Intelligent physiological sign parameter management auxiliary system

Abstract

The invention discloses an intelligent physiological sign parameter management auxiliary system, and particularly relates to the field of medical data monitoring and management.The system comprises an evaluation unit, the evaluation unit comprises a monitoring module used for sensing and recording physiological sign parameters of a patient, and the monitoring module is electrically connected with an acquisition module used for data acquisition; the acquisition module is electrically connected with an input module used for inputting basic health conditions and monitoring symptoms of patients. Physiological data and personal actual sign data of a patient are collected, then symptom evaluation is conducted on the patient through previous stored data, diagnosis of the disease of the patient is completed under cooperation of an online doctor, and therefore the characteristic data of the patient can be recorded and stored, and the diagnosis accuracy of the patient is improved. Therefore, reliable data support is provided for subsequent diagnosis, data stored in the database end can be analyzed and evaluated through the management unit, and therefore disease performance and severity of different patients can be obtained.

Description

Technical Field

[0001] The present invention relates to the field of medical data monitoring and management, and in particular to an intelligent physiological sign parameter management auxiliary system. Background Art

[0002] Physiological sign parameters are important indicators for assessing individual health conditions, including heart rate, respiratory rate, blood pressure, body temperature, pupil diameter, skin temperature and color, etc. These parameters reflect the balance between the human body's internal and external environments, and are essential for diagnosing diseases, monitoring treatment effects, and maintaining health. However, in the prior art, medical staff observe and record physiological sign parameters of a patient mostly to assist in the diagnosis of the patient's symptoms and subsequent treatment, and do not analyze and store the monitored physiological sign parameters. However, with the rapid increase in the number of patients and the relatively slow increase in the number of medical staff, the medical monitoring and diagnosis time available to each patient is relatively reduced. At the same time, medical staff cannot use the existing reference physiological sign parameter data to assist in the diagnosis and treatment of patients, which leads to low efficiency in the diagnosis and treatment of patients and increases the operating pressure of the medical system. At this time, an intelligent physiological sign parameter management auxiliary system is needed to solve the above problems. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings existing in the prior art. In the prior art, medical staff observe and record the physiological sign parameters of a patient mostly to assist the patient's disease diagnosis and subsequent treatment, and do not analyze and store the monitored physiological sign parameters. However, with the rapid increase in the number of patients and the relatively slow increase in the number of medical staff, the medical monitoring and diagnosis time available to each patient is relatively reduced. At the same time, medical staff cannot use the existing reference physiological sign parameter data to assist in the diagnosis and treatment of patients, which leads to low efficiency in the diagnosis and treatment of patients and increases the operating pressure of the medical system. At this time, an intelligent physiological sign parameter management auxiliary system is needed to solve the above problems.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] An intelligent physiological sign parameter management auxiliary system includes an evaluation unit, wherein the evaluation unit includes a monitoring module for sensing and recording the patient's physiological sign parameters, the monitoring module is electrically connected to a collection module for data collection, the collection module is electrically connected to an input module for inputting the patient's basic health status and monitoring symptoms, the collection module is electrically connected to an analysis unit for analyzing the patient's health status, the analysis unit is electrically connected to a database end for recording storage and data query, and the database end is electrically connected to a management unit for data sorting and data induction.

[0006] The present invention is further configured as follows: the monitoring module uses medical monitoring equipment to obtain physiological sign parameters, and switches to reflect the average value or real-time value of the vital sign parameters within a period of time according to treatment needs; the acquisition module collects the patient's physiological sign parameters monitored by the monitoring module, and formulates physiological data based on the patient's physiological sign parameters.

[0007] The present invention is further configured as follows: the patient enters his or her own health and physical condition through the entry module and records it as personal actual characteristic data, and the acquisition module collects the various data entered by the entry module, and the analysis unit performs rationality analysis on the patient's physiological data and personal actual characteristic data.

[0008] The present invention is further configured as follows: the analysis unit includes a comparison module for comparing the patient's physiological data and personal actual characteristic data, the comparison module is electrically connected to a symptom assessment module for evaluating the patient's personal actual characteristic data, the symptom assessment module is electrically connected to a diagnosis and treatment end for online diagnosis and treatment, and the symptom assessment module is electrically connected to a database end.

[0009] The present invention is further configured as follows: the symptom assessment module is electrically connected to a diagnosis module for confirming the patient's condition and a warning module for reminding the patient to seek offline medical treatment, the diagnosis module is electrically connected to a feature extraction module for extracting feature data, the feature extraction module is electrically connected to a feature upload module for uploading feature data, and the feature upload module is electrically connected to a database end.

[0010] The present invention is further configured as follows: the management unit includes a management module for formatting patient characteristics and physiological sign parameters, the management module is electrically connected to the database end, the management module is electrically connected to an analysis module for characteristic data analysis and comparison, the analysis module is electrically connected to an evaluation module for condition evaluation, and the evaluation module is electrically connected to a feedback module for evaluation data feedback.

[0011] The present invention is further configured as follows: the comparison module extracts the physiological data and personal actual characteristic data of the patient in the acquisition module, and performs a longitudinal comparison of the data to obtain the trend of the patient's physiological sign parameters changing over time; the symptom assessment module matches the patient's physiological data and personal actual characteristic data with the database end; when there is storage data in the database end that matches the patient's physiological data and personal actual characteristic data, the diagnosis module performs a final diagnosis; and when there is no storage data in the database end that matches the patient's physiological data and personal actual characteristic data, the diagnosis and treatment end performs online diagnosis and treatment.

[0012] The present invention is further configured as follows: the diagnosis and treatment end receives physiological data and personal actual characteristic data and notifies the treating doctor, who makes a final judgment. When the doctor confirms the patient's condition, the diagnosis module determines the patient's condition. When the doctor cannot determine the patient's condition, the warning module prompts the patient to seek offline treatment.

[0013] The present invention is further configured as follows: the feature extraction module extracts the feature data, and then the feature uploading module converts the patient's feature data into storage data and uploads it to the database end.

[0014] The present invention is further configured as follows: the management module records the newly stored storage data and past data on the database side in chronological order as sorted data; the analysis module performs a horizontal comparison on the sorted data, identifies the differences between different patients, and records them as difference data; the evaluation module evaluates the difference data and provides evaluation opinions; and the feedback module feeds back the evaluation opinions of the evaluation module to the patient.

[0015] In the present invention, the monitoring module uses medical monitoring equipment to obtain real-time data of the patient's physiological sign parameters, and according to different treatment needs, it can feedback the patient's real-time monitored physiological sign parameters and the average physiological sign parameters within a period of time. The input module is set to input the patient's personal actual characteristic data, so as to provide evidence for the judgment of the patient's physiological sign parameters. The physiological data and personal actual characteristic data provided by the monitoring module and the input module can be collected through the acquisition module. In addition, the patient's condition can be analyzed and diagnosed and treated according to the patient's physiological data and personal actual characteristic data through the analysis unit, and the patient's physiological data can be longitudinally compared through the comparison module, so as to form a more intuitive physiological data change trend chart, so that the medical staff at the diagnosis and treatment end can judge the patient's physiological sign parameters more clearly, and the symptom evaluation module can match and judge the patient's physiological data and personal actual characteristic data with the support of the storage data stored in the database end, so as to quickly make a diagnosis of the condition. If the patient does have or does not have When certain symptoms do not exist, the patient's condition can be diagnosed through the diagnosis module, and then the patient's feature data can be extracted and uploaded to the feature upload module through the feature extraction module. The feature upload module converts the patient's feature data into storage data and uploads it to the database end, so as to achieve the purpose of expanding the database end. Through the management unit, the collated data with reference value can be sorted and managed, so that the disease diagnosis information and evaluation results can provide reference and support for the subsequent symptom evaluation and diagnosis of different patients, so that the conditions of different patients can be diagnosed faster, so as to achieve the purpose of improving the diagnosis and treatment efficiency of medical staff, thereby continuously alleviating the operating pressure of the medical system, and the collated data sorted and managed by the management module can be horizontally analyzed through the analysis module, so that the differences between the diseased groups can be revealed and differential data can be generated, and the evaluation module can refine the differential data generated by the analysis module. Evaluation results fed back by the feedback module can reflect the patient's disease manifestations and severity under different storage data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a system flow diagram of an evaluation unit with an intelligent physiological sign parameter management auxiliary system in the present invention;

[0017] Figure 2 The figure is a schematic diagram of the system flow of an analysis unit of an intelligent physiological sign parameter management auxiliary system in the present invention.

[0018] Figure 3 The figure is a system flow diagram of a management unit of an intelligent physiological sign parameter management auxiliary system in the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0020] like Figure 1-3 As shown, an intelligent physiological sign parameter management auxiliary system includes an evaluation unit, the evaluation unit includes a monitoring module for sensing and recording the patient's physiological sign parameters, the monitoring module is electrically connected to a collection module for data collection, the collection module is electrically connected to an input module for inputting the patient's basic health status and monitoring symptoms, the collection module is electrically connected to an analysis unit for analyzing the patient's health status, the analysis unit is electrically connected to a database end for recording storage and data query, and the database end is electrically connected to a management unit for data sorting and data induction;

[0021] The monitoring module uses medical monitoring equipment to obtain physiological sign parameters, and switches to reflect the average value or real-time value of the vital sign parameters within a period of time according to the treatment needs. The acquisition module collects the patient's physiological sign parameters monitored by the monitoring module, and formulates physiological data according to the patient's physiological sign parameters. The patient enters his or her own health and physical condition through the entry module and records it as personal actual characteristic data. The acquisition module collects various data entered by the entry module, and the analysis unit performs rationality analysis on the patient's physiological data and personal actual characteristic data.

[0022] Through the above embodiments, the monitoring module uses the medical monitoring device to obtain the real-time data of the patient's physiological sign parameters, and according to different treatment needs, can feedback the patient's real-time monitored physiological sign parameters and the average physiological sign parameters within a period of time, and the input module is set to input the patient's personal actual characteristic data, so as to provide evidence for the judgment of the patient's physiological sign parameters, and the acquisition module can collect the physiological data and personal actual characteristic data provided by the monitoring module and the input module;

[0023] The analysis unit includes a comparison module for comparing the patient's physiological data with the personal actual characteristic data, the comparison module is electrically connected to a symptom evaluation module for evaluating the patient's personal actual characteristic data, the symptom evaluation module is electrically connected to a diagnosis and treatment end for online diagnosis and treatment, the symptom evaluation module is electrically connected to a database end, the symptom evaluation module is electrically connected to a diagnosis module for confirming the patient's condition and a warning module for reminding the patient to seek medical treatment offline, the diagnosis module is electrically connected to a feature extraction module for extracting feature data, the feature extraction module is electrically connected to a feature upload module for uploading feature data, and the feature upload module is electrically connected to the database end;

[0024] Through the above embodiments, in addition, the analysis unit can analyze and diagnose the patient's condition according to the patient's physiological data and personal actual characteristic data, and the comparison module can longitudinally compare the patient's physiological data. At the same time, longitudinal comparison refers to comparing the physiological sign parameters of the same individual at different time points to observe the individual's changing trend over time, and obtain the trend of the patient's physiological sign parameters changing over time, thereby forming a more intuitive physiological data change trend chart, and then the medical staff at the diagnosis and treatment end can more clearly judge the patient's physiological sign parameters, and the symptom assessment module can match and judge the patient's physiological data and personal actual characteristic data with the support of the storage data stored in the database end, so as to quickly make a diagnosis of the condition;

[0025] The comparison module will extract the physiological data and personal actual characteristic data of the patient in the acquisition module, and perform a longitudinal comparison of the data. The symptom assessment module will match the physiological data and personal actual characteristic data of the patient with the database end. When the database end has storage data that matches the physiological data and personal actual characteristic data of the patient, the diagnosis module will make a final diagnosis. When the database end does not have storage data that matches the physiological data and personal actual characteristic data of the patient, the diagnosis and treatment end will perform online diagnosis and treatment.

[0026] The diagnosis and treatment end receives physiological data and personal actual characteristic data and notifies the diagnosing doctor, who makes the final judgment. When the doctor confirms the patient's condition, the diagnosis module determines the patient's condition. When the doctor cannot determine the patient's condition, the warning module prompts the patient to seek medical treatment offline. The feature extraction module extracts the characteristic data, and then the feature upload module converts the patient's characteristic data into storage data and uploads it to the database end;

[0027] Through the above embodiments, if the patient does or does not have certain symptoms, the patient's condition can be diagnosed through the diagnosis module, and then the patient's feature data is extracted and uploaded to the feature upload module through the feature extraction module. The feature upload module converts the patient's feature data into storage data and uploads it to the database end, so as to achieve the purpose of expanding the database end, and through the management unit, the collated data with reference value can be sorted and managed, so that the disease diagnosis information and evaluation results can provide reference and support for the subsequent symptom evaluation and diagnosis of different patients, so as to diagnose the conditions of different patients more quickly, so as to achieve the purpose of improving the diagnosis and treatment efficiency of medical staff, thereby continuously alleviating the operating pressure of the medical system;

[0028] The management unit includes a management module for formatting patient characteristics and physiological sign parameters, the management module is electrically connected to the database end, the management module is electrically connected to an analysis module for characteristic data analysis and comparison, the analysis module is electrically connected to an evaluation module for condition evaluation, and the evaluation module is electrically connected to a feedback module for evaluation data feedback;

[0029] The management module records the newly stored data and past data in the database end in chronological order as collated data, the analysis module compares the collated data horizontally, identifies the differences between different patients, and records them as differential data, the evaluation module evaluates the differential data and provides evaluation opinions, and the feedback module feeds back the evaluation opinions of the evaluation module to the patient;

[0030] Through the above-mentioned embodiment, the collated data collated and managed by the management module can be analyzed horizontally by the analysis module, so that the differences between the diseased groups can be revealed and difference data can be generated. At the same time, horizontal comparison refers to comparing the physiological sign parameters of different individuals or groups at a specific time point to identify the differences between the groups. The evaluation module can perform detailed evaluation on the difference data generated by the analysis module, so that the evaluation results fed back by the feedback module can reflect the disease manifestations and severity of the patients under different stored data;

[0031] Working principle: When the present invention is used, it is necessary to first monitor and collect the patient's physiological sign parameters and performance characteristics in real time, and connect the data of the monitoring module with the medical monitoring equipment so that the monitoring module records the value and specific time of the patient's physiological sign parameters in real time, and then enter the patient's personal actual characteristic data through the input module, and centrally collect the physiological data and personal actual characteristic data reflected by the monitoring module and the input module through the acquisition module, so as to provide the analysis unit with in-depth analysis and judgment. At this time, the comparison module is used to longitudinally compare the patient's physiological sign parameters within a certain period of time. Whether it is comparing the real-time value of the physiological sign parameters or comparing the average value of the physiological sign parameters in equally spaced time periods, it can objectively and clearly reflect the change trend of the patient's physiological sign parameters, and then provide evidence for the judgment of the symptom evaluation module and the diagnosis and treatment end. The symptom evaluation module matches the patient's physiological data and personal actual characteristic data with the storage data in the database end. When there is storage data in the database end that is compatible with the patient's physiological data and personal actual characteristic data, the diagnosis requirement of the disease is met, and the diagnosis module is used to perform Finally, when there is no storage data in the database end that matches the patient's physiological data and personal actual feature data, the diagnosis and treatment end will perform online diagnosis and treatment, and the doctor will make the final judgment. Regardless of whether the diagnosis and treatment end makes a judgment of being sick or not, the diagnosis requirements will be met, and the diagnosis module will make a final diagnosis. If the diagnosis end and the symptom assessment end are unable to make a judgment on the patient's condition, the warning module will warn the patient and ask the patient to go to the hospital for offline medical treatment for a more detailed diagnosis. The feature data confirmed by the diagnosis module will be extracted by the feature extraction module and uploaded to the feature upload module. Since the feature upload module uploads the feature data with reference value this time and is stored by the database end, the data information in the database end is continuously enriched, and the management module in the management unit will extract and organize the data in the database end, and the analysis module will perform a horizontal comparative analysis on the extracted data to obtain the trend of symptom differences between different patients, and record them as difference data at the same time. The evaluation module will evaluate the difference data, and finally feedback the evaluation results of the evaluation module through the feedback module.

[0032] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent physiological sign parameter management auxiliary system, characterized in that: It comprises an evaluation unit, which comprises a monitoring module for sensing and recording the patient's physiological sign parameters, the monitoring module is electrically connected to a collection module for data collection, the collection module is electrically connected to an input module for inputting the patient's basic health status and monitoring symptoms, the collection module is electrically connected to an analysis unit for analyzing the patient's health status, the analysis unit is electrically connected to a database end for recording, storing and querying data, and the database end is electrically connected to a management unit for data sorting and data induction.

2. The intelligent physiological sign parameter management auxiliary system according to claim 1 is characterized in that: The monitoring module uses medical monitoring equipment to obtain physiological sign parameters, and switches to reflect the average value or real-time value of the vital sign parameters within a period of time according to treatment needs. The acquisition module collects the patient's physiological sign parameters monitored by the monitoring module, and formulates physiological data based on the patient's physiological sign parameters.

3. The intelligent physiological sign parameter management auxiliary system according to claim 1 is characterized in that: The patient enters his or her health and physical condition through the input module and records it as personal actual characteristic data. The acquisition module collects the various data entered by the input module, and the analysis unit performs rationality analysis on the patient's physiological data and personal actual characteristic data.

4. The intelligent physiological sign parameter management auxiliary system according to claim 1 is characterized in that: The analysis unit includes a comparison module for comparing the patient's physiological data and personal actual characteristic data. The comparison module is electrically connected to a symptom assessment module for evaluating the patient's personal actual characteristic data. The symptom assessment module is electrically connected to a diagnosis and treatment end for online diagnosis and treatment. The symptom assessment module is electrically connected to a database end.

5. The intelligent physiological sign parameter management auxiliary system according to claim 4 is characterized in that: The symptom assessment module is electrically connected to a diagnosis module for confirming the patient's condition and a warning module for reminding the patient to seek offline medical treatment. The diagnosis module is electrically connected to a feature extraction module for extracting feature data. The feature extraction module is electrically connected to a feature upload module for uploading feature data. The feature upload module is electrically connected to a database end.

6. The intelligent physiological sign parameter management auxiliary system according to claim 1, characterized in that: The management unit includes a management module for formatting patient characteristics and physiological sign parameters, the management module is electrically connected to the database end, the management module is electrically connected to an analysis module for characteristic data analysis and comparison, the analysis module is electrically connected to an evaluation module for condition evaluation, and the evaluation module is electrically connected to a feedback module for evaluation data feedback.

7. The intelligent physiological sign parameter management auxiliary system according to claim 5, characterized in that: The comparison module will extract the patient's physiological data and personal actual characteristic data in the acquisition module, and perform a longitudinal comparison of the data to obtain the trend of the patient's physiological sign parameters changing over time. The symptom assessment module will match the patient's physiological data and personal actual characteristic data with the database end. When there is storage data in the database end that matches the patient's physiological data and personal actual characteristic data, the diagnosis module will make a final diagnosis. When there is no storage data in the database end that matches the patient's physiological data and personal actual characteristic data, the diagnosis and treatment end will perform online diagnosis and treatment.

8. The intelligent physiological sign parameter management auxiliary system according to claim 5, characterized in that: The diagnosis and treatment end receives physiological data and personal actual characteristic data and notifies the treating doctor, who makes the final judgment. When the doctor confirms the patient's condition, the diagnosis module determines the patient's condition. When the doctor cannot determine the patient's condition, the warning module prompts the patient to seek offline treatment.

9. The intelligent physiological sign parameter management auxiliary system according to claim 5, characterized in that: The feature extraction module extracts the feature data, and then the feature upload module converts the patient's feature data into storage data and uploads it to the database.

10. The intelligent physiological sign parameter management auxiliary system according to claim 6, characterized in that: The management module will record the newly stored data and past data on the database side in chronological order as sorted data. The analysis module will compare the sorted data horizontally, identify the differences between different patients, and record them as difference data. The evaluation module will evaluate the difference data and provide evaluation opinions. The feedback module will feed back the evaluation opinions of the evaluation module to the patient.

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