Hospital flow monitoring system

Abstract

The invention provides a hospital flow monitoring system, and relates to the technical field of medical systems, and the hospital flow monitoring system comprises the following operation steps: S1, a patient enters a hospital, inputs identity information, and clicks a start button through a self-service terminal; s2, the patient is inquired to fill in a pre-inquiry questionnaire in a self-service mode through the pre-inquiry program; s3, after the pre-inquiry questionnaire table is filled in, the pre-inquiry questionnaire table is subjected to department distribution after system identification; s4, the patient is shunted to a fever outpatient service, a doctor carries out preliminary diagnosis, and pre-inquiry is finished. According to the method, intelligent sign-in enqueue and intelligent shunting of the patients are realized by distinguishing the treatment types of the patients, the medical care working efficiency is improved and reasonable shift arrangement can be realized through flow monitoring analysis and information interconnection and intercommunication, the diagnosis and treatment pressure of medical personnel is reduced, and the diagnosis and treatment service of'one doctor, one patient and one doctor 'is implemented by grouping the admission of the patients, so that the diagnosis and treatment efficiency is improved. And the fever outpatient service order is optimized, the service quality is improved, resource allocation is balanced, and the medical experience of patients is greatly improved.

Description

Technical Field

[0001] This invention belongs to the field of medical system technology, and more specifically, relates to a hospital traffic monitoring system. Background Technology

[0002] The hospital triage and queuing management system is a computer-based system developed by our company after extensive research on hospital environment, treatment process, and workflow. It can effectively solve problems such as disorderly patient queuing, unbalanced doctor workload, and noisy environment. The entire system consists of a triage station, a subsystem management and control computer (integrated with the triage station), a system server, a management console, information node machines, information display screens, a voice controller, passive speakers, call terminals (physical or virtual terminals), and junction boxes.

[0003] Based on the above, the inventors have discovered the following problems: Due to the large number of patients, the congestion is more severe than usual, resulting in lower patient satisfaction; the increased pressure on diagnosis and treatment requires doctors to differentiate between different viruses to ensure that patients receive the correct treatment, which further increases the pressure on diagnosis and treatment; the limited resources of medical staff in fever clinics, coupled with the large number of patients, have led to a shortage of medical resources, and medical staff are unable to get effective shift changes and rest due to long hours of high-intensity diagnosis and treatment work.

[0004] Therefore, in view of this, we will study and improve the existing structure and its shortcomings to provide a hospital traffic monitoring system, in order to achieve a more practical value. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a hospital patient flow monitoring system to resolve the issues of increasing medical pressure and unbalanced resource allocation.

[0006] The purpose and effectiveness of the hospital traffic monitoring system of the present invention are achieved by the following specific technical means:

[0007] A hospital traffic monitoring system includes the following operating steps:

[0008] S1: The patient arrives at the hospital, enters their identity information, and clicks the start button at the self-service terminal;

[0009] S2: The pre-consultation process allows patients to fill out the pre-consultation questionnaire themselves;

[0010] S3: After completing the pre-consultation questionnaire, the system will identify the patient and assign them to the appropriate department.

[0011] S4: Patients are triaged to the fever clinic, where doctors conduct initial consultations and the preliminary consultation ends;

[0012] S5: If the patient cannot be referred to the fever clinic, it is recommended that they go to other departments for treatment. Pre-consultation ends.

[0013] S6: After completing step S4 above, proceed to the post-diagnosis monitoring procedure;

[0014] S7: The post-diagnosis monitoring program provides multi-dimensional report analysis.

[0015] Furthermore, the multi-dimensional report analysis in step S7 includes the following steps:

[0016] S8: Perform time-segmented diagnosis and treatment analysis via the intranet;

[0017] S9: Analyze the registered diseases for hospital admissions via the intranet;

[0018] S10: Analyze the source of patients input via the intranet;

[0019] S11: Monitor patient queuing status via the intranet and provide real-time alerts for queuing patients;

[0020] S12: Perform intelligent physician scheduling analysis based on real-time physician visit information.

[0021] Furthermore, step S2 also includes the following steps:

[0022] S13: When patients are able to fill out the pre-consultation questionnaire themselves, they can fill out the pre-consultation questionnaire at the self-service terminal;

[0023] S14: After the patient completes the pre-consultation questionnaire, the system will identify the patient and assign them to the appropriate department.

[0024] S15: When patients are unable to fill out the pre-consultation questionnaire themselves, they can have it recorded on their behalf through the pre-screening questionnaire platform.

[0025] S16: By asking for the patient's identity information and past medical records, the pre-consultation platform inputs the patient's condition, and the system intelligently analyzes the relevant condition information during the pre-consultation.

[0026] Furthermore, during the processing step S4, the doctor can fill in relevant patient data while conducting diagnosis and treatment, so as to facilitate subsequent follow-up grouping and improve follow-up efficiency.

[0027] Furthermore, the real-time queue patient early warning system in step S11 includes a display terminal device and a back-end server.

[0028] Furthermore, the backend server includes an acquisition module and a processing module. The acquisition module can acquire patient traffic in real time and input the acquired patient traffic into the backend server.

[0029] Furthermore, the backend server inputs the acquired patient traffic into the processing module, sets a threshold in the processing module, compares the patient traffic with the set threshold, and when the patient traffic exceeds the threshold, sends the information back to the backend server. The backend server then sends the information to the display terminal device, which displays an alert.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] This invention distinguishes between different types of patients seeking medical care, enabling intelligent check-in and triage. Through traffic monitoring and analysis and information interconnection, it improves the efficiency of medical staff and allows for reasonable scheduling, reducing the treatment pressure on medical staff. By grouping patients upon entry, it implements the "one doctor, one patient, one consultation" service, optimizes the order of fever clinic visits, improves service quality, balances resource allocation, and greatly improves the patient's medical experience. Attached Figure Description

[0032] Figure 1 This is a schematic flowchart of the overall process of a hospital traffic monitoring system according to the present invention.

[0033] Figure 2 This is a schematic diagram of the multi-dimensional report analysis process of a hospital traffic monitoring system according to the present invention.

[0034] Figure 3 This is a schematic diagram of the real-time queuing patient early warning process of a hospital traffic monitoring system according to the present invention.

[0035] Figure 4 This is a schematic diagram showing the comparison of the daily number of patients visiting a fever clinic in a hospital traffic monitoring system according to the present invention with the same period last year.

[0036] Figure 5 This is a schematic diagram showing the comparison of daily visit times for fever clinic patients in a hospital traffic monitoring system according to the present invention. Detailed Implementation

[0037] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention.

[0038] In the description of this invention, unless otherwise stated, "a plurality of" means two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," "tail," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0039] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0040] Example:

[0041] As attached Figures 1 to 5 As shown:

[0042] This invention provides a hospital traffic monitoring system, comprising the following operating steps:

[0043] S1: When a patient arrives at the hospital, they enter their identity information, click the start button on the self-service terminal, access the pre-consultation program by scanning a QR code, and then click the start button to operate on the self-service terminal. Simply click the start button corresponding to the displayed device to begin the operation.

[0044] S2: The pre-consultation procedure asks patients if they can fill out the pre-consultation questionnaire themselves. The pre-consultation questionnaire includes the patient's physical condition, physical discomfort, and past medical history.

[0045] S3: After the pre-consultation questionnaire is completed, it will be identified by the system and then assigned to a specific department. The patient's pre-consultation questionnaire information will be seamlessly integrated into the hospital's medical information system as medical record information through the interconnected big data platform, reducing doctor-patient interaction and medical record writing time, and improving consultation efficiency.

[0046] S4: Patients are triaged to the fever clinic, where doctors conduct initial consultations and the preliminary consultation ends;

[0047] S5: If a patient cannot be referred to the fever clinic, the patient's pre-consultation questionnaire information will be seamlessly connected to the hospital's medical information system as medical record information through the interconnected big data platform. The system will assess whether the patient meets the criteria for a fever clinic and recommend that the patient visit another department. The pre-consultation will then end.

[0048] S6: After completing step S4 above, proceed to the post-diagnosis monitoring procedure;

[0049] S7: The post-diagnosis monitoring program provides multi-dimensional report analysis. It analyzes the diagnosis and treatment situation in different time periods, the types of diseases registered, the source of patients, the queuing situation of patients, and the scheduling of doctors in real time to ensure the smooth operation between medical staff and patients.

[0050] Furthermore, the multi-dimensional report analysis in step S7 includes the following steps:

[0051] S8: By performing time-segmented diagnosis and treatment analysis through the intranet, the waiting time for first-time patients can be effectively reduced, and patient satisfaction can be improved.

[0052] S9: By analyzing the registered diseases for admission through the intranet, we can understand the patients' illness status, avoid the risk of cross-infection of the virus among patients caused by a large number of patients gathering, and reduce the complaint rate of fever clinics and also affect the speed of doctors' consultations.

[0053] S10: Analyze the source of patients input via the intranet;

[0054] S11: Monitor patient queuing status via the intranet and provide real-time alerts for queuing patients;

[0055] S12: Based on the real-time consultation situation of doctors, intelligent doctor scheduling analysis is performed. A large number of patients seeking medical treatment causes a shortage of medical resources. Medical staff work long hours and high-intensity medical work without being able to get effective shift changes and rest. Through intelligent doctor scheduling analysis, the rest of medical staff can be guaranteed.

[0056] Furthermore, step S2 also includes the following steps:

[0057] S13: When patients are able to fill out the pre-consultation questionnaire themselves, they can fill out the pre-consultation questionnaire at the self-service terminal;

[0058] S14: After the patient completes the pre-consultation questionnaire, the system will identify the patient and assign them to the appropriate department.

[0059] S15: When patients are unable to fill out the pre-consultation questionnaire themselves, they can have it recorded on their behalf through the pre-screening questionnaire platform.

[0060] S16: By asking for the patient's identity information and past medical records, the pre-consultation platform inputs the patient's condition, and the system intelligently analyzes the relevant condition information during the pre-consultation.

[0061] Furthermore, during the processing step S4, the doctor can fill in relevant patient data while conducting diagnosis and treatment, so as to facilitate subsequent follow-up grouping and improve follow-up efficiency.

[0062] Furthermore, the real-time queue patient early warning system in step S11 includes a display terminal device and a back-end server.

[0063] Furthermore, the backend server includes an acquisition module and a processing module. The acquisition module can acquire patient traffic in real time and input the acquired patient traffic into the backend server.

[0064] Furthermore, the backend server inputs the acquired patient traffic into the processing module, sets a threshold in the processing module, compares the patient traffic with the set threshold, and when the patient traffic exceeds the threshold, sends the information back to the backend server. The backend server then sends the information to the display terminal device, which displays an alert.

[0065] A fever clinic traffic monitoring system was developed to manage patient entry and data flow, improving the efficiency of follow-up visits. Patients fill out a pre-diagnosis form upon arrival, and the system manages entry according to disease type and urgency. Through intelligent analysis of pre-diagnosis information, orderly patient visits are achieved. Doctors can supplement relevant patient data during consultations for subsequent follow-up grouping, improving efficiency. Addressing physician workload and medical resource constraints, a multi-dimensional monitoring and analysis system for the treatment process was developed using BI tools: intelligent scheduling of doctor and nurse shifts for rational allocation of medical resources; monitoring the frequency of each disease to facilitate the timely creation of specialized medical record templates; and regional analysis of visiting patients to aid management decision-making.

[0066] The specific usage and function of this embodiment are as follows:

[0067] In this invention, the patient first arrives at the hospital, enters their identity information, and clicks the start button on a self-service terminal. The pre-consultation process asks the patient if they can fill out the pre-consultation questionnaire themselves. If the patient can, they can fill it out on the self-service terminal. After completing the questionnaire, the system identifies the patient and assigns them to a specific department. If the patient cannot fill out the questionnaire themselves, a pre-screening questionnaire platform can be used to record it on their behalf. The system asks for the patient's identity information and past medical records, inputs the patient's condition into the pre-consultation platform, and intelligently analyzes the relevant medical information. After completing the questionnaire, the system identifies the patient and assigns them to a specific department. If the patient is assigned to the fever clinic, a doctor conducts an initial consultation. If the pre-consultation ends and the patient cannot be assigned to the fever clinic, they are advised to visit another department. After completing the above S4 steps, the patient enters the post-consultation monitoring program, which involves multi-dimensional report analysis.

[0068] Multi-dimensional reporting analysis is performed through the intranet, analyzing treatment outcomes by time period. This includes analyzing registered inpatient diseases and the source of patient data, monitoring patient queuing, providing real-time alerts, and performing intelligent physician scheduling based on real-time physician attendance. The backend server acquires patient traffic in real-time, inputting it into a processing module. This module sets thresholds and compares patient traffic to these thresholds. If traffic exceeds the threshold, the information is sent back to the backend server, which then transmits it to a display terminal for alerts. In case of an alert, additional medical staff are notified, effectively reducing patient waiting time. Figure 4 and Figure 5 The comparison of the daily number of patients visiting fever clinics with the same period last year and the daily consultation time of patients visiting fever clinics with the same period last year shows that the clinic can effectively increase the number of patients received.

[0069] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A hospital traffic monitoring system, characterized in that: The following steps are included: S1: The patient arrives at the hospital, enters their identity information, and clicks the start button at the self-service terminal; S2: The pre-consultation process allows patients to fill out the pre-consultation questionnaire themselves; S3: After completing the pre-consultation questionnaire, the system will identify the patient and assign them to the appropriate department. S4: Patients are triaged to the fever clinic, where doctors conduct initial consultations and the preliminary consultation ends; S5: If the patient cannot be referred to the fever clinic, it is recommended that they go to other departments for treatment. Pre-consultation ends. S6: After completing step S4 above, proceed to the post-diagnosis monitoring procedure; S7: The post-diagnosis monitoring program provides multi-dimensional report analysis.

2. The hospital traffic monitoring system as described in claim 1, characterized in that: The multi-dimensional report analysis in step S7 includes the following steps: S8: Perform time-segmented diagnosis and treatment analysis via the intranet; S9: Analyze the registered diseases for hospital admissions via the intranet; S10: Analyze the source of patients input via the intranet; S11: Monitor patient queuing status via the intranet and provide real-time alerts for queuing patients; S12: Perform intelligent physician scheduling analysis based on real-time physician visit data.

3. The hospital traffic monitoring system as described in claim 1, characterized in that: Step S2 further includes the following steps: S13: When patients are able to fill out the pre-consultation questionnaire themselves, they can fill out the pre-consultation questionnaire at the self-service terminal; S14: After the patient completes the pre-consultation questionnaire, the system will identify the patient and assign them to the appropriate department. S15: When patients are unable to fill out the pre-consultation questionnaire themselves, they can have it recorded on their behalf through the pre-screening questionnaire platform. S16: By asking for the patient's identity information and past medical records, the pre-consultation platform inputs the patient's condition, and the system intelligently analyzes the relevant condition information during the pre-consultation.

4. The hospital traffic monitoring system as described in claim 1, characterized in that: During step S4, doctors can fill in relevant patient data while conducting diagnosis and treatment, so as to facilitate subsequent follow-up grouping and improve follow-up efficiency.

5. The hospital traffic monitoring system as described in claim 2, characterized in that: The real-time queue patient early warning system in step S11 includes a display terminal device and a back-end server.

6. The hospital traffic monitoring system as described in claim 5, characterized in that: The backend server includes an acquisition module and a processing module. The acquisition module can acquire patient traffic in real time and input the acquired patient traffic into the backend server.

7. The hospital traffic monitoring system as described in claim 6, characterized in that: The backend server inputs the acquired patient traffic into the processing module, sets a threshold in the processing module, compares the patient traffic with the set threshold, and when the patient traffic exceeds the threshold, sends the information back to the backend server. The backend server then sends the information to the display terminal device, which displays an alert.

Images