corresponds to a pre-examination and triage module; each pre-examination and triage module specifies a collection source based on the patient type, and the collection sources include: self-service collection by smart terminals, client collection, manual collection, and interface collection.
[0091] Step S320: Match the optimal pre-examination and triage process according to the patient type.
[0092] The method for determining the pre-examination and triage process provided by the present invention has determined the optimal pre-examination and triage process for various patient types. In this step, the corresponding collection sources for each pre-examination and triage module in the optimal pre-examination and triage process are loaded according to the patient type. For example, for autonomous patients, the optimal pre-examination and triage process is to first obtain the patient's basic information and epidemiological history through self-service collection on a smart terminal, then switch to client-side collection to further obtain the patient's medical information, initial diagnosis results, and further triage results.
[0093] The present invention makes full use of various data interaction methods to achieve data docking between computer terminals, smart device terminals, and code scanning devices. It not only avoids the shortcomings of traditional manual data entry and reduces a large amount of paper consumption, but also customizes the pre-examination and triage process based on the flow of people in the hospital and the autonomous characteristics of different groups of people. It not only ensures the accuracy and completeness of data entry, but also reduces the pressure of patients waiting in line, further improves work efficiency, and realizes the sharing of patient information, effectively breaking the internal information island. Among them, through the analysis of user characteristics, the process of realizing autonomous feature customization is realized, and the information resource integration is realized, giving full play to the characteristics of accurate and convenient network data transmission, so as to achieve the work requirements of letting information run more and letting the people run less.
[0094] The above disclosures are only a few specific embodiments of the present invention. However, the present invention is not limited thereto. Any changes that can be conceived by those skilled in the art should fall within the scope of protection of the present invention.
Claims
1. A method for determining a pre-examination and triage process, characterized in that: include: defining a patient type, the type comprising a first characteristic and a second characteristic; Determine pre-examination and triage user information, and define the name, attributes, and content of a user information group; the content of the user information group includes one or more items of user information; The attributes of the user information group include collection source, preferred collection time, and actual collection time; The names of the user information groups include: basic information, epidemiological history, medical information, and initial diagnosis results; Constructing a pre-examination and triage module, wherein the content of the pre-examination and triage module corresponds to the user information group and the patient type; Generate multiple pre-screening and triage test processes; Perform test comparisons to determine pre-examination and triage procedures.
2. The determination method according to claim 1, characterized in that The collection sources include: self-service collection by smart terminals, client collection, and manual collection.
3. The determination method according to claim 1, characterized in that Determining a first characteristic and a second characteristic of the patient based on the impression information, wherein the first characteristic includes: child, adult, and elderly; The second characteristics include: autonomous, semi-autonomous, and non-autonomous; The impression information includes the patient's age and autonomy.
4. The determination method according to claim 1, characterized in that The correspondence between the content of the pre-examination and triage module and the user information group and the patient type means: collecting user information of each user information group for each patient type; Generating multiple pre-examination and triage test processes refers to: specifying the collection source of the user information group according to the patient type, including specifying all collection sources for all user information groups of a patient type.
5. The determination method according to claim 1, characterized in that: The execution test comparison includes: preparing patient data, and obtaining a patient type based on the patient data; Based on the patient data, collect user information through all pre-screening and triage testing processes; Extract the actual collection time of user information collected by all patients through all pre-examination and triage test processes, extract the optimal collection time, and determine the optimal collection source.
6. The determination method according to claim 5, characterized in that: The determining of the optimal collection source means that when information is collected for a patient type corresponding to a user information group, the collection source corresponding to the optimal collection duration is the optimal collection source.
7. The determination method according to claim 1, characterized in that: The pre-examination and triage test process refers to: realizing the data generation process of a patient during medical treatment through the control of data flow, including data acquisition from information collection to obtaining initial diagnosis results. The pre-examination and triage test process is controlled by the pre-examination and triage server, and the process steps are loaded to determine whether to switch the collection source.
8. The determination method according to claim 7, characterized in that: The switching of collection sources includes switching from client collection to manual collection, switching from client collection to self-service collection by smart terminals, and switching from self-service collection by smart terminals to client collection. When switching from self-service collection by smart terminals to client collection, the smart terminal is supported to generate a QR code to realize the association of data relationships.
9. The determination method according to claim 1, characterized in that: When the module content corresponds to the user information group and the patient type, the patient type corresponding to the module content supports the first feature association and the second feature association.
10. An application method of the pre-examination and triage process, characterized in that: include: Acquiring patient impression information, and determining the patient type of the patient based on the impression information; Loading a pre-examination and triage process, wherein the pre-examination and triage process is composed of multiple pre-examination and triage modules, and the module content of each pre-examination and triage module corresponds to the user information group and the patient type; According to the patient type, the optimal pre-examination and triage process is matched.