Case process management system

Abstract

The invention provides a case process management system which comprises a server and a medical care terminal, the server is provided with a patient information management module, a treatment process management module, an examination result management module, a treatment scheme management module, an auditing module, a statistical analysis module and an interaction module, and the system is used for executing a case process management method. According to the system, the medical efficiency can be improved, automation and standardization of a case process are realized through systematic management including a patient information management module, a doctor seeing process management module, an examination result management module, a treatment scheme management module and the like, manual operation and repeated work of medical staff are greatly reduced, the overall efficiency of medical services is improved, and the workload of medical staff is reduced. The statistical analysis module can carry out in-depth statistical analysis on examination results and treatment schemes of patients, valuable information and trends are extracted, more comprehensive and scientific reference bases are provided for doctors, the treatment decision can be optimized, and the treatment effect can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of case flow systems, and in particular to a case flow management system. Background Art

[0002] In the medical field, case management is an important link between patients, doctors, medical institutions, and medical insurance. Its efficiency, accuracy, and safety are directly related to the quality of medical services and patient satisfaction. With the continuous advancement of medical technology and the rapid growth of medical data, the traditional paper case management model has gradually revealed its limitations, such as easy data loss, difficult retrieval, and cumbersome processes. These problems not only affect the efficiency of medical services, but may also have an adverse impact on the accuracy of medical decisions. Therefore, a case process management system is proposed to solve the above problems. Summary of the invention

[0003] In view of this, an object of the present invention is to provide a case flow management system to at least solve the above problems.

[0004] The technical solution adopted by the present invention is as follows:

[0005] A case flow management system, the system includes a server and a medical terminal, the server is provided with a patient information management module, a medical process management module, an examination result management module, a treatment plan management module, an audit module, a statistical analysis module, and an interaction module, the system is used to execute a case flow management method, the method includes the following steps:

[0006] S1. Obtain the basic patient data stored in the medical terminal through the patient information management module;

[0007] S2. Obtain patient medical data stored in the medical and nursing end through the medical process management module;

[0008] S3, obtaining the patient examination result data stored in the medical terminal through the examination result management module;

[0009] S4. Obtain the patient treatment plan data stored in the medical terminal through the treatment plan management module;

[0010] S5. Review the accuracy and compliance of patient test result data and patient treatment plan data through the review module;

[0011] S6. Performing statistical analysis on the patient examination result data and the patient treatment plan data through a statistical analysis module, and obtaining analysis results;

[0012] S7. The interactive module pairs patients based on the analysis results.

[0013] Furthermore, in step S1, the patient's basic data includes name, gender, contact information, allergy history and past medical history.

[0014] Furthermore, in step S2, the patient's medical data includes registration, triage, medical consultation, examination, and discharge data.

[0015] Furthermore, in step S3, the patient examination result data includes imaging, laboratory test, and pathology data.

[0016] Furthermore, in step S4, the treatment plan data includes diagnosis opinions, treatment plans, and medication instructions.

[0017] Furthermore, step S5 includes the following sub-steps:

[0018] S51, the audit module performs accuracy and compliance audit on the imaging, laboratory and pathological data in the patient examination result data. When any of the accuracy and compliance audit fails, the audit module performs a first mark on the patient examination result data and stores the first mark information in the server;

[0019] S52, the server sends the first marking information to the medical terminal, and obtains the physician who made the imaging, laboratory, and pathological data in the patient's examination result data through the medical terminal, and the physician re-examines the accuracy and compliance until the accuracy and compliance review is passed;

[0020] S53, the review module reviews the accuracy and compliance of the diagnosis opinion, treatment plan, and medication instructions in the patient treatment plan data. When any of the accuracy and compliance reviews fails, the review module performs a second mark on the patient treatment plan data and stores the second mark information in the server;

[0021] S54. The server sends the second marking information to the medical end, which obtains the physician who made the imaging, laboratory, and pathological data in the patient's examination result data, and the physician who obtained the diagnosis opinion, treatment plan, and medication guidance data in the patient's treatment plan data. The physicians of both parties re-examine the accuracy and compliance until the accuracy and compliance review is passed.

[0022] Further, in step S6, the patient examination result data and the patient treatment plan data are statistically analyzed by the statistical analysis module, and the analysis results are specifically obtained as follows:

[0023] The statistical analysis module divides the patient's imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication guidance data into dimensions, and performs similarity statistical analysis on each dimension. If the dimensional similarity of the imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication guidance data exceeds the preset dimensional similarity, a reference high-match analysis result is obtained; if it is lower than the preset dimensional similarity, a reference low-match analysis result is obtained.

[0024] Further, in step S7, the interaction module performs patient pairing according to the analysis results as follows:

[0025] The interactive module matches patients according to the reference high match analysis results and the reference low match analysis results.

[0026] Furthermore, for patients with matching reference high matching analysis results, the server obtains the registration, triage, consultation, examination, and discharge data in the patient's medical data, as well as the allergy history and past medical history in the patient's basic data for treatment case reference.

[0027] Furthermore, for patients matching the reference low-match analysis results, the server obtains the registration, triage, consultation, examination, and discharge data from the patient's medical data for treatment case reference.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention proposes a case process management system, which can improve medical efficiency: through systematic management, including modules such as patient information management, medical process management, examination result management and treatment plan management, the automation and standardization of case processes are realized, which greatly reduces the manual operations and repetitive work of medical staff and improves the overall efficiency of medical services.

[0030] The present invention proposes a case flow management system that can ensure data accuracy: the system is equipped with an audit module that is specifically responsible for auditing the accuracy and compliance of patient examination results and treatment plans. This step effectively avoids human errors and negligence, ensures the accuracy and reliability of medical data, and provides a solid data foundation for clinical decision-making.

[0031] The present invention proposes a case flow management system, which can optimize treatment decisions: the statistical analysis module can perform in-depth statistical analysis on patient examination results and treatment plans, extract valuable information and trends, and provide doctors with a more comprehensive and scientific reference basis, which helps to optimize treatment decisions and improve treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0033] Figure 1 It is a schematic diagram of the overall structure of a case process management system proposed in an embodiment of the present invention.

[0034] Figure 2 It is a flowchart of a case process management method implemented in a case process management system proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The enumerated embodiments are only used to explain the present invention and are not used to limit the scope of the present invention.

[0036] Reference Figure 1 and Figure 2 The present invention provides a case flow management system, the system includes a server and a medical terminal, the server is provided with a patient information management module, a medical process management module, an examination result management module, a treatment plan management module, an audit module, a statistical analysis module, and an interactive module, the system is used to execute a case flow management method, the method includes the following steps:

[0037] S1. Obtain the basic patient data stored in the medical terminal through the patient information management module;

[0038] S2. Obtain patient medical data stored in the medical and nursing end through the medical process management module;

[0039] S3, obtaining the patient examination result data stored in the medical terminal through the examination result management module;

[0040] S4. Obtain the patient treatment plan data stored in the medical terminal through the treatment plan management module;

[0041] S5. Review the accuracy and compliance of patient test result data and patient treatment plan data through the review module;

[0042] S6. Performing statistical analysis on the patient examination result data and the patient treatment plan data through a statistical analysis module, and obtaining analysis results;

[0043] S7. The interactive module pairs patients based on the analysis results.

[0044] Exemplarily, in order to improve the overall efficiency of medical services and optimize treatment decisions, the basic data of patients stored in the medical and nursing end can be obtained through the patient information management module to provide a basis for subsequent analysis and treatment, and the patient visit data stored in the medical and nursing end can be obtained through the medical visit process management module to understand the patient's current health status and disease progression. The patient examination result data stored in the medical and nursing end can be obtained through the examination result management module to diagnose the disease, assess the condition and formulate a treatment plan. The patient treatment plan data stored in the medical and nursing end can be obtained through the treatment plan management module to extract the specific treatment plan for the patient in order to understand the patient's condition and the doctor to make a professional judgment. The patient test result data and the patient treatment plan data can be reviewed for accuracy and compliance through the review module to ensure the safety of the patient. The patient examination result data and the patient treatment plan data can be statistically analyzed through the statistical analysis module, and the analysis results can be obtained to provide a scientific basis for subsequent medical decisions. The interactive module can also pair patients based on the analysis results to classify patients with similar conditions, treatment plans or treatment effects, so as to conduct more efficient medical resource allocation, clinical trial recruitment or treatment effect comparison research.

[0045] In step S1, the patient's basic data includes name, gender, contact information, allergy history and past medical history.

[0046] For example, the name, gender, contact information, allergy history and medical history in the patient's basic data can provide the necessary basic information for subsequent medical treatment processes, test result analysis, treatment plan formulation and patient matching.

[0047] In step S2, the patient's medical data includes registration, triage, medical consultation, examination, and discharge data.

[0048] For example, the registration, triage, consultation, examination and data in the patient's medical treatment data are used to understand the patient's condition, formulate a treatment plan, and evaluate the quality of medical care and patient satisfaction.

[0049] In step S3, the patient examination result data includes imaging, laboratory test, and pathology data.

[0050] For example, imaging data can be image data of the patient's internal structure obtained by medical imaging equipment such as X-ray machines, CT, MRI, ultrasound, etc., laboratory data can be obtained by collecting samples of the patient's blood, urine, tissue fluid, etc., and conducting biochemical, immunological, microbiological and other experimental tests, and pathological data can be obtained through pathological examinations. Pathological data plays an important role in formulating personalized treatment plans, predicting disease progression, and evaluating treatment effects.

[0051] In step S4, the treatment plan data includes diagnosis opinion, treatment plan, and medication instructions.

[0052] For example, the diagnosis opinion can be based on the patient's medical history, physical examination results, examination results such as imaging, laboratory tests, pathology, etc. After comprehensive analysis, the name, type, and key information of the patient's disease can be obtained, which can provide a basis for the subsequent formulation of a treatment plan. The treatment plan can be based on the diagnosis opinion and combined with the patient's specific conditions such as age, gender, physical condition, and economic conditions to formulate a personalized treatment plan. Treatment plans may include surgical treatment, drug therapy, radiotherapy, physical therapy, psychotherapy, and other means. Medication guidance may include information such as the name, dosage, usage, medication time, medication precautions, and possible side effects of the drug. Doctors need to inform patients in detail how to use the drug correctly to ensure the therapeutic effect of the drug and reduce the occurrence of adverse reactions. At the same time, doctors also need to pay attention to patients' medication reactions and adjust medication plans in time to adapt to changes in patients' conditions.

[0053] Step S5 includes the following sub-steps:

[0054] S51, the audit module performs accuracy and compliance audit on the imaging, laboratory and pathological data in the patient examination result data. When any of the accuracy and compliance audit fails, the audit module performs a first mark on the patient examination result data and stores the first mark information in the server;

[0055] S52, the server sends the first marking information to the medical terminal, and obtains the physician who made the imaging, laboratory, and pathological data in the patient's examination result data through the medical terminal, and the physician re-examines the accuracy and compliance until the accuracy and compliance review is passed;

[0056] S53, the review module reviews the accuracy and compliance of the diagnosis opinion, treatment plan, and medication instructions in the patient treatment plan data. When any of the accuracy and compliance reviews fails, the review module performs a second mark on the patient treatment plan data and stores the second mark information in the server;

[0057] S54. The server sends the second marking information to the medical end, which obtains the physician who made the imaging, laboratory, and pathological data in the patient's examination result data, and the physician who obtained the diagnosis opinion, treatment plan, and medication guidance data in the patient's treatment plan data. The physicians of both parties re-examine the accuracy and compliance until the accuracy and compliance review is passed.

[0058] Exemplarily, the audit module conducts accuracy and compliance audits on the imaging, laboratory, and pathology data in the patient's examination result data, which can ensure the accuracy and compliance of the imaging, laboratory, and pathology data to ensure the reliability of the diagnosis. The audit module can automatically or manually check whether these data comply with established medical standards and regulatory requirements. When problems are found in the accuracy or compliance of the data, the audit module will first mark the data and store this marking information in the server for subsequent tracking and processing; the medical end responds to the first marking information, and the server sends the first marking information to the medical end, notifying relevant personnel that there is a problem with the data and re-reviewing it. The physician who generated the imaging, laboratory, and pathology data can be traced back through the medical end. The physician is required to re-review his data until the accuracy and compliance requirements are met, thereby ensuring the data quality. Continuous improvement reduces misdiagnosis or improper treatment caused by data errors; the review module reviews patient treatment plan data to ensure the accuracy and compliance of diagnostic opinions, treatment plans, and medication instructions to ensure patient safety and treatment effectiveness. Similar to the review of examination result data, the review module conducts a comprehensive inspection. If any non-compliance is found, a second mark will be made and the mark information will be stored in the server; the medical side responds to the second mark information, and the server sends the second mark information to the medical side. At the same time, it needs to be traced back to the physician who generated the imaging, laboratory, and pathology data, as well as the physician who formulated the diagnostic opinions, treatment plans, and medication instructions. These two types of physicians need to work together to review the relevant data and treatment plans to ensure the accuracy and compliance of all information, thereby promoting communication and collaboration between medical teams and helping to improve the overall quality of medical services.

[0059] In step S6, the patient examination result data and the patient treatment plan data are statistically analyzed by the statistical analysis module, and the analysis results are specifically as follows:

[0060] The statistical analysis module divides the patient's imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication guidance data into dimensions, and performs similarity statistical analysis on each dimension. If the dimensional similarity of the imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication guidance data exceeds the preset dimensional similarity, a reference high-match analysis result is obtained; if it is lower than the preset dimensional similarity, a reference low-match analysis result is obtained.

[0061] Exemplarily, the statistical analysis module divides the patient's imaging, laboratory, pathology, diagnostic opinion, treatment plan, and medication guidance data into detailed dimensions. For example, imaging data is divided according to dimensions such as lesion site, lesion type, and imaging characteristics; laboratory data is divided according to dimensions such as biochemical indicators, immunological indicators, and microbiological indicators; pathological data is divided according to dimensions such as cell morphology, tissue structure, and immunohistochemistry results. Diagnostic opinions, treatment plans, and medication guidance can also be divided according to dimensions such as disease type, treatment goals, and drug types. After completing the dimensional division, the statistical analysis module performs similarity statistical analysis on the data in each dimension, that is, compares the data differences between different patients on the same dimension. In order to determine whether the similarity between the data is high enough to produce analysis results with reference value, the statistical analysis module sets a preset dimensional similarity threshold. This threshold is determined based on professional knowledge, historical data analysis, and medical practice experience. It aims to distinguish data combinations with high similarity and potential reference value. According to the results of similarity statistical analysis, the statistical analysis module will generate a corresponding analysis report. If the similarity between data dimensions such as imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication instructions exceeds the preset dimension similarity threshold, it is considered that there is a high degree of correlation or consistency between these data, thereby obtaining a highly referenceable matching analysis result, which helps doctors discover new characteristics of the disease, optimize treatment plans, or predict treatment effects. On the contrary, if the similarity is lower than the preset threshold, it is considered that the correlation between these data is not strong or there are significant differences, thereby obtaining a low-reference matching analysis result. Although such results cannot be used directly to guide clinical practice, they can prompt doctors to further explore the reasons behind the data or consider other factors.

[0062] In step S7, the interaction module performs patient pairing according to the analysis results as follows:

[0063] The interactive module matches patients according to the reference high match analysis results and the reference low match analysis results.

[0064] For example, the interactive module can provide patients with more accurate and personalized medical services by matching patients based on the analysis results, thereby helping doctors to discover best practices and room for improvement, and also helping to improve the utilization efficiency of medical resources and the treatment effects of patients.

[0065] For patients with matching reference high matching analysis results, the server obtains the registration, triage, consultation, examination, and discharge data from the patient's medical data, as well as the allergy history and past medical history from the patient's basic data for treatment case reference.

[0066] For example, for patients who match the reference high-match analysis results, the server can collect comprehensive medical data of these patients, including information on registration, triage, consultation, examination, discharge, etc. At the same time, it will also obtain the patient's basic data, especially allergy history and past medical history. Based on the collected data, the server will generate detailed treatment case references, and focus on displaying historical cases that are highly similar to the current patient, including their treatment process, medication, treatment effects, and possible complications. Doctors can find the most suitable treatment plan for the current patient by comparing these cases.

[0067] For patients with matching reference low-match analysis results, the server obtains the registration, triage, consultation, examination, and discharge data from the patient's medical data for treatment case reference.

[0068] For example, for patients who are matched with reference low match analysis results, the server obtains the registration, triage, consultation, examination, and discharge data from the patient's medical data for treatment case reference. These cases may come from different types of diseases or treatment processes, but have certain reference value. Doctors can analyze these cases to find possible treatment directions or avoid potential medical traps.

[0069] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A case flow management system, characterized in that: The system includes a server and a medical terminal. The server is provided with a patient information management module, a medical process management module, an examination result management module, a treatment plan management module, an audit module, a statistical analysis module, and an interaction module. The system is used to execute a case process management method, and the method includes the following steps: S1. Obtain the basic patient data stored in the medical terminal through the patient information management module; S2. Obtain patient medical data stored in the medical and nursing end through the medical process management module; S3, obtaining the patient examination result data stored in the medical terminal through the examination result management module; S4. Obtain the patient treatment plan data stored in the medical terminal through the treatment plan management module; S5. Review the accuracy and compliance of patient test result data and patient treatment plan data through the review module; S6. Performing statistical analysis on the patient examination result data and the patient treatment plan data through a statistical analysis module, and obtaining analysis results; S7. The interactive module pairs patients based on the analysis results.

2. A case flow management system according to claim 1, characterized in that: In step S1, the patient's basic data includes name, gender, contact information, allergy history and past medical history.

3. A case flow management system according to claim 2, characterized in that: In step S2, the patient's medical data includes registration, triage, medical consultation, examination, and discharge data.

4. A case flow management system according to claim 3, characterized in that: In step S3, the patient examination result data includes imaging, laboratory test, and pathology data.

5. A case flow management system according to claim 4, characterized in that: In step S4, the treatment plan data includes diagnosis opinion, treatment plan, and medication instructions.

6. A case flow management system according to claim 5, characterized in that: Step S5 includes the following sub-steps: S51, the audit module performs accuracy and compliance audit on the imaging, laboratory and pathological data in the patient examination result data. When any of the accuracy and compliance audit fails, the audit module performs a first mark on the patient examination result data and stores the first mark information in the server; S52, the server sends the first marking information to the medical terminal, and obtains the physician who made the imaging, laboratory, and pathological data in the patient's examination result data through the medical terminal, and the physician re-examines the accuracy and compliance until the accuracy and compliance review is passed; S53, the review module reviews the accuracy and compliance of the diagnosis opinion, treatment plan, and medication instructions in the patient treatment plan data. When any of the accuracy and compliance reviews fails, the review module performs a second mark on the patient treatment plan data and stores the second mark information in the server; S54. The server sends the second marking information to the medical end, which obtains the physician who made the imaging, laboratory, and pathological data in the patient's examination result data, and the physician who obtained the diagnosis opinion, treatment plan, and medication guidance data in the patient's treatment plan data. The physicians of both parties re-examine the accuracy and compliance until the accuracy and compliance review is passed.

7. A case flow management system according to claim 6, characterized in that: In step S6, the patient examination result data and the patient treatment plan data are statistically analyzed by the statistical analysis module, and the analysis results are specifically as follows: The statistical analysis module divides the patient's imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication guidance data into dimensions, and performs similarity statistical analysis on each dimension. If the dimensional similarity of the imaging, laboratory tests, pathology, diagnostic opinions, treatment plans, and medication guidance data exceeds the preset dimensional similarity, a reference high-match analysis result is obtained; if it is lower than the preset dimensional similarity, a reference low-match analysis result is obtained.

8. A case flow management system according to claim 7, characterized in that: In step S7, the interaction module performs patient pairing according to the analysis results as follows: The interactive module matches patients according to the reference high match analysis results and the reference low match analysis results.

9. A case flow management system according to claim 8, characterized in that: For patients with matching reference analysis results, the server obtains the registration, triage, consultation, examination, and discharge data from the patient's medical data, as well as the allergy history and past medical history from the patient's basic data for treatment case reference.

10. A case flow management system according to claim 8, characterized in that: For patients with matching reference low-match analysis results, the server obtains the registration, triage, consultation, examination, and discharge data from the patient's medical data for treatment case reference.

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