Algorithm for convenient medical-seeking path planning of hospital patient

Abstract

The invention relates to the technical field of hospital outpatient service, in particular to an algorithm for planning a convenient medical path of a hospital patient. Comprising the following steps: S1, analyzing a doctor-seeing process and decomposing doctor-seeing nodes; s2, sorting the clear precedence order of the doctor-seeing nodes; s3, full-dose acquisition of patient treatment link data; s4, automatically judging the current doctor seeing node of the patient; and S5, configuring a doctor seeing node circulation rule by the background. According to the algorithm for conveniently planning the medical-seeing path of the hospital patient, the latest diagnosis and treatment information is obtained in real time in the medical-seeing process of the patient, meanwhile, the patient is correctly guided to go to the next diagnosis and treatment link to receive the diagnosis and treatment service according to the current medical-seeing node of the patient, and related operations such as appointment making, sign-in, payment and evaluation are completed in a self-service mode; therefore, the medical treatment process is simplified, and the medical treatment experience of the patient is comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the field of hospital outpatient technology, and in particular to an algorithm for planning a convenient medical treatment route for hospital patients. Background Art

[0002] At present, with the gradual implementation of hospital information construction, most hospitals above the second level have built patient service systems and corresponding information systems covering manual windows, offline self-service terminals and online mobile terminals. However, in actual application, the self-service functions of each line are simply listed on the main service interface. Patients need to make their own judgments or be guided by medical staff on the next step to find the corresponding function before they can operate. It is very inconvenient to use and requires high understanding and learning ability of users.

[0003] In order to standardize the medical treatment order and guide patients to receive medical treatment conveniently, the hospital has deployed a large number of publicity and guidance materials in the hospital, including signs, route guidance, building layout, precautions, etc., combined with the service desk, medical guide desk or triage desk arranged in the outpatient hall or various departments. Some hospitals also have supporting service volunteers.

[0004] Despite the above measures, during actual on-site medical consultations, there are still a large number of patients who do not know what to do at the next medical consultation node, where to go and who to find, and can only actively ask medical staff, which also brings great service pressure to the hospital's personnel arrangements.

[0005] Therefore, how to provide an algorithm for convenient medical route planning for hospital patients has become a technical problem to be solved by those skilled in the art. Summary of the invention

[0006] The technical problem to be solved by the present invention is how to provide an algorithm for convenient medical route planning for hospital patients.

[0007] To achieve the above object, the present invention provides an algorithm for convenient medical path planning for hospital patients, comprising the following steps:

[0008] S1: Analyze the medical treatment process and decompose the medical treatment nodes;

[0009] S2: Sort out the medical consultation nodes and clarify the order;

[0010] S3: Obtain all the patient visit data;

[0011] S4: Automatically determine the patient’s current visit node;

[0012] S5: Configure the flow rules of the medical consultation node in the background.

[0013] The optimized medical treatment mode of this application is as follows:

[0014] Construction model: From the perspective of overall planning of the patient service system, during construction, we will break the data and functional isolation between different business systems, integrate the functions between different business systems, and continuously simplify the user-side usage steps, with the core goal of improving user experience.

[0015] Usage mode: Aggregate the originally independent functional modules scattered in various business systems through the medical process, and recommend the most appropriate medical path and corresponding service functions based on the patient's current medical node.

[0016] This will change the original passive service response into active service guidance, so that patients do not have to "beg" anyone for help throughout the entire medical treatment process.

[0017] This technology has optimized the medical treatment process. Patients no longer need to ask medical staff or plan their medical treatment route based on their own judgment. They only need to follow the route planning and relevant guidance provided by the system to complete the most time-consuming part of outpatient medical treatment.

[0018] For patients, by optimizing the medical process, the nodes and time for patients to run errands are greatly reduced. Regarding the diagnosis and treatment services themselves, patients only need to arrive at the designated location at the recommended time according to the instructions and click on the corresponding operations to complete the entire medical process in a fool-proof manner, greatly improving the medical experience.

[0019] For hospitals, by optimizing the medical treatment process, the number of patients' inquiries and the time they stay in the hospital can be greatly reduced, the work efficiency of medical staff can be improved, and the medical treatment order of the entire hospital can be standardized.

[0020] Preferably, the specific steps of S1 are:

[0021] ①. All links in the patient's actual medical treatment process are broken down into medical treatment nodes, covering the nodes before, during and after the diagnosis;

[0022] ②. Clarify the node entry conditions, end conditions, patient participation content, etc., and establish a complete outpatient treatment pathway as the basic data for recommendation guidelines;

[0023] ③. Sort out and refine the data sources, operation contents, display contents, data destinations, etc. of the medical consultation nodes, and establish complete business logic and data logic as the basic logic for recommendation guidelines.

[0024] Before the official operation of this application, relevant personnel in the hospital will be trained, including patient-side operation and use, management background node and rule configuration, data analysis indicator significance and corresponding optimization direction, and assist the hospital to complete the first basic data configuration.

[0025] During the formal operation period, we will continue to collect feedback from the hospital and patients, continuously optimize the program process, internal logic and rule knowledge base, identify process bottlenecks through process efficiency analysis, and continuously improve patient medical experience and hospital management efficiency by optimizing management and service processes.

[0026] Preferably, the specific steps of S2 are:

[0027] Based on clinical rules and management rules related to diagnosis and treatment, combined with the layout of hospital departments, the order of each medical treatment node in actual implementation is sorted out and clarified to achieve orderly planning of medical treatment pathways.

[0028] In actual use, after matching the hospital's management rules, deployment is implemented, and full-process testing and verification are carried out before going online, and the optimization plan is adjusted based on the test and verification results.

[0029] Preferably, the method of obtaining the patient consultation data in S3 is:

[0030] Through API interfaces or database views, patients' medical data can be synchronously obtained and organized based on a single medical trip.

[0031] API interface and database view are two different ways of sharing data, each with its own characteristics and applicable scenarios.

[0032] API is a programmatic database interface that provides access and operations to the database in the form of functions or methods. It is usually used to develop database applications, such as websites, mobile applications, desktop applications, etc. Through API, developers can directly call database operations in the code without having to worry about the underlying database implementation details. API also provides a wealth of data processing functions, such as data filtering, sorting, paging, etc., allowing developers to process data more conveniently.

[0033] A database view is a virtual table created based on the query results of one or more database tables. Views are used to simplify data query and access, and provide a customized way to display data. Views contain specific columns and rows of data, which come from one or more associated tables. Unlike API interfaces, database views mainly provide read-only permissions for data, and cannot provide write permissions for data.

[0034] Preferably, the patient visit data includes registration information, pending payment information, paid information, report application form, test report and sign-in record.

[0035] Patient medical data includes all data of a patient's single medical trip, and all the single data is collected and stored for record.

[0036] Preferably, the specific steps of S4 are:

[0037] By obtaining the latest data on the medical consultation process, we can determine the patient's current node and the node execution status, display the content to be displayed at the current node according to the rules, and the operation buttons to be provided, and clarify the node status update logic.

[0038] If it is the day of the appointment and you have not signed in yet, the registration information will be displayed. If the sign-in time has not arrived, the sign-in time countdown will be prompted. When the sign-in time has arrived, the sign-in button will be displayed to guide the patient to the designated location to sign in.

[0039] Preferably, the specific steps of S5 are:

[0040] The flow rules between each node are clarified based on the patient's condition information, treatment category, treatment department, type of medical orders issued by the doctor, patient payment status, etc.

[0041] The paths and time consumption between hospital departments are estimated based on the distance configuration between departments and the current patient transportation methods (such as independent walking, support / crutches, wheelchair, bed) to accurately recommend patient treatment paths and check-in time nodes.

[0042] Preferably, the circulation rules include hospital resource reservation rules, hospital on-site triage management rules and hospital return visit management rules.

[0043] Hospital resource reservation rules (such as medical technology reservation management rules), such as outpatient patients going to the outpatient medical technology department for medical technology examinations and going to the outpatient test sampling window for sampling.

[0044] The hospital's on-site triage management rules require that sign-in start 30 minutes before the appointment time, and once you have passed the sign-in queue, you will be automatically moved to the end of the current time period.

[0045] According to the hospital's follow-up management rules, you can sign in for a follow-up visit once all or part of the report has been issued, and the rules will be prioritized when answering the sign-in question.

[0046] The beneficial effects of the present invention are:

[0047] When the present invention is in use, it ensures that the patient obtains the latest diagnosis and treatment information in real time during the medical treatment process. At the same time, according to the patient's current medical treatment node, the patient is correctly guided to the next medical treatment link to receive medical services, and completes related appointments, sign-ins, payments, evaluations and other operations by himself, and checks related precautions and reminders, thereby simplifying the medical treatment process and comprehensively improving the patient's medical experience. At the same time, by recording the entry time, duration and end time of each node in the entire process of the patient's medical treatment, the overall medical treatment process efficiency is counted in the management background, and possible blockages, card points and causes are analyzed, thereby providing effective data support for the management decisions of hospital leaders, which is conducive to popularization and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 This is a comparison chart of the existing smart hospital information system and the outpatient medical treatment process optimized by this technology;

[0050] Figure 2 It is the technical roadmap of the present invention;

[0051] Figure 3 It is an implementation flow chart of the present invention. DETAILED DESCRIPTION

[0052] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, and preferably the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0053] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0054] See also Figures 1 to 3 The present invention provides an algorithm for convenient medical path planning for hospital patients, comprising the following steps:

[0055] S1: Analyze the medical treatment process and decompose the medical treatment nodes;

[0056] S2: Sort out the medical consultation nodes and clarify the order;

[0057] S3: Obtain all the patient visit data;

[0058] S4: Automatically determine the patient’s current visit node;

[0059] S5: Configure the flow rules of the medical consultation node in the background.

[0060] The specific steps of S1 are:

[0061] ①. All links in the patient's actual medical process are broken down into medical nodes, covering the nodes before, during and after the medical consultation;

[0062] ②. Clarify the node entry conditions, end conditions, patient participation content, etc., and establish a complete outpatient treatment pathway as the basic data for recommendation guidelines;

[0063] ③. Sort out and refine the data sources, operation contents, display contents, data destinations, etc. of the medical consultation nodes, and establish complete business logic and data logic as the basic logic for recommendation guidelines.

[0064] The specific steps of S2 are:

[0065] Based on clinical rules and management rules related to diagnosis and treatment, combined with the layout of hospital departments, the order of each medical treatment node in actual implementation is sorted out and clarified to achieve orderly planning of medical treatment pathways.

[0066] The method of obtaining patient consultation data in S3 is:

[0067] Through API interfaces or database views, patients' medical data can be synchronously obtained and organized based on a single medical trip.

[0068] Patient medical data includes registration information, pending payment information, paid information, report application forms, test reports and sign-in records.

[0069] The specific steps of S4 are:

[0070] By obtaining the latest data on the medical consultation process, we can determine the patient's current node and the node execution status, display the content to be displayed at the current node according to the rules, and the operation buttons to be provided, and clarify the node status update logic.

[0071] The specific steps of S5 are:

[0072] The flow rules between each node are clarified based on the patient's condition information, treatment category, treatment department, type of medical orders issued by the doctor, patient payment status, etc.

[0073] The circulation rules include hospital resource reservation rules, hospital on-site triage management rules, and hospital follow-up management rules. Specific embodiment one:

[0075] In this embodiment:

[0076] First, decomposition of the medical treatment process: by analyzing all the links in the actual medical treatment process of clinical patients in the current hospital, breaking them down into medical treatment nodes, clarifying the node entry conditions, end conditions, patient participation content, etc., and establishing a complete outpatient medical treatment path as the basic data for recommendation guidance;

[0077] Secondly, sort out the consultation nodes: Based on the consultation nodes decomposed in the previous step, sort out and refine the node data source, operation content, display content, data destination, etc., and establish a complete business logic and data logic as the basic logic of the recommendation guide;

[0078] Then, configure the flow rules: define the flow rules between nodes based on the patient's condition information, treatment category, treatment department, type of doctor's prescription, and patient payment status. For example, outpatient patients can enter the medical technology inspection node only after paying the fee in the clinic, and can enter the return visit node only after the medical technology report is issued.

[0079] Finally, the background configures the treatment node flow rules to form a complete prompt for recommended guidelines.

[0080] What is disclosed above is only a preferred embodiment of the present invention, and it certainly cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made according to the claims of the present invention still fall within the scope of the invention.

Claims

1. An algorithm for planning a convenient medical path for hospital patients, characterized in that: The following steps are involved: S1: Analyze the medical treatment process and decompose the medical treatment nodes; S2: Sort out the medical consultation nodes and clarify the order; S3: Obtain all the patient visit data; S4: Automatically determine the patient’s current visit node; S5: Configure the flow rules of the medical consultation node in the background.

2. The algorithm for convenient medical treatment route planning for hospital patients as claimed in claim 1, characterized in that: The specific steps of S1 are: ①. All links in the patient's actual medical process are broken down into medical nodes, covering the nodes before, during and after the medical consultation; ②. Clarify the node entry conditions, end conditions, patient participation content, etc., and establish a complete outpatient treatment pathway as the basic data for recommendation guidelines; ③. Sort out and refine the data sources, operation contents, display contents, data destinations, etc. of the medical consultation nodes, and establish complete business logic and data logic as the basic logic for recommendation guidelines.

3. The algorithm for convenient medical treatment route planning for hospital patients as claimed in claim 1, characterized in that: The specific steps of S2 are: Based on clinical rules and management rules related to diagnosis and treatment, combined with the layout of hospital departments, the order of each medical treatment node in actual implementation is sorted out and clarified to achieve orderly planning of medical treatment pathways.

4. The algorithm for convenient medical treatment route planning for hospital patients according to claim 1, characterized in that: The method of obtaining the patient consultation data in S3 is: Through API interfaces or database views, patients' medical data can be synchronously obtained and organized based on a single medical trip.

5. The algorithm for convenient medical treatment route planning for hospital patients as claimed in claim 4, characterized in that: The patient visit data includes registration information, pending payment information, paid information, report application form, test report and sign-in record.

6. The algorithm for convenient medical treatment route planning for hospital patients according to claim 1, characterized in that: The specific steps of S4 are: By obtaining the latest data on the medical consultation process, we can determine the patient's current node and the node execution status, display the content to be displayed at the current node according to the rules, and the operation buttons to be provided, and clarify the node status update logic.

7. The algorithm for convenient medical treatment route planning for hospital patients according to claim 1, characterized in that: The specific steps of S5 are: The flow rules between each node are clarified based on the patient's condition information, treatment category, treatment department, type of medical orders issued by the doctor, patient payment status, etc.

8. The algorithm for convenient medical treatment route planning for hospital patients as claimed in claim 7, characterized in that: The circulation rules include hospital resource reservation rules, hospital on-site triage management rules and hospital return visit management rules.

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