Medical resource distribution system for war wound rescue

Abstract

The invention relates to the technical field of medical resource allocation, in particular to a medical resource allocation system for war wound rescue, which comprises the following steps of: acquiring monitoring curve segments of different time periods corresponding to physiological indexes of each dimension of all target patients in a war wound rescue process; analyzing the data abnormal degree of each time period to screen out each abnormal monitoring curve segment corresponding to each dimension physiological index of each target patient; determining an abnormal change degree of each abnormal monitoring curve segment corresponding to each dimension physiological index, and further determining a kidney injury risk index of each target patient during each monitoring, so as to determine a fluid infusion effective index of each target patient during the current monitoring; and in combination with the fluid infusion effective index and the renal injury risk index of each target patient, determining a priority index of each target patient during medical resource allocation during current monitoring. According to the invention, the medical resource allocation priority conditions of different target patients in the war wound rescue process can be accurately obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of medical resource allocation, and particularly to a medical resource allocation system for combat injury rescue. Background Art

[0002] During wartime, the distribution of wounded soldiers is relatively sudden and concentrated in terms of time, and medical resources are relatively limited. Therefore, in order to effectively allocate medical resources, it is necessary to accurately analyze the conditions of the wounded and determine the treatment methods for different patients according to the severity of the conditions, so as to maximize the value of medical resources for wartime treatment.

[0003] When rescuing wartime thermal injuries, real-time physiological index data collected by conventional non-invasive monitoring means are usually used to feedback the current vital signs of patients. Common physiological index data can include heart rate, respiration, body temperature, posture, etc. However, due to the inflammatory reaction and tissue damage caused by thermal injury, patients are at risk of acute kidney injury, and due to the influence of the complex wartime environment, the development speed of the patient's condition may be accelerated. At this time, the existing method based only on conventional non-invasive monitoring means cannot accurately obtain the priority of medical resource allocation for different patients. Summary of the Invention

[0004] In order to solve the technical problem that the existing vital sign monitoring method cannot accurately obtain the priority of medical resource allocation for different patients, the purpose of the present invention is to provide a medical resource allocation system for combat injury rescue, and the specific technical solution adopted is as follows: An embodiment of the present invention provides a medical resource allocation system for combat injury rescue. The allocation system includes a memory and a processor. The processor executes the computer program stored in the memory to implement the following steps: Obtain the vital sign monitoring curves of several dimensions of physiological indicators of all target patients during the combat injury rescue process, and then segment the vital sign monitoring curves to obtain monitoring curve segments corresponding to different time periods of each dimension of physiological indicators; According to the monitoring curve segments corresponding to different time periods of each dimension of physiological indicators of each target patient, analyze the data abnormality degree of each time period to screen out each abnormal monitoring curve segment corresponding to each dimension of physiological indicators of each target patient; Determine the abnormal change degree of each abnormal monitoring curve segment corresponding to each dimension of physiological indicators; according to the abnormal change degree and each dimension of physiological indicators of each target patient at each monitoring, determine the kidney injury risk index of each target patient at each monitoring; Obtain the renal injury risk index curve corresponding to each target patient, analyze the recovery trend of the target patient after fluid infusion according to the segmented renal injury risk index curve, and determine the fluid infusion effectiveness index of each target patient at the current monitoring in combination with the renal injury risk index of each target patient at each monitoring. Determine the priority index for medical resource allocation of each target patient at the current monitoring in combination with the fluid infusion effectiveness index and the renal injury risk index of each target patient at the current monitoring.

[0005] Further, the obtaining of the vital sign monitoring curves of several-dimensional physiological indicators of all target patients during the combat injury rescue process includes: Obtain the several-dimensional physiological indicators of all target patients at several times during the combat injury rescue process. The target patients are those equipped with Picco monitoring devices, and the dimensional physiological indicators are mean arterial pressure, central venous pressure, or central venous oxygen saturation. Perform a negative correlation process on the mean arterial pressure of all target patients at each monitoring to obtain the negative correlation value of the mean arterial pressure, and fit the negative correlation values of the mean arterial pressure of the same target patient at each monitoring in chronological order to obtain the mean arterial pressure time series curve. Fit the central venous pressure of the same target patient at each monitoring in chronological order to obtain the central venous pressure time series curve; fit the central venous oxygen saturation of the same target patient at each monitoring in chronological order to obtain the central venous oxygen saturation time series curve. The vital sign monitoring curve is the mean arterial pressure time series curve, the central venous pressure time series curve, or the central venous oxygen saturation time series curve.

[0006] Further, the analyzing of the data abnormality degree of each time period according to the monitoring curve segments of different time periods corresponding to each dimensional physiological indicator of each target patient to screen out each abnormal monitoring curve segment corresponding to each dimensional physiological indicator of each target patient includes: For any time period of any dimensional physiological indicator of any target patient, determine the curve value at the starting point, the curve value at the ending point, and the curve mean value in the monitoring curve segment corresponding to this time period of this dimensional physiological indicator of this target patient as the first curve value, the second curve value, and the third curve value. Calculate the average value of the curve means of the monitoring curve segments corresponding to the corresponding time periods of other target patients other than this target patient during this time period as the fourth curve value; wherein, the corresponding time period is the time period with the most repeated moments corresponding to other target patients compared with this time period. Analyze the growth rate of the physiological index of this dimension and the differences in the physiological index of this dimension among different target patients in combination with the first curve value, the second curve value, the third curve value, and the fourth curve value, and determine the degree of data abnormality during this period; Obtain the degree of data abnormality for each period of the physiological index of each dimension of each target patient, set a data abnormality threshold, and use the monitoring curve segment of the period with the degree of data abnormality greater than the data abnormality threshold as the abnormal monitoring curve segment.

[0007] Furthermore, the combining the first curve value, the second curve value, the third curve value, and the fourth curve value to analyze the growth rate of the physiological index of this dimension and the differences in the physiological index of this dimension among different target patients, and determining the degree of data abnormality during this period includes: Obtain the duration of this period corresponding to the physiological index of this dimension of this target patient; Calculate the difference between the second curve value and the first curve value, and use the ratio of the difference to the duration as the first data abnormality factor for this period; Use the ratio of the third curve value to the fourth curve value as the second data abnormality factor for this period; Use the fusion value obtained based on the first data abnormality factor and the second data abnormality factor as the degree of data abnormality during this period; Among them, both the first data abnormality factor and the second data abnormality factor are positively correlated with the degree of data abnormality.

[0008] Furthermore, the determining the degree of abnormal change of each abnormal monitoring curve segment corresponding to the physiological index of each dimension includes: For any abnormal monitoring curve segment, obtain any adjacent abnormal monitoring curve segment as the comparison curve segment; Calculate the absolute value of the difference between the degree of data abnormality of this abnormal monitoring curve segment and the degree of data abnormality of the comparison curve segment; Use the ratio of the absolute value of the difference to the degree of data abnormality of this abnormal monitoring curve segment as the degree of abnormal change of this abnormal monitoring curve segment.

[0009] Furthermore, the determining the renal injury risk index of each target patient at each monitoring according to the degree of abnormal change and the physiological index of each dimension of each target patient at each monitoring includes: Determine the correlation index of this target patient in the physiological index of this dimension according to the difference situation between the degree of abnormal change of the abnormal monitoring curve segment corresponding to the physiological index of the same dimension of any target patient and that of other target patients; Obtain the correlation index of the physiological indicators of each dimension for each target patient, and use the correlation index to perform weighted summation processing on the corresponding dimension physiological indicators of the same target patient during the same monitoring, so as to obtain the renal injury risk index of each target patient at each monitoring.

[0010] Further, analyzing the recovery trend of the target patient after fluid replacement according to the segmented renal injury risk index curve, and combining the renal injury risk index of each target patient at each monitoring to determine the fluid replacement effectiveness index of each target patient at the current monitoring, including: Determine each extreme point of the renal injury risk index curve, and use the extreme points to segment the renal injury risk index curve. Denote the renal injury risk index curve segment containing each target patient at the current monitoring as the target curve segment; Determine the difference between the renal injury risk index at the starting moment and the renal injury risk index at the ending moment of the target curve segment as the first recovery trend index of the corresponding target patient at the current monitoring; Determine the renal injury risk index of each target patient at the first monitoring as the first index, and the renal injury risk index of each target patient at the current monitoring as the second index. Take the ratio of the first index and the second index as the second recovery trend index; Combine the first recovery trend index and the second recovery trend index to determine the fluid replacement effectiveness index of the corresponding target patient at the current monitoring.

[0011] Further, combining the first recovery trend index and the second recovery trend index to determine the fluid replacement effectiveness index of the corresponding target patient at the current monitoring includes: For any target patient, calculate the product of the first recovery trend index and the second recovery trend index of the target patient at the current monitoring, perform normalization processing on the product to obtain the normalized value of the product, and take the normalized value of the product as the fluid replacement effectiveness index of the target patient at the current monitoring.

[0012] Further, combining the fluid replacement effectiveness index of each target patient at the current monitoring and the renal injury risk index to determine the priority index for medical resource allocation of each target patient at the current monitoring includes: Calculate the average value of the fluid replacement effectiveness indices of all target patients at the current monitoring, and determine the maximum value of the renal injury risk indices of all target patients at the current monitoring; For any target patient, take the ratio of the average value to the fluid replacement effectiveness index of the target patient at the current monitoring as the first priority factor for the target patient to allocate medical resources at the current monitoring; Calculate the difference between the maximum value and the renal injury risk index of the target patient at the current monitoring, perform a negative correlation process on the difference, and use the obtained negative correlation value as the second priority factor for medical resource allocation for the target patient at the current monitoring; Calculate the product of the first priority factor and the second priority factor, and perform a normalization process on the product of the two priority factors to obtain the priority index for medical resource allocation for the target patient at the current monitoring.

[0013] Further, after obtaining the priority index for medical resource allocation for each target patient at the current monitoring, it further includes: Arrange the priority indices for medical resource allocation for each target patient at the current monitoring in descending order to obtain a reference sequence for medical staff to adjust the current medical resources.

[0014] The present invention has the following beneficial effects: The present invention provides a medical resource allocation system for combat injury rescue. The system first obtains the vital sign monitoring curves of several dimensions of physiological indicators of all target patients during combat injury rescue, and segments the vital sign monitoring curves, which can analyze different dimensions of physiological indicators in different time periods to screen out abnormal monitoring curve segments, so as to facilitate subsequent use of the abnormal monitoring curve segments as the main analysis object, which can effectively improve the subsequent data analysis efficiency, and then improve the calculation efficiency of the priority index during medical resource allocation; then determine the fluid infusion effectiveness index and renal injury risk index of each target patient at the current monitoring, which helps to more accurately determine the priority index for medical resource allocation for each target patient at the current monitoring, so as to provide a reference for medical staff to allocate wartime medical resources and maximize the value of medical resources for combat injury treatment. Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0016] Figure 1 It is the execution flowchart of a medical resource allocation system for combat injury rescue of the present invention; Figure 2 It is the implementation flowchart of step S2 in the embodiment of the present invention; Figure 3 It is the implementation flowchart of step S32 in the embodiment of the present invention; Figure 4This is the flowchart for implementing step S4 in the embodiments of the present invention. Detailed implementation manners

[0017] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific implementation manners, structures, features and their effects of the technical solutions proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0019] The application scenario targeted by the present invention: In order to analyze the development of the conditions of different patients during war injury rescue and the possibility of their occurrence of acute kidney injury, so as to obtain a more accurate priority situation of medical resource allocation, the present invention monitors the pulse contour cardiac output (Picco) of patients with thermal injury, analyzes the effectiveness of fluid replacement after burns of different patients based on the obtained various index data and the correlation between the indexes, analyzes the development of the conditions of different patients based on the effectiveness of fluid replacement, and obtains the severity levels of the conditions of different patients, thereby providing a reference for medical staff to allocate wartime medical resources. Among them, the pulse contour cardiac output is the general term for all-dimensional physiological indexes detected by the Picco device.

[0020] This embodiment provides a medical resource allocation system for war injury rescue, including a memory and a processor. The processor executes the computer program stored in the memory to implement the following steps: Obtain the vital sign monitoring curves of several dimensions of physiological indexes of all target patients during the war injury rescue process, and then segment the vital sign monitoring curves to obtain monitoring curve segments corresponding to different time periods of each dimension of physiological indexes; According to the monitoring curve segments corresponding to different time periods of each dimension of physiological indexes of each target patient, analyze the data abnormality degree of each time period to screen out the abnormal monitoring curve segments corresponding to each dimension of physiological indexes of each target patient; Determine the abnormal change degree of each abnormal monitoring curve segment corresponding to each dimension of physiological indexes; according to the abnormal change degree and each dimension of physiological indexes of each target patient at each monitoring, determine the kidney injury risk index of each target patient at each monitoring; Obtain the renal injury risk index curve corresponding to each target patient, analyze the recovery trend of the target patient after fluid infusion according to the segmented renal injury risk index curve, and determine the fluid infusion effectiveness index of each target patient at the current monitoring in combination with the renal injury risk index of each target patient at each monitoring. Determine the priority index for medical resource allocation of each target patient at the current monitoring in combination with the fluid infusion effectiveness index and the renal injury risk index of each target patient at the current monitoring.

[0021] The following elaborates on each of the above steps in detail: Reference Figure 1 , which shows the execution flowchart of a medical resource allocation system for combat injury rescue according to the present invention, including: S1. Obtain the vital sign monitoring curves of several dimensions of physiological indicators of all target patients during combat injury rescue, and then segment the vital sign monitoring curves to obtain the monitoring curve segments of different time periods corresponding to each dimension of physiological indicators.

[0022] The above step S1 can be implemented through steps S11 to S12 (not shown in the figure): S11. Obtain the vital sign monitoring curves of several dimensions of physiological indicators of all target patients during combat injury rescue.

[0023] The above step S11 can be implemented through steps S111 to S113 (not shown in the figure): S111. Obtain several dimensions of physiological indicators of all target patients at several times of monitoring during combat injury rescue.

[0024] Here, the target patients are the patients equipped with Picco monitoring devices, that is, the patients judged by doctors to need to be equipped with Picco monitoring devices for monitoring, that is, patients with thermal injury caused by wartime burns combined with early acute kidney injury. The dimensions of physiological indicators are mean arterial pressure, central venous pressure, or central venous oxygen saturation.

[0025] In this embodiment, from the time when the patient is diagnosed by the doctor to need Picco monitoring until the doctor judges that the patient does not need monitoring at the current situation, the mean arterial pressure, central venous pressure, or central venous oxygen saturation of all target patients at each monitoring during combat injury rescue is collected. Among them, the time interval between two adjacent monitorings can be 4 hours, and the implementer can set the monitoring time interval according to the specific actual situation.

[0026] Patients who require Picco monitoring are generally burn patients. For patients with thermal injury combined with early acute kidney injury caused by burns during wartime, an intravenous access needs to be established for rapid fluid replacement for fluid resuscitation. The reasons are as follows: The likelihood of burns occurring during wartime is greater than that of daily burns. After burns, the heat will damage the skin tissue, causing a large amount of fluid in the blood vessels to leak out, reducing the effective circulating blood volume, resulting in insufficient perfusion of the renal tissue, thereby reducing renal function and even causing kidney injury. Therefore, more severe burn patients need to receive fluid replacement and recovery under the monitoring of Picco to prevent and reduce the occurrence of acute kidney injury in patients.

[0027] Specifically: Place the patient in the supine position, insert a triple-lumen central venous catheter into the patient's subclavian vein to a depth of about 14 cm, and then insert a Picco arterial temperature and pressure catheter into the femoral artery. Connect the Picco arterial temperature and pressure catheter and the triple-lumen central venous catheter to the monitor. Among them, the Picco monitoring device for a single patient is a monitoring terminal. In the multi-dimensional vital sign intelligent monitoring system for wartime burn rescue, a monitoring group consists of multiple portable monitoring terminals and one central monitoring terminal, and the physiological data is wirelessly transmitted to the central monitoring terminal for display, analysis, diagnosis, and storage. The multiple portable monitoring terminals and the central monitoring terminal can achieve regional wireless networking.

[0028] S112, perform a negative correlation process on the mean arterial pressure of all target patients during each monitoring to obtain the negative correlation value of the mean arterial pressure, and fit the negative correlation values of the mean arterial pressure of the same target patient during each monitoring in chronological order to obtain the mean arterial pressure time series curve.

[0029] Since a decrease in the mean arterial pressure may cause the patient's renal function to deteriorate, the mean arterial pressure is negatively correlated with the subsequent analyzed kidney injury risk index. For the convenience of data analysis, in this embodiment, the collected mean arterial pressure is subjected to a negative correlation process, such as taking the reciprocal of the mean arterial pressure as the negative correlation value of the mean arterial pressure; to analyze the overall growth of the mean arterial pressure, for example, using the least squares method and in chronological order, fit the negative correlation values of the mean arterial pressure of the same target patient during each monitoring, and use the obtained curve as the mean arterial pressure time series curve. Among them, the implementation processes of the negative correlation process and the least squares method for data are both prior arts and not within the protection scope of the present invention, so no detailed description will be given here.

[0030] S113, fit the central venous pressure of the same target patient during each monitoring in chronological order to obtain the central venous pressure time series curve; fit the central venous oxygen saturation of the same target patient during each monitoring in chronological order to obtain the central venous oxygen saturation time series curve.

[0031] For central venous pressure and central venous oxygen saturation, an increase in both central venous pressure and oxygen saturation may deteriorate the renal function of the patient. Therefore, for the convenience of analyzing the growth trend of monitoring data, the least squares method can be used to fit the central venous pressure and central venous oxygen saturation of the same target patient during all monitoring times in chronological order to obtain two fitting curves, namely the central venous pressure time series curve and the central venous oxygen saturation time series curve.

[0032] It should be noted that under normal circumstances, the acquisition time and termination time of different-dimensional physiological indicators of the target patient are the same. Therefore, the total durations corresponding to the mean arterial pressure time series curve, the central venous pressure time series curve, and the central venous oxygen saturation time series curve are the same, and each target patient has three corresponding different vital sign monitoring curves. The vital sign monitoring curve can be the mean arterial pressure time series curve, the central venous pressure time series curve, or the central venous oxygen saturation time series curve. Among them, the abscissa of the vital sign monitoring curve can be the monitoring time point, and the ordinate can be the dimensional physiological indicator.

[0033] S12. Segment the vital sign monitoring curve to obtain the monitoring curve segments of different time periods corresponding to each dimensional physiological indicator.

[0034] Since the disease development degrees of different patients are different and the growth trends of different-dimensional physiological indicators are different, in this embodiment, the vital sign monitoring curve is segmented at each extreme value point to obtain the monitoring curve segments of different time periods corresponding to each dimensional physiological indicator.

[0035] So far, this embodiment has obtained the monitoring curve segments of different time periods corresponding to each dimensional physiological indicator of each target patient.

[0036] S2. According to the monitoring curve segments of different time periods corresponding to each dimensional physiological indicator of each target patient, analyze the data abnormality degree of each time period to screen out the abnormal monitoring curve segments corresponding to each dimensional physiological indicator of each target patient.

[0037] Here, the abnormal monitoring curve segment refers to the abnormal situation of the dimensional physiological indicator data of a certain patient during a certain time period. The more abnormal the dimensional physiological indicator data is, the more likely it is that the patient's condition is relatively serious. By screening out the abnormal monitoring curve segments, the computational amount of subsequent data analysis can be reduced to a certain extent, which helps to improve the efficiency of patient vital sign analysis.

[0038] Taking the first-dimensional physiological indicator of the i-th target patient as an example, to determine the abnormal monitoring curve segments corresponding to the first-dimensional physiological indicator of the i-th target patient, the above step S2 can be implemented through Figure 2 the steps S21 to S24 shown below: S21. For the j-th period of the physiological index of the first dimension of the i-th target patient, determine the curve value of the starting point, the curve value of the ending point, and the curve mean value in the monitoring curve segment corresponding to the j-th period of the physiological index of the first dimension of the i-th target patient, as the first curve value, the second curve value, and the third curve value.

[0039] In this embodiment, the physiological index of the first dimension may be mean arterial pressure, central venous pressure, or central venous oxygen saturation. The curve value of the starting point refers to the physiological index of the dimension at the first time point in the monitoring curve segment of the j-th period, and the ending point refers to the physiological index of the dimension at the last time point. Among them, the curve value of the starting point corresponds to the first curve value, the curve value of the ending point corresponds to the second curve value, and the curve mean value corresponds to the third curve value. The curve mean value refers to the average value of all curve values in the monitoring curve segment of the j-th period.

[0040] S22. Calculate the average value of the curve mean values of the monitoring curve segments of the corresponding periods of other target patients except the i-th target patient in the j-th period, as the fourth curve value.

[0041] In this embodiment, the corresponding period is the period with the most repeated moments corresponding to the j-th period for other target patients. For the j-th period, each other target patient corresponds to a corresponding period; when calculating the fourth curve value, it is to calculate the average value of all curve mean values again on the premise of calculating the curve mean values of the monitoring curve segments of the corresponding periods of all target patients except the i-th target patient.

[0042] S23. Analyze the growth rate of the physiological index of the first dimension and the difference in the physiological index of the first dimension among different target patients by combining the first curve value, the second curve value, the third curve value, and the fourth curve value, and determine the degree of data abnormality in the j-th period.

[0043] In this embodiment, if the growth degree of the physiological index of a certain dimension of a certain target patient in a certain period is large and the value of the physiological index of this dimension is large compared to all other target patients in the corresponding period, it indicates that the degree of data abnormality of the physiological index of this dimension of this target patient in this period is large.

[0044] The above step S23 can be implemented through the following steps: Obtain the duration of the j-th period of the physiological index of the first dimension of the i-th target patient; calculate the difference between the second curve value and the first curve value, and take the ratio of the difference to the duration as the first data anomaly factor of the j-th period; take the ratio of the third curve value and the fourth curve value as the second data anomaly factor of the j-th period; take the fusion value obtained based on the first data anomaly factor and the second data anomaly factor as the data anomaly degree of the j-th period. Among them, both the first data anomaly factor and the second data anomaly factor are positively correlated with the data anomaly degree, and the fusion value can be the product of the two data anomaly factors.

[0045] As an example, the calculation process of the data anomaly degree of the j-th period of the physiological index of the first dimension of the i-th target patient includes: ; where represents the fusion value of the j-th period of the physiological index of the first dimension of the i-th target patient, i represents the i-th target patient, j represents the j-th period, r represents the end point, l represents the starting point, represents the second curve value of the j-th period of the physiological index of the first dimension of the i-th target patient, represents the first curve value of the j-th period of the physiological index of the first dimension of the i-th target patient, represents the duration of the j-th period of the physiological index of the first dimension of the i-th target patient, represents the first data anomaly factor of the j-th period of the physiological index of the first dimension of the i-th target patient, represents the third curve value of the j-th period of the physiological index of the first dimension of the i-th target patient, represents the fourth curve value, represents the second data anomaly factor of the j-th period of the physiological index of the first dimension of the i-th target patient.

[0046] In the calculation formula of the fusion value, the larger the first data anomaly factor, the greater the growth amplitude of the physiological index of the first dimension of the j-th period of the i-th target patient. The larger the second data anomaly factor, the larger the physiological index of the first dimension of the i-th target patient compared to the other target patients in the corresponding period of the j-th period, and the greater the data anomaly degree of the j-th period of the physiological index of the first dimension of the i-th target patient. It should be noted that under normal circumstances, there is no possibility that the fourth curve value is zero. In case of extreme situations, a non-zero constant, such as 0.01, is added to the denominator position of the second data anomaly factor to avoid the possibility of the fractional denominator being zero.

[0047] Normalize the fusion value of the physiological index of the first dimension of the i-th target patient at the j-th time period, and use the normalized fusion value as the data anomaly degree. The value range of the data anomaly degree is between 0 and 1. Among them, the normalization method can be a linear function or the maximum-minimum method. The implementation process of the normalization process is prior art and not within the protection scope of the present invention, so it will not be elaborated in detail here.

[0048] S24. Obtain the data anomaly degree of each time period of the physiological index of the first dimension of the i-th target patient, set a data anomaly threshold, and use the monitoring curve segment of the time period with the data anomaly degree greater than the data anomaly threshold as the abnormal monitoring curve segment.

[0049] In this embodiment, referring to the calculation process of the data anomaly degree of the j-th time period of the physiological index of the first dimension of the i-th target patient above, the data anomaly degree of each time period of the physiological index of the first dimension of the i-th target patient can be obtained. The data anomaly threshold can be set to 0.7, and the monitoring curve segment of the time period with the data anomaly degree greater than 0.7 is used as the abnormal monitoring curve segment, so as to obtain each abnormal monitoring curve segment corresponding to the physiological index of the first dimension of the i-th target patient. Among them, the data anomaly threshold can be set by the implementer according to the specific actual situation, and no specific limitation is made here.

[0050] So far, through the above steps S21 to S24, each abnormal monitoring curve segment corresponding to the physiological index of each dimension of each target patient can be obtained.

[0051] S3. Determine the abnormal change degree of each abnormal monitoring curve segment corresponding to the physiological index of each dimension; according to the abnormal change degree and the physiological index of each dimension of each target patient at each monitoring, determine the renal injury risk index of each target patient at each monitoring.

[0052] Here, the renal injury risk index refers to the possibility of a target patient having renal injury at each monitoring. The larger the renal injury risk index, the more urgent the treatment stage of the target patient, and the higher the probability of preferentially allocating medical resources to the target patient.

[0053] Relatively severe burn patients need to maintain the circulating blood volume and renal perfusion pressure in the body through fluid resuscitation to reduce the risk of renal injury of the current patient. As the fluid infusion progresses, the physiological indexes of each dimension monitored by Picco also change accordingly, that is, the degree of disease development of the target patient at a certain moment is jointly reflected by the changes of the physiological indexes of each dimension monitored by Picco, and there is a certain correlation in the change trends of the physiological indexes of each dimension. Therefore, to obtain the renal injury risk of the target patient at each monitoring, it is necessary to perform data analysis based on the specific physiological index values of each dimension and in combination with the correlation between the physiological indexes of each dimension of the same target patient.

[0054] The above step S3 can be implemented through steps S31 to S32 (not shown in the figure): S31. Determine the abnormal change degree of each abnormal monitoring curve segment corresponding to the physiological index of each dimension according to the difference between the data abnormal degrees of two adjacent abnormal monitoring curve segments.

[0055] Taking the physiological index of a single dimension of the target patient as an example, if the change in the data abnormal degree of the abnormal monitoring curve segment of this dimension of physiological index can cause a large degree of fluctuation while the abnormal conditions of the other pulse contour cardiac output indexes occur simultaneously, that is, this dimension of physiological index can greatly affect the current physiological state of the target patient, it indicates that there is a high possibility of renal injury risk.

[0056] Specifically, for any abnormal monitoring curve segment, obtain any adjacent abnormal monitoring curve segment as the comparison curve segment; calculate the absolute value of the difference between the data abnormal degree of this abnormal monitoring curve segment and the data abnormal degree of the comparison curve segment; take the ratio of the absolute value of the difference to the data abnormal degree of this abnormal monitoring curve segment as the abnormal change degree of this abnormal monitoring curve segment.

[0057] In this embodiment, taking the k-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient as an example, the calculation formula for the abnormal change degree of the k-th abnormal monitoring curve segment corresponding to the first dimension physiological index can be: ; where represents the abnormal change degree of the k-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient, represents the data abnormal degree of the k-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient, represents the data abnormal degree of the -th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient, represents the absolute value function.

[0058] Referring to the calculation process of the abnormal change degree of the k-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient above, the abnormal change degree of each abnormal monitoring curve segment corresponding to the physiological index of each dimension of each target patient can be obtained.

[0059] S32. Determine the renal injury risk index of each target patient at each monitoring according to the abnormal change degree and the physiological index of each dimension of each target patient at each monitoring.

[0060] The above step S32 can be achieved through Figure 3The implementation of steps S321 to S322 is as follows: S321. Determine the correlation index of the target patient in the physiological index of this dimension according to the difference in the abnormal change degree between the abnormal monitoring curve segments corresponding to the physiological indexes of any target patient and other target patients in the same dimension.

[0061] In this embodiment, if the data abnormal degree changes of the physiological indexes of other dimensions except the first dimension physiological index of the target patient are relatively similar to those between the abnormal monitoring curve segments corresponding to the first dimension physiological index, that is, except for the first dimension physiological index, the physiological indexes of the remaining dimensions have the same degree of abnormality at the corresponding time periods, it indicates that the correlation index of the first dimension physiological index is larger.

[0062] As an example, the calculation formula for the correlation index of the i-th target patient in the first dimension physiological index can be: ; where represents the correlation index of the i-th target patient in the first dimension physiological index, represents the number of abnormal monitoring curve segments corresponding to the first dimension physiological index of the i-th target patient, represents the i-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient in the abnormal change degree of the abnormal monitoring curve segments in the corresponding time periods of the physiological indexes of other dimensions except the first dimension physiological index, represents the i-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient in the abnormal change degree, is the absolute value function.

[0063] In the calculation formula of the correlation index, represents the difference between the abnormal change degree of the i-th abnormal monitoring curve segment corresponding to the first dimension physiological index of the i-th target patient and the abnormal change degree in the corresponding time periods of the physiological indexes of the remaining dimensions, represents the cumulative sum of the differences between the abnormal change degrees of all abnormal monitoring curve segments corresponding to the first dimension physiological index of the i-th target patient and the abnormal change degrees in the corresponding time periods of the physiological indexes of the remaining dimensions. The larger the cumulative sum of the differences, the greater the impact of the first dimension physiological index of the i-th target patient on the risk of kidney injury, that is, the larger the correlation index of the first dimension physiological index of the i-th target patient. It should be noted that under normal circumstances, there is no possibility of a value of zero. If there are extreme cases, add a non-zero constant, such as 0.01, at the denominator position of to avoid the possibility of the denominator of the fraction being zero.

[0064] S322. Obtain the correlation index of each physiological index dimension for each target patient, and use the correlation index to perform weighted summation processing on the corresponding physiological index dimensions of the same target patient during the same monitoring, to obtain the renal injury risk index of each target patient during each monitoring.

[0065] In this embodiment, referring to the calculation process of the correlation index of the physiological index of the i-th target patient in the first dimension, the correlation index of each physiological index dimension of each target patient can be obtained. It should be noted that the correlation indexes of all monitoring times of the same target patient under the same physiological index dimension are the same.

[0066] Based on the influence degree of each physiological index dimension on the current renal injury risk of the i-th target patient during the m-th monitoring, that is, the correlation index of the i-th target patient in the z-th physiological index dimension, combined with the z-th physiological index dimension of the i-th target patient during the m-th monitoring, analyze the renal injury risk index of the i-th target patient during the m-th monitoring.

[0067] As an example, the calculation formula for the renal injury risk index of the i-th target patient during the m-th monitoring can be: ; in the formula, represents the renal injury risk index of the i-th target patient during the m-th monitoring, represents the normalization function, and its value range is between 0 and 1, represents the number of physiological index dimensions, z represents the z-th physiological index dimension, represents the correlation index of the z-th physiological index dimension of the i-th target patient, which is equivalent to the weight of represents the z-th physiological index dimension of the i-th target patient during the m-th monitoring.

[0068] In the calculation formula of the renal injury risk index, in order to facilitate subsequent mathematical calculations, the value range of the renal injury risk index is between 0 and 1. By comprehensively analyzing different physiological index dimensions of the same target patient, the possibility of the target patient having a renal injury risk during each monitoring can be quantified, which helps to determine the effectiveness of fluid replacement and the priority index for medical resource allocation in the future.

[0069] So far, by referring to the above calculation process of the renal injury risk index of the i-th target patient during the m-th monitoring, the renal injury risk index of each target patient during each monitoring can be obtained.

[0070] S4. Obtain the renal injury risk index curve corresponding to each target patient, analyze the recovery trend of the target patient after fluid infusion based on the segmented renal injury risk index curve, and determine the fluid infusion effectiveness index of each target patient at the current monitoring by combining the renal injury risk index of each target patient at each monitoring.

[0071] Here, the fluid infusion effectiveness index can characterize the effectiveness of the target patient during the fluid infusion process in the combat injury rescue stage. The larger the fluid infusion effectiveness index, the better the recovery stage of the target patient, and the lower the priority for medical resource allocation.

[0072] Since the initial burn severity of different target patients is different, and the wartime environment is complex, the impact on different burn patients is different, the specific fluid infusion plans and individual constitutions are also different. The fluid infusion plan can be formulated by doctors, resulting in differences in the degree of change of the physiological indicators of different patients during the fluid replacement process, that is, the effectiveness of fluid infusion for different target patients at different monitoring times is different. Therefore, by analyzing the degree of change of the renal injury risk of the target patient over time, the fluid infusion effectiveness index of the target patient can be obtained.

[0073] In this embodiment, if the renal injury risk of a certain target patient shows a decreasing trend and is significantly lower than the renal injury risk after the initial burn, it indicates that the fluid infusion effect of the target patient under the current monitoring is better and the recovery degree is higher.

[0074] The above step S4 can be implemented through Figure 4 the steps S41 to S45 shown as follows: S41. Obtain the renal injury risk index curve corresponding to each target patient.

[0075] In this embodiment, in order to analyze the overall trend change of the renal injury risk of the same target patient, the least squares method is used to perform curve fitting on all the renal injury risk indexes of the same target patient, and the renal injury risk index curve corresponding to each target patient can be obtained.

[0076] S42. Determine each extreme point of the renal injury risk index curve, and use the extreme points to segment the renal injury risk index curve. Denote the renal injury risk index curve segment containing each target patient at the current monitoring as the target curve segment.

[0077] In this embodiment, when allocating medical resources, the priority is mainly divided based on the patient's condition at the most recent monitoring. Therefore, only the target curve segment needs to be obtained as the renal injury risk index curve after segmentation. The target curve segment refers to the curve segment that includes the renal injury risk index of the current monitoring. Each target patient has its corresponding target curve segment. Compared with analyzing the entire renal injury risk index curve, analyzing only the target curve segment can not only reduce the amount of data analysis but also improve the accuracy of determining the fluid replacement effectiveness index in the subsequent process. Among them, the process of obtaining the extreme points in the curve is a prior art and is not within the scope of protection of the present invention, so it will not be elaborated in detail here.

[0078] S43. Determine the difference between the renal injury risk index at the starting moment and the renal injury risk index at the ending moment of the target curve segment as the first recovery trend index of the corresponding target patient at the current monitoring.

[0079] In this embodiment, the larger the first recovery trend index, the more obvious the trend of the reduction in renal injury risk, the better the fluid replacement effect of the target patient at the current monitoring, and the higher the recovery degree of the target patient; on the contrary, the smaller the first recovery trend index, the less obvious the trend of the reduction in renal injury risk, the worse the fluid replacement effect of the target patient at the current monitoring, and the lower the recovery degree of the target patient.

[0080] S44. Determine the renal injury risk index at the first monitoring of each target patient as the first index, and the renal injury risk index at the current monitoring as the second index, and take the ratio of the first index and the second index as the second recovery trend index.

[0081] In this embodiment, a larger second recovery trend index indicates that the renal injury risk index at the current monitoring is significantly lower than the renal injury risk after the initial burn, and the fluid replacement effect of the target patient at the current monitoring is better; on the contrary, a smaller second recovery trend index indicates that the reduction degree of the renal injury risk index at the current monitoring compared with the renal injury risk after the initial burn is smaller, and the fluid replacement effect of the target patient at the current monitoring is worse.

[0082] S45. Combine the first recovery trend index and the second recovery trend index to determine the fluid replacement effectiveness index of the corresponding target patient at the current monitoring.

[0083] In this embodiment, the first recovery trend index, the second recovery trend index, and the fluid replacement effectiveness index are all positively correlated.

[0084] As an example, the steps for determining the fluid replacement effectiveness index of the corresponding target patient at the current monitoring may include: For any target patient, calculate the product of the first recovery trend index and the second recovery trend index of the target patient at the current monitoring. Normalize the product to obtain the normalized value of the product, and use the normalized value of the product as the fluid replacement effectiveness index of the target patient at the current monitoring. Among them, the implementation means of normalization processing can be a linear normalization function.

[0085] So far, in this embodiment, the fluid replacement effectiveness index of each target patient at the current monitoring has been obtained.

[0086] S5. Combine the fluid replacement effectiveness index and the renal injury risk index of each target patient at the current monitoring to determine the priority index of each target patient for medical resource allocation at the current monitoring.

[0087] Here, the priority index refers to the priority degree of the current target patient for medical resource allocation. The larger the priority index, the earlier the target patient can be allocated medical resources for treatment.

[0088] Since the occurrence time of war-time burns is relatively concentrated and the war-time medical resources are relatively limited, in order to reasonably allocate the existing resources, it is necessary to quantify the severity of the condition based on the fluid replacement effectiveness index and the renal injury risk index of all current target patients, and then determine the priority index for allocating medical resources to the current target patient.

[0089] In this embodiment, if the fluid replacement effectiveness of a certain target patient is worse at the current monitoring and the renal injury risk is greater than that of the target patients other than this target patient, it indicates that the critical degree of the condition of this target patient is greater, and the priority of allocating medical resources to it is higher.

[0090] The above step S5 can be implemented through steps S51 to S54 (not shown in the figure): S51. Calculate the average value of the fluid replacement effectiveness indexes of all target patients at the current monitoring, and determine the maximum value of the renal injury risk indexes of all target patients at the current monitoring.

[0091] S52. For any target patient, use the ratio of the average value to the fluid replacement effectiveness index of the target patient at the current monitoring as the first priority factor for the target patient to allocate medical resources at the current monitoring.

[0092] S53. Calculate the difference between the maximum value and the renal injury risk index of the target patient at the current monitoring, perform negative correlation processing on the difference, and use the obtained negative correlation value as the second priority factor for the target patient to allocate medical resources at the current monitoring.

[0093] S54. Calculate the product of the first priority factor and the second priority factor, and normalize the product of the two priority factors to obtain the priority index for the target patient when allocating medical resources during the current monitoring.

[0094] As an example, the calculation formula for the priority index of the i-th target patient when allocating medical resources during the current monitoring can be: ; where represents the priority index of the i-th target patient when allocating medical resources during the current monitoring, represents the average value of the fluid replacement effectiveness indexes of all target patients during the current monitoring, represents the fluid replacement effectiveness index of the i-th target patient during the current monitoring, represents the maximum value of the renal injury risk indexes of all target patients during the current monitoring, represents the renal injury risk index of the i-th target patient during the current monitoring, represents the first priority factor for the i-th target patient when allocating medical resources during the current monitoring, represents the second priority factor for the i-th target patient when allocating medical resources during the current monitoring, and norm represents the linear normalization function.

[0095] In the calculation formula of the priority index, represents the difference between the renal injury risk index of the current target patient and the maximum renal injury risk index of all patients. The smaller its value, the greater the renal injury risk of the current target patient, and the higher the priority for allocating medical resources; represents the difference situation of the fluid replacement effectiveness index of the current target patient relative to the average value of the fluid replacement effectiveness indexes of all target patients, the greater it is, the worse the fluid replacement effectiveness of the current target patient, and the higher the priority for allocating medical resources. It should be noted that under normal circumstances, and both have no possibility of having a zero value. If there is an extreme situation, add a non-zero constant, such as 0.01, to the denominator position of to avoid the possibility of the fraction denominator being zero.

[0096] After obtaining the priority index for each target patient when allocating medical resources during the current monitoring, it also includes: In this embodiment, the central monitoring terminal is used to sequentially output the priority indices of each target patient for medical resource allocation during the current monitoring, that is, the priority indices of each target patient for medical resource allocation during the current monitoring are sequentially output in descending order, and the sorted priority index sequence is used as a reference sequence for medical staff to adjust the current medical resources, so as to provide a reference for medical staff to adjust medical resources.

[0097] So far, this embodiment has obtained the priority situation of medical resource allocation for all current target patients.

[0098] In summary, based on the characteristics that the wartime burn incidents are relatively concentrated and the medical resources are limited, the present invention uses the Picco device to monitor the patient's vital signs, thereby analyzing the risk of kidney injury and the effectiveness of fluid replacement for the patient, and combining the development of the conditions of all patients to analyze the priority indices for allocating medical resources to each patient, so as to provide a reference for medical staff to allocate the current medical resources.

[0099] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A medical resource allocation system for combat injury rescue, characterized in that, The allocation system includes a memory and a processor, and the processor is configured to process instructions stored in the memory to implement the following steps: Obtain the vital sign monitoring curves of several dimensions of physiological indicators of all target patients during the process of combat injury rescue, and then segment the vital sign monitoring curves to obtain monitoring curve segments corresponding to different time periods of each dimension of physiological indicators; Analyze the data abnormality degree of each time period according to the monitoring curve segments corresponding to different time periods of each dimension of physiological indicators of each target patient, so as to screen out each abnormal monitoring curve segment corresponding to each dimension of physiological indicators of each target patient; Determine the abnormal change degree of each abnormal monitoring curve segment corresponding to each dimension of physiological indicators; According to the abnormal change degree and each dimension of physiological indicators of each target patient at each monitoring, determine the renal injury risk index of each target patient at each monitoring; Obtain the renal injury risk index curve corresponding to each target patient, analyze the recovery trend of the target patient after fluid infusion according to the segmented renal injury risk index curve, and combine the renal injury risk index of each target patient at each monitoring to determine the fluid infusion effectiveness index of each target patient at the current monitoring; Combine the fluid infusion effectiveness index and the renal injury risk index of each target patient at the current monitoring to determine the priority index of each target patient for medical resource allocation at the current monitoring.

2. The medical resource allocation system for combat injury rescue according to claim 1, wherein The obtaining of the vital sign monitoring curves of several dimensions of physiological indicators of all target patients during the process of combat injury rescue includes: Obtain several dimensions of physiological indicators of all target patients during several monitors in the process of combat injury rescue. The target patients are patients equipped with Picco monitoring devices, and the dimensions of physiological indicators are mean arterial pressure, central venous pressure or central venous oxygen saturation; Perform negative correlation processing on the mean arterial pressure of all target patients at each monitoring to obtain the negative correlation value of the mean arterial pressure, and fit the negative correlation values of the mean arterial pressure of the same target patient at each monitoring in chronological order to obtain the mean arterial pressure time series curve; Fit the central venous pressure of the same target patient at each monitoring in chronological order to obtain the central venous pressure time series curve; fit the central venous oxygen saturation of the same target patient at each monitoring in chronological order to obtain the central venous oxygen saturation time series curve; The vital sign monitoring curve is the mean arterial pressure time series curve, the central venous pressure time series curve or the central venous oxygen saturation time series curve.

3. A medical resource allocation system for combat injury rescue according to claim 1, characterized in that, The analyzing of the data abnormality degree of each time period according to the monitoring curve segments corresponding to different time periods of each dimension of physiological indicators of each target patient, so as to screen out each abnormal monitoring curve segment corresponding to each dimension of physiological indicators of each target patient, includes: For any time period of any dimension of physiological indicators of any target patient, determine the curve value at the starting point, the curve value at the ending point and the curve mean value in the monitoring curve segment corresponding to this time period of this dimension of physiological indicators of this target patient as the first curve value, the second curve value and the third curve value; Calculate the average of the curve means of the monitored curve segments in the corresponding time period of other target patients other than the target patient during the time period, which is the fourth curve value; wherein, the corresponding time period is the time period with the most repeated moments corresponding to other target patients and the time period; Analyze the growth rate of the physiological index of this dimension and the differences in the physiological index of this dimension among different target patients by combining the first curve value, the second curve value, the third curve value and the fourth curve value, and determine the data abnormality degree of this time period; Obtain the data abnormality degree of each time period of each physiological index of each target patient, set a data abnormality threshold, and use the monitored curve segment of the time period with the data abnormality degree greater than the data abnormality threshold as the abnormal monitored curve segment.

4. A medical resource allocation system for combat wound rescue according to claim 3, characterized in that, The combining the first curve value, the second curve value, the third curve value and the fourth curve value to analyze the growth rate of the physiological index of this dimension and the differences in the physiological index of this dimension among different target patients, and determining the data abnormality degree of this time period includes: Obtain the duration of this time period corresponding to the physiological index of this dimension of the target patient; Calculate the difference between the second curve value and the first curve value, and use the ratio of the difference to the duration as the first data abnormality factor of this time period; Use the ratio of the third curve value and the fourth curve value as the second data abnormality factor of this time period; Use the fusion value obtained based on the first data abnormality factor and the second data abnormality factor as the data abnormality degree of this time period; Wherein, both the first data abnormality factor and the second data abnormality factor are positively correlated with the data abnormality degree.

5. A medical resource allocation system for combat injury rescue according to claim 1, characterized in that, The determining the abnormal change degree of each abnormal monitored curve segment corresponding to each physiological index of each dimension includes: For any abnormal monitored curve segment, obtain any adjacent abnormal monitored curve segment as the comparison curve segment; Calculate the absolute value of the difference between the data abnormality degree of the abnormal monitored curve segment and the data abnormality degree of the comparison curve segment; Use the ratio of the absolute value of the difference to the data abnormality degree of the abnormal monitored curve segment as the abnormal change degree of the abnormal monitored curve segment.

6. The medical resource allocation system for combat injury rescue according to claim 3, wherein The determining the renal injury risk index of each target patient at each monitoring according to the abnormal change degree and each physiological index of each dimension of each target patient at each monitoring includes: Determine the correlation index of the target patient in the physiological index of this dimension according to the difference in the abnormal change degree of the abnormal monitored curve segments corresponding to the same physiological index of any target patient and other target patients; Obtain the correlation index of each physiological index of each dimension of each target patient, and use the correlation index to perform weighted summation processing on the corresponding physiological index of the same target patient at the same monitoring, and obtain the renal injury risk index of each target patient at each monitoring.

7. A medical resource allocation system for combat injury rescue according to claim 1, characterized in that The analyzing the recovery trend of the target patient after fluid infusion according to the segmented renal injury risk index curve, and combining the renal injury risk index of each target patient at each monitoring to determine the fluid infusion effectiveness index of each target patient at the current monitoring includes: Determine the extreme points of the renal injury risk index curve, and use the extreme points to segment the renal injury risk index curve. Denote the renal injury risk index curve segment containing each target patient at the current monitoring as the target curve segment; Determine the difference between the renal injury risk index at the start time and the renal injury risk index at the end time of the target curve segment, and take it as the first recovery trend index of the corresponding target patient at the current monitoring; Determine that the renal injury risk index of each target patient at the first monitoring is the first index, and the renal injury risk index at the current monitoring is the second index. Take the ratio of the first index and the second index as the second recovery trend index; Combine the first recovery trend index and the second recovery trend index to determine the fluid infusion effectiveness index of the corresponding target patient at the current monitoring.

8. The medical resource allocation system for combat injury rescue according to claim 7, characterized in that, The combining the first recovery trend index and the second recovery trend index to determine the fluid infusion effectiveness index of the corresponding target patient at the current monitoring includes: For any target patient, calculate the product of the first recovery trend index and the second recovery trend index of the target patient at the current monitoring, normalize the product to obtain the normalized value of the product, and take the normalized value of the product as the fluid infusion effectiveness index of the target patient at the current monitoring.

9. A medical resource allocation system for combat injury rescue according to claim 1, characterized in that, The combining the fluid infusion effectiveness index and the renal injury risk index of each target patient at the current monitoring to determine the priority index for medical resource allocation of each target patient at the current monitoring includes: Calculate the average value of the fluid infusion effectiveness indices of all target patients at the current monitoring, and determine the maximum value of the renal injury risk indices of all target patients at the current monitoring; For any target patient, take the ratio of the average value to the fluid infusion effectiveness index of the target patient at the current monitoring as the first priority factor for the target patient to allocate medical resources at the current monitoring; Calculate the difference between the maximum value and the renal injury risk index of the target patient at the current monitoring, perform a negative correlation process on the difference, and take the obtained negative correlation value as the second priority factor for the target patient to allocate medical resources at the current monitoring; Calculate the product of the first priority factor and the second priority factor, and normalize the product of the two priority factors to obtain the priority index for the target patient to allocate medical resources at the current monitoring.

10. A medical resource allocation system for combat injury rescue according to claim 9, characterized in that, After obtaining the priority index for each target patient to allocate medical resources at the current monitoring, it further includes: Arrange the priority indices for each target patient to allocate medical resources at the current monitoring in descending order to obtain a reference sequence for medical staff to adjust the current medical resources.

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