Medical care management system for endocrinology department

Abstract

The invention belongs to the technical field of medical informatization, and particularly discloses a medical care management system for the endocrinology department, which comprises an information acquisition module, an information analysis module, a prediction analysis module and an emergency medical care analysis module, the information acquisition module acquires blood glucose parameters of a patient in real time, analyzes the blood glucose parameters to obtain a blood glucose change curve, and processes the blood glucose change curve to obtain an abnormal degree value; the information analysis module compares the abnormal degree value with an abnormal degree threshold value, and if the abnormal degree value is larger than the abnormal degree threshold value, a prediction signal is generated; the prediction analysis module judges the blood glucose change trend based on the prediction signal, obtains a prediction time point, and prompts medical staff to carry out advanced medical care management; the emergency medical care analysis module obtains a predicted time length according to the predicted time point, analyzes medical care processing and blood glucose changes to obtain an emergency medical care demand value, and judges whether emergency medical care needs to be carried out or not according to the emergency medical care demand value; according to the invention, the medical staff can better know the change of the patient's condition, and the medical efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the field of medical information technology, and in particular to a medical care management system for endocrinology department. Background Art

[0002] With the rapid development of information technology, modern information systems are being used more and more widely in the medical field. As an important part of hospital informatization, the endocrinology medical management system needs to be able to share and exchange data with other medical information systems, such as electronic medical record systems, test information systems, and imaging information systems. This can not only improve the work efficiency of medical staff, but also realize the comprehensive integration and management of patient information, providing strong support for clinical decision-making; In the prior art, a detailed examination is required to determine whether the patient's condition has improved or worsened. In this process, a direct detailed examination without a preliminary analysis of the patient's condition may cause a waste of medical resources and create greater economic pressure on the patient. Therefore, it is very necessary to conduct a preliminary analysis and preliminary prediction of the patient's condition. In the prior art, there is a lack of a medical care management system for conducting a preliminary analysis and prediction of the patient's condition. The present invention obtains the patient's condition parameters, analyzes the deterioration or improvement of the patient's condition, and predicts the deterioration of the patient's condition, so that medical staff can provide timely and reasonable treatment to the patient, reduce the waste of medical resources and the burden on the patient, and also reduce the risk of worsening of the patient's condition.

[0003] To this end, the present invention provides a medical care management system for endocrinology department. Summary of the invention

[0004] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0005] The technical solution adopted by the present invention to solve the technical problem is: an endocrinology medical care management system, characterized in that it includes: Information collection module: During the monitoring period, the patient's blood sugar parameters are collected in real time, and a blood sugar change curve is obtained by constructing a two-dimensional coordinate system; the blood sugar change curve is analyzed to obtain the abnormality value; Information analysis module: compares the obtained abnormality value with the abnormality threshold, and generates a prediction signal if the abnormality value is greater than the abnormality threshold; Prediction analysis module: Based on the prediction signal, it determines the trend of blood sugar changes, obtains the predicted time point when blood sugar exceeds the normal range according to the trend of blood sugar changes, and prompts medical staff to carry out advance medical management according to the predicted time point; Emergency medical care analysis module: obtain the predicted duration based on the predicted time point, monitor blood sugar changes in real time when medical care is not provided, process and analyze to obtain the emergency medical care demand value, and determine whether emergency medical care is needed based on the emergency medical care demand value. If so, generate an emergency alarm signal.

[0006] As a further technical solution of the present invention, the abnormal node ratio, abnormal deviation ratio and ended time ratio are obtained in the following manner: Perform difference processing between the predicted time point and the current time point to obtain the predicted duration; The prediction time is divided into several time nodes. When a time node ends, the blood glucose change rate at the time node is obtained and compared with the blood glucose reference rate. If the blood glucose change rate is greater than the blood glucose reference rate, the time node is marked as an abnormal node; Count the number of abnormal nodes and compare them with the total number of ended time nodes to get the abnormal node ratio, which is marked as JD. Based on the abnormal nodes, the blood glucose change rate at the abnormal nodes is processed as a difference with the blood glucose reference rate to obtain the blood glucose rate deviation at the abnormal nodes. The blood glucose rate deviations at all abnormal nodes are summed and averaged to obtain the mean blood glucose rate deviation. The mean blood glucose rate deviation is processed as a ratio with the blood glucose reference rate to obtain the abnormal deviation ratio, which is marked as PL.

[0007] The number of ended time nodes is counted and compared with the total number of time nodes to obtain the ended time ratio, which is marked as SJ.

[0008] The beneficial effects of the present invention are as follows: 1. The technical solution of the embodiment of the present invention is: within the monitoring period, the patient's blood sugar parameters are collected in real time, and a blood sugar change curve is obtained by constructing a two-dimensional coordinate system; the blood sugar change curve is analyzed to obtain an abnormality value; the obtained abnormality value is compared with the abnormality threshold, and if the abnormality value is greater than the abnormality threshold, a prediction signal is generated; the present invention analyzes the patient's blood sugar changes, accurately finds out patients with abnormal blood sugar, and predicts the condition of patients with higher abnormalities, which can effectively reduce the occurrence of sudden deterioration of the patient's condition; it can help medical staff to formulate reasonable treatment plans in a timely manner and provide timely treatment to patients.

[0009] 2. The technical solution of the embodiment of the present invention is: based on the prediction signal, the blood sugar change trend is judged, and the predicted time point when the blood sugar exceeds the normal range is obtained according to the blood sugar change trend, and the medical staff is prompted to perform proactive medical management according to the predicted time point; the present invention predicts the time when the patient's blood sugar will deteriorate by judging the blood sugar change trend, which is convenient for medical staff to understand the patient's condition, perform proactive medical management for the patient, and reduce the deterioration of the patient's condition.

[0010] 3. The technical solution of the embodiment of the present invention is: obtaining the predicted duration according to the predicted time point, monitoring the blood sugar changes in real time when medical care is not implemented, processing and analyzing to obtain the emergency medical care demand value, judging whether emergency medical care is needed according to the emergency medical care demand value, and if so, generating an emergency alarm signal; the present invention analyzes whether there is an emergency change in the patient's condition, can accurately identify patients who need emergency medical care, facilitates medical staff to provide timely treatment to patients who need emergency medical care, improves the allocation of medical resources, and improves the security of patient medical care. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings.

[0012] Figure 1 It is a module diagram of a medical care management system for endocrinology department of the present invention; Figure 2 This is a flow chart of the steps of obtaining abnormality degree values ​​of a medical care management system for endocrinology department of the present invention; Figure 3 It is a flow chart of the steps of obtaining predicted time points for a medical care management system for endocrinology department of the present invention; Figure 4 This is a flow chart of the steps of obtaining emergency medical care demand value for an endocrinology medical care management system of the present invention; Figure 5 The present invention discloses a blood sugar variation curve diagram of a medical care management system for endocrinology department. DETAILED DESCRIPTION

[0013] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0014] Example 1

[0015] like Figure 1 , Figure 2 and Figure 5 As shown, an endocrinology medical care management system according to an embodiment of the present invention collects physiological index data of patients in real time, including but not limited to blood sugar, and analyzes the blood sugar data, including: Information collection module: During the monitoring period, the patient's blood sugar parameters are collected in real time, and a blood sugar change curve is obtained by constructing a two-dimensional coordinate system; the blood sugar change curve is analyzed to obtain the abnormality value; Monitor the patient's blood sugar parameters in real time through wearable devices, construct an XY two-dimensional coordinate system with the obtained blood sugar parameters as the Y axis and time as the X axis; mark and connect the obtained blood sugar parameters in the XY two-dimensional coordinate system to obtain a blood sugar change curve; In the coordinate system where the blood sugar change curve is located, a first baseline and a second baseline are constructed according to the normal blood sugar range, wherein the first baseline is above the second baseline, the first baseline corresponds to the maximum endpoint value of the normal blood sugar range, and the second baseline corresponds to the minimum endpoint value of the normal blood sugar range; At the same time, in the range area between the first baseline and the second baseline, a first critical line and a second critical line are constructed, wherein the first critical line is above the second critical line, the first critical line is lower than the first baseline, and the second critical line is higher than the second baseline; It should be noted that the first critical line and the second critical line are set by those skilled in the art based on experience, and the purpose is to prevent blood sugar from exceeding the normal range; The blood sugar change curve is monitored in real time. If the blood sugar change curve is within the range between the first critical line and the second critical line, it means that the blood sugar is normal, and no operation is performed, and the real-time monitoring continues; If the blood sugar change curve is within the range between the first critical line and the first reference line, an analysis signal is generated; If the blood sugar variation curve is within the range between the second critical line and the second reference line, an analysis signal is generated; When the blood sugar change curve is in the range between the first critical line and the first baseline or between the second critical line and the second baseline, the duration of the analysis signal is measured by a timer; the duration of the continuous appearance of the analysis signal is obtained, and the duration of the continuous appearance of the analysis signal is processed by ratio with the duration corresponding to the monitoring period to obtain an abnormal duration ratio, which is marked as YC; The period in which the analysis signal continuously appears is marked as an abnormal period, and the abnormal period is divided into several analysis nodes. The blood glucose parameters at each analysis node are summed and averaged to obtain the blood glucose mean value in the abnormal period. The blood glucose mean value is processed by ratio with the blood glucose reference value to obtain the blood glucose approximate value, which is marked as XJ; It should be noted that if the blood sugar change curve is within the range between the first critical line and the first baseline, the blood sugar reference value is the blood sugar parameter corresponding to the first critical line; If the blood sugar change curve is within the range between the second critical line and the second reference line, the blood sugar reference value is the blood sugar parameter corresponding to the second critical line; The abnormal duration ratio YC and the blood sugar approximate value XJ are analyzed using the formula: , get the abnormality degree value CD, where e is an exponential function; Information analysis module: compares the obtained abnormality value with the abnormality threshold, and generates a prediction signal if the abnormality value is greater than the abnormality threshold; The obtained abnormality value is compared with the abnormality threshold. The comparison process is as follows: If the abnormality level value is greater than the abnormality level threshold, a prediction signal is generated; If the abnormality value is less than or equal to the abnormality threshold, a normal signal is generated; based on the normal signal, the patient's blood sugar changes are continuously monitored; The technical solution of the embodiment of the present invention is: within the monitoring period, the patient's blood sugar parameters are collected in real time, and a blood sugar change curve is obtained by constructing a two-dimensional coordinate system; the blood sugar change curve is analyzed to obtain an abnormality value; the obtained abnormality value is compared with the abnormality threshold, and if the abnormality value is greater than the abnormality threshold, a prediction signal is generated; the present invention analyzes the patient's blood sugar changes, accurately finds out patients with abnormal blood sugar, and predicts the condition of patients with higher abnormalities, which can effectively reduce the occurrence of sudden deterioration of the patient's condition; it can help medical staff to formulate reasonable treatment plans in a timely manner and provide timely treatment to patients.

[0016] Example 2 like Figure 1 and Figure 3 As shown, an endocrinology medical care management system according to an embodiment of the present invention includes: Prediction analysis module: Based on the prediction signal, it determines the trend of blood sugar changes, obtains the predicted time point when blood sugar exceeds the normal range according to the trend of blood sugar changes, and prompts medical staff to carry out advance medical management according to the predicted time point; Specifically, a portion of the blood sugar change curve corresponding to the abnormal period is obtained and marked as a blood sugar near change curve; Connect the two end points of the blood sugar variation curve with straight lines to obtain a blood sugar variation reference line; Divide the blood sugar near-change curve into several sub-curves; Get the slope of each sub-curve based on any sub-curve; If the slope of the sub-curve is of the same sign as the slope of the blood glucose change reference line, the sub-curve is marked as a sub-curve of the same direction; If the slope of the sub-curve is different in sign from the slope of the blood glucose change reference line, the sub-curve is marked as a non-co-direction sub-curve; Count the number of sub-curves in the same direction and compare them with the total number of sub-curves to obtain the same-direction comparison; Based on the same-direction sub-curves, the slopes of all the same-direction sub-curves are integrated into a slope group, the variance value of the slope group is obtained, and the slope synchronization value is obtained; Perform difference processing on the same-phase ratio and the slope synchronization value to obtain the straight line approach value; Compare the straight line approach value with the straight line approach threshold; If the straight line approach value is greater than the straight line approach threshold, it means that the blood sugar change trend is linear; If the straight line approach value is less than or equal to the straight line approach threshold, it means that the blood sugar change trend is nonlinear; If the blood sugar change trend is linear, select several blood sugar parameter points at equal horizontal intervals near the blood sugar change curve, fit them by the least square method, get a fitting straight line, extend the fitting straight line and intersect it with the baseline, and get the time point corresponding to the intersection on the X-axis, which is the predicted time point when the blood sugar exceeds the normal range; It should be noted that the baseline includes a first baseline and a second baseline. If the slope of the blood sugar change reference line is a negative number, the fitted straight line is extended to intersect with the second baseline. If the slope of the blood sugar change reference line is a positive number, the fitted straight line is extended to intersect with the first baseline. If the blood sugar change trend is nonlinear, the blood sugar parameter corresponding to the blood sugar change curve at the current moment is obtained, and the difference is processed with the blood sugar parameter corresponding to the nearest baseline to obtain the blood sugar allowable change value; The allowed change value of blood sugar is processed by ratio with the maximum slope in the slope group to obtain the predicted time point when blood sugar exceeds the normal range; Before the predicted time point when blood sugar exceeds the normal range, medical staff are prompted to carry out advance medical management; The technical solution of the embodiment of the present invention is: based on the prediction signal, the blood sugar change trend is judged, and the predicted time point when the blood sugar exceeds the normal range is obtained according to the blood sugar change trend, and the medical staff is prompted to perform proactive medical management according to the predicted time point; the present invention predicts the time when the patient's blood sugar will deteriorate by judging the blood sugar change trend, which is convenient for medical staff to understand the patient's condition, perform proactive medical management for the patient, and reduce the deterioration of the patient's condition.

[0017] Example 3 like Figure 1 and Figure 4 As shown, an endocrinology medical care management system according to an embodiment of the present invention includes: Emergency medical care analysis module: obtains the predicted duration according to the predicted time point, monitors blood sugar changes in real time when medical care is not provided, processes and analyzes to obtain the emergency medical care demand value, and determines whether emergency medical care is needed based on the emergency medical care demand value. If so, generates an emergency alarm signal; Specifically, the predicted time point is processed with the current time point to obtain the predicted duration; The prediction time is divided into several time nodes. When a time node ends, the blood glucose change rate at the time node is obtained and compared with the blood glucose reference rate. If the blood glucose change rate is greater than the blood glucose reference rate, the time node is marked as an abnormal node; If the blood glucose change rate is less than or equal to the blood glucose reference rate, the time node is marked as a normal node; It should be noted that the blood glucose change rate at a time node = (blood glucose parameter at the current time node - blood glucose parameter at the previous time node) / (time interval between time nodes), where the time interval between time nodes is the same; It should also be noted that the blood glucose reference rate is the slope of the blood glucose change reference line when the blood glucose change is linear, and is the maximum slope in the slope group when the blood glucose change is nonlinear; Count the number of abnormal nodes and compare them with the total number of ended time nodes to get the abnormal node ratio, which is marked as JD. Based on the abnormal nodes, the blood glucose change rate at the abnormal nodes is processed as a difference with the blood glucose reference rate to obtain the blood glucose rate deviation at the abnormal nodes. The blood glucose rate deviations at all abnormal nodes are summed and averaged to obtain the mean blood glucose rate deviation. The mean blood glucose rate deviation is processed as a ratio with the blood glucose reference rate to obtain the abnormal deviation ratio, which is marked as PL. Count the number of completed time nodes and compare it with the total number of time nodes to get the completed time ratio, marked as SJ; The abnormal node ratio JD, abnormal deviation ratio PL and finished time ratio SJ are processed and the formula is used: , and obtain the emergency medical care demand value YH, where s1 and s2 are preset proportional coefficients, such as s1 is 0.54 and s2 is 0.71; comparing the urgent medical care need value to an urgent medical care need threshold; If the emergency medical care demand value is greater than the emergency medical care demand threshold, emergency medical care is required and an emergency alarm signal is generated; If the emergency medical care demand value is less than or equal to the emergency medical care demand threshold, no emergency medical care is required and monitoring continues; The technical solution of the embodiment of the present invention is: obtaining the predicted duration according to the predicted time point, monitoring the blood sugar changes in real time when medical care is not implemented, processing and analyzing to obtain the emergency medical care demand value, judging whether emergency medical care is needed according to the emergency medical care demand value, and if so, generating an emergency alarm signal; the present invention analyzes whether there is an emergency change in the patient's condition, can accurately identify patients who need emergency medical care, facilitates medical staff to provide timely treatment to patients who need emergency medical care, improves the allocation of medical resources, and improves the security of patient medical care.

[0018] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A medical care management system for endocrinology department, characterized in that: include: Information collection module: During the monitoring period, the patient's blood sugar parameters are collected in real time, and a blood sugar change curve is obtained by constructing a two-dimensional coordinate system; the blood sugar change curve is analyzed to obtain the abnormality value; Information analysis module: compares the obtained abnormality value with the abnormality threshold, and generates a prediction signal if the abnormality value is greater than the abnormality threshold; Prediction analysis module: Based on the prediction signal, it determines the trend of blood sugar changes, obtains the predicted time point when blood sugar exceeds the normal range according to the trend of blood sugar changes, and prompts medical staff to carry out advance medical management according to the predicted time point; Emergency medical care analysis module: obtain the predicted duration based on the predicted time point, monitor blood sugar changes in real time when medical care is not provided, process and analyze to obtain the emergency medical care demand value, and determine whether emergency medical care is needed based on the emergency medical care demand value. If so, generate an emergency alarm signal.

2. The medical care management system for endocrinology department according to claim 1, characterized in that: The abnormality degree value is obtained in the following manner: By analyzing the blood sugar change curve during the abnormal period, the blood sugar approximate value is obtained, which is marked as XJ; By processing the duration of the analysis signal, the abnormal duration ratio is obtained, which is marked as YC; The abnormal duration ratio YC and the blood sugar approximate value XJ are analyzed to calculate the abnormal degree value CD.

3. The medical care management system for endocrinology department according to claim 2, characterized in that: The abnormal duration ratio is obtained as follows: Obtain the patient's real-time blood sugar parameters and obtain the blood sugar change curve by constructing an XY two-dimensional coordinate system; In the coordinate system where the blood sugar change curve is located, a first baseline and a second baseline are constructed according to the normal blood sugar range, wherein the first baseline is above the second baseline, the first baseline corresponds to the maximum endpoint value of the normal blood sugar range, and the second baseline corresponds to the minimum endpoint value of the normal blood sugar range; At the same time, in the range area between the first baseline and the second baseline, a first critical line and a second critical line are constructed, wherein the first critical line is above the second critical line, the first critical line is lower than the first baseline, and the second critical line is higher than the second baseline; The blood sugar change curve is monitored in real time. If the blood sugar change curve is within the range between the first critical line and the second critical line, it means that the blood sugar is normal, and no operation is performed, and the real-time monitoring continues; If the blood sugar change curve is within the range between the first critical line and the first reference line, an analysis signal is generated; If the blood sugar variation curve is within the range between the second critical line and the second reference line, an analysis signal is generated; The duration of continuous appearance of the analysis signal is obtained, and the duration of continuous appearance of the analysis signal is processed by ratio with the duration corresponding to the monitoring period to obtain the abnormal duration ratio, which is marked as YC.

4. The medical care management system for endocrinology department according to claim 2, characterized in that: The method for obtaining the blood sugar approximate value is: The period when the analysis signal appears continuously is marked as an abnormal period, and the abnormal period is divided into several analysis nodes. The blood glucose parameters at each analysis node are summed and averaged to obtain the blood glucose mean value in the abnormal period. The blood glucose mean value is ratioed with the blood glucose reference value to obtain the blood glucose approximate value, which is marked as XJ.

5. The medical care management system for endocrinology department according to claim 1, characterized in that: The process of generating the prediction signal is as follows: The obtained abnormality level value is compared with the abnormality level threshold, and if the abnormality level value is greater than the abnormality level threshold, a prediction signal is generated.

6. The medical care management system for endocrinology department according to claim 1, characterized in that: The process of obtaining the predicted time point when blood sugar exceeds the normal range is: If the blood sugar change trend is linear, select several blood sugar parameter points at equal horizontal intervals near the blood sugar change curve, fit them by the least square method, get a fitting straight line, extend the fitting straight line and intersect it with the baseline, and get the time point corresponding to the intersection on the X-axis, which is the predicted time point when the blood sugar exceeds the normal range; If the blood sugar change trend is nonlinear, the blood sugar parameter corresponding to the blood sugar change curve at the current moment is obtained, and the difference is processed with the blood sugar parameter corresponding to the nearest baseline to obtain the blood sugar allowable change value; The allowed blood sugar change value is ratioed with the maximum slope in the slope group to obtain the predicted time point when blood sugar exceeds the normal range.

7. The endocrinology medical care management system according to claim 6, characterized in that: The method for obtaining whether the blood sugar change trend is linear or nonlinear is: Compare the straight line approach value with the straight line approach threshold; If the straight line approach value is greater than the straight line approach threshold, it means that the blood sugar change trend is linear; If the straight line approach value is less than or equal to the straight line approach threshold, it means that the blood sugar change trend is nonlinear.

8. The medical care management system for endocrinology department according to claim 7, characterized in that: The method for obtaining the straight line approximation value is as follows: Obtaining a portion of the blood sugar change curve corresponding to the abnormal period and marking it as a blood sugar near change curve; Connect the two end points of the blood sugar variation curve with straight lines to obtain a blood sugar variation reference line; Divide the blood sugar near-change curve into several sub-curves; Get the slope of each sub-curve based on any sub-curve; If the slope of the sub-curve is of the same sign as the slope of the blood glucose change reference line, the sub-curve is marked as a sub-curve of the same direction; If the slope of the sub-curve is different in sign from the slope of the blood glucose change reference line, the sub-curve is marked as a non-co-direction sub-curve; Count the number of sub-curves in the same direction and compare them with the total number of sub-curves to obtain the same-direction comparison; Based on the same-direction sub-curves, the slopes of all the same-direction sub-curves are integrated into a slope group, the variance value of the slope group is obtained, and the slope synchronization value is obtained; Perform difference processing on the same-phase value and the slope synchronization value to obtain the straight line approximation value.

9. The medical care management system for endocrinology department according to claim 1, characterized in that: The method for obtaining the emergency medical care demand value is as follows: The number of abnormal nodes is processed to obtain the abnormal node ratio, which is marked as JD; The blood glucose change rate at the abnormal node is processed to obtain the abnormal deviation ratio, which is marked as PL; The number of ended time nodes is processed to obtain the ended time ratio, which is marked as SJ; The abnormal node ratio JD, the abnormal deviation ratio PL and the ended time ratio SJ are processed to calculate the emergency medical care demand value YH, where s1 and s2 are preset proportional coefficients.

10. The endocrinology medical care management system according to claim 1, characterized in that: The abnormal node ratio, abnormal deviation ratio and ended time ratio are obtained as follows: Perform difference processing between the predicted time point and the current time point to obtain the predicted duration; The prediction time is divided into several time nodes. When a time node ends, the blood glucose change rate at the time node is obtained and compared with the blood glucose reference rate. If the blood glucose change rate is greater than the blood glucose reference rate, the time node is marked as an abnormal node; Count the number of abnormal nodes and compare them with the total number of ended time nodes to get the abnormal node ratio, which is marked as JD. Based on the abnormal nodes, the blood glucose change rate at the abnormal nodes is processed as a difference with the blood glucose reference rate to obtain the blood glucose rate deviation at the abnormal nodes. The blood glucose rate deviations at all abnormal nodes are summed and averaged to obtain the mean blood glucose rate deviation. The mean blood glucose rate deviation is processed as a ratio with the blood glucose reference rate to obtain the abnormal deviation ratio, which is marked as PL. The number of ended time nodes is counted and compared with the total number of time nodes to obtain the ended time ratio, which is marked as SJ.

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