Intelligent daytime ward full-process management method, system, equipment and medium

Abstract

The invention discloses an intelligent daytime ward full-process management method, system, equipment and medium, and relates to the technical field of ward management, and the method comprises the steps: obtaining medical equipment management parameters, ward environment preference parameters and resource scheduling parameters based on medical equipment in a ward, a ward environment and resource configuration; performing unified analysis by using a parameter unified adjustment method to obtain a standard management graph of the patient; based on real-time data collected in the ward, a real-time management graph is obtained, and the ward is managed; the method is used for solving the problems that in the prior art, the source of abnormal information cannot be effectively analyzed based on data processing, although alarm management can be provided, the alarm content is inaccurate, and patients and doctors cannot be assisted to efficiently and accurately process abnormities in a ward.

Description

Technical Field

[0001] The present invention relates to the technical field of ward management, and in particular to a full-process management method, system, equipment and medium for an intelligent day ward. Background Art

[0002] Ward management is an important part of hospital management, which involves the daily operation of the ward, the patient's life care, the rational allocation of medical resources and other aspects; a good ward management can improve the hospital's service quality and ensure the patient's safety and comfort; ward management includes ward environment, patient care and medical resources; ward environment is one of the important conditions for patient recovery. The ward should be well ventilated, with appropriate temperature and moderate humidity. The ward should be kept clean and tidy, and disinfected and sterilized regularly to avoid cross infection.

[0003] The existing methods for the whole process management of wards usually judge whether there is abnormal information in the ward through the monitoring data of the patient status in the ward, and then compare the abnormal information with the normal information to obtain the alarm information, so as to manage the wards where abnormalities occur and alarm information is issued in the process of managing the wards and patients. Although this improved method can improve the efficiency of ward management compared with the traditional management method, the judgment of abnormal information and alarm information is too broad, and it can only issue an alarm for abnormal information, and it is impossible to effectively analyze the source of abnormal information based on data processing, resulting in the problem that although alarm management can be provided, the alarm content is inaccurate, and it is impossible to assist patients and doctors to efficiently and accurately deal with abnormalities in the ward. For example, in the patent application with publication number CN115359895A, an intelligent Smart ward management method, intelligent extension, system and storage medium. This solution uses patient status monitoring data information to determine whether the current patient has abnormal status information, generates alarm information based on abnormal status information and patient basic data information, and actively sends the alarm information to the target response terminal. Other improvements in the whole process management of the ward are usually improvements in the cloud or model building. This improvement method is usually used to optimize the efficiency of information transmission and data processing. In the alarm method for abnormal information, it is still impossible to effectively analyze the source of the abnormal information based on data processing, resulting in the problem that although alarm management can be provided, the alarm content is inaccurate, and it is impossible to assist patients and doctors to efficiently and accurately deal with abnormalities in the ward. In view of this, it is necessary to improve the existing whole process management method of the ward. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by proposing a full-process management method, system, equipment and medium for an intelligent day ward, which is used to solve the problem that the existing full-process management method of the ward cannot effectively analyze the source of abnormal information based on data processing, resulting in the existence of alarm management, but the alarm content is inaccurate, and it is unable to assist patients and doctors to efficiently and accurately handle abnormalities in the ward.

[0005] To achieve the above objectives, in a first aspect, the present application provides a full-process management method for an intelligent day ward, comprising the following steps: Based on the medical equipment, ward environment and resource allocation in the ward, obtain the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward respectively; Use the parameter unified adjustment method to conduct a unified analysis of medical equipment management parameters, ward environment preference parameters, and resource scheduling parameters, and obtain the patient's standard management diagram based on the analysis results; Based on the real-time data collected in the ward, real-time management graphics are obtained, and the ward is managed based on the real-time management graphics and standard management graphics.

[0006] Furthermore, obtaining the medical equipment management parameters of the patient in the ward based on the medical equipment in the ward includes: Obtain the medical equipment used for patient treatment in the ward and record them as available medical equipment YS 1 To available medical equipment YS n For any available medical device YS, a plane rectangular coordinate system is established, which is recorded as a medical device analysis coordinate system, wherein the unit of the X-axis of the medical device analysis coordinate system is time, and the unit of the Y-axis is power consumption or medical device parameters, wherein the medical device parameters are the units of the parameters recorded in the available medical device YS; When the unit of the Y-axis is power consumption, the interval corresponding to the unit power consumption of the available medical device YS in normal operation is obtained based on the device parameters of the available medical device YS, which is recorded as the conventional medical device interval, and the corresponding curve is drawn in the medical device analysis coordinate system based on the real-time unit power consumption of the medical device YS, which is recorded as the medical device power consumption curve, wherein the unit power consumption is the power consumed by the medical device YS per second; The maximum value and the minimum value in the conventional medical equipment interval are recorded as the peak value of medical equipment electricity consumption and the valley value of medical equipment electricity consumption, respectively. A straight line Y = the peak value of medical equipment electricity consumption and a straight line Y = the valley value of medical equipment electricity consumption are drawn in the medical equipment analysis coordinate system, and the area below the straight line Y = the peak value of medical equipment electricity consumption and the area above the straight line Y = the valley value of medical equipment electricity consumption overlapped are recorded as the electricity consumption restriction area; When the unit of the Y-axis is the medical device parameter, a corresponding curve is drawn in the medical device analysis coordinate system based on the parameters recorded in real time by the medical device YS, and is recorded as the patient medical parameter curve; based on the patient's medical data, the normal range of the patient's medical device parameters when the available medical device YS records the patient's data is obtained, and is recorded as the conventional medical parameter range; The maximum value and the minimum value in the conventional medical parameter interval are recorded as the medical parameter peak value and the medical parameter valley value respectively. In the medical device analysis coordinate system, a straight line Y=medical parameter peak value and a straight line Y=medical parameter valley value are drawn respectively. The area below the straight line Y=medical parameter peak value and the area above the straight line Y=medical parameter valley value that overlaps are recorded as the medical parameter restriction area.

[0007] Furthermore, obtaining the medical equipment management parameters of the patient in the ward based on the medical equipment in the ward also includes: The vertical coordinate of the rightmost point of the medical equipment power consumption curve is marked as the real-time instantaneous power, and the vertical coordinate of the rightmost point of the patient's medical parameter curve is marked as the real-time medical parameter value; the patient's medical equipment management parameters are obtained, wherein the medical equipment management parameters are obtained using the medical equipment management algorithm, and the medical equipment management algorithm is: , where F is the medical equipment management parameter, f 1 The value of the peak power consumption of medical equipment minus the real-time instantaneous power consumption multiplied by the real-time instantaneous power consumption minus the peak power consumption of medical equipment, f 2 is the value of the medical parameter peak value minus the real-time medical parameter value multiplied by the value of the real-time medical parameter value minus the medical parameter valley value, T is the abscissa of the rightmost point of the patient's medical parameter curve, t is the number of curve segments in the patient's medical parameter curve that are not in the regular medical parameter interval, S i It is the length of the i-th curve segment in the patient's medical reference curve that is not in the conventional medical reference area.

[0008] Further, obtaining the ward environment preference parameters of the patient in the ward based on the ward environment in the ward includes: Obtain a device in the ward that collects data about the ward environment, recorded as an environment collection device, and record all environmental data that can be collected by the environment collection device as ward environment data; obtain the normal range corresponding to all environmental data in the patient's ward based on the patient's medical data, and record it as the normal environment range of each environmental data; When any of the environmental data α in the ward environmental data is not within the normal environmental range of the environmental data α, the environmental data α is recorded as unconventional data, and the unconventional parameters of the unconventional data are obtained; the unconventional parameters are: when the value corresponding to the unconventional data is less than the minimum value of the normal environmental range, is recorded as an unconventional parameter; when the value corresponding to the unconventional data is greater than the maximum value of the normal environment range, Denoted as unconventional parameters, where r 0 is the value corresponding to the unconventional data, rmax is the maximum value of the normal environment range, r min is the minimum value of the normal environment range; When any one of the environmental data α in the ward environmental data is within the normal environmental range of the environmental data α, the unconventional parameter of the environmental data α is set to 0; The sum of the unconventional parameters of all environmental data was recorded as the ward environmental preference parameter.

[0009] Furthermore, obtaining resource scheduling parameters for patients in the ward based on the resource configuration in the ward includes: Based on the patient's medical data, all types of medical resources scheduled in the ward are obtained and recorded as ward resource BZ1 to ward resource BZ u , for any ward resource BZ e , real-time access to ward resources BZ in the ward e The amount of resources is recorded as the real-time resource amount. When the real-time resource amount is less than the ward resource BZ e When the scheduling resource amount is calculated, the difference between the real-time resource amount and the scheduling resource amount is recorded as the ward resource BZ e When the real-time resource quantity is greater than or equal to the scheduled resource quantity, the ward resource BZ e The scheduling difference is set to 0, where the scheduling resource amount is the ward resource BZ recorded in the patient's medical data. e The amount of resources, e is a positive integer less than or equal to u and greater than or equal to 1; The sum of the scheduling differences of all ward resources BZ is recorded as the resource scheduling parameter.

[0010] Furthermore, the parameter unified adjustment method includes: A spatial coordinate system is established, recorded as a uniformly adjusted coordinate system, wherein the X-axis, Y-axis and Z-axis of the uniformly adjusted coordinate system are all constant axes; within the uniformly adjusted coordinate system: the points in the X-axis whose values ​​are medical equipment management parameters are recorded as equipment points, the points in the Y-axis whose values ​​are ward environment preference parameters are recorded as environment points, and the points in the Z-axis whose values ​​are resource scheduling parameters are recorded as resource points; a graph composed of equipment points, environment points and resource points under standard conditions is recorded as a standard management graph, wherein the standard condition is a situation in which the medical equipment in the ward operates normally, the ward environment meets the standards, the resource configuration is fully allocated, and the patient is in good condition.

[0011] Furthermore, based on the real-time data collected in the ward, a real-time management graph is obtained, and the ward is managed based on the real-time management graph and the standard management graph, including: The graph consisting of equipment points, environment points and resource points drawn based on the real-time acquired medical equipment management parameters, ward environment preference parameters and resource scheduling parameters is recorded as a real-time management graph. When the real-time management graph is a triangle, the points in the environment points and resource points that are not 0 are recorded as abnormal points, and the ward environment or resource configuration corresponding to the abnormal point is notified to the staff for management; When the real-time management graph is a point, the medical device is recorded as an abnormal point, and the abnormal point is notified to the staff for management; When the real-time management graph overlaps with a quadrant other than the first quadrant, the patient is recorded as an abnormal point, and the abnormal point is notified to the staff for management; When the real-time management graph is a line and does not overlap with the standard management graph, the points that are not 0 in the environmental points and resource points and the medical equipment are recorded as abnormal points, and the abnormal points are notified to the staff for management.

[0012] In a second aspect, the present application also provides a smart day ward full-process management system, including a ward parameter analysis module, a parameter unified management module and a ward management module; The ward parameter analysis module is used to obtain the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward based on the medical equipment, ward environment and resource configuration in the ward; The parameter unified management module is used to use the parameter unified adjustment method to perform unified analysis on medical equipment management parameters, ward environment preference parameters and resource scheduling parameters, and obtain the multi-process analysis parameters of the patient based on the analysis results; obtain the patient's standard management graph based on the multi-process analysis parameters; The ward management module is used to obtain real-time management graphics based on real-time data collected in the ward, and manage the ward based on the real-time management graphics and standard management graphics.

[0013] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above method are performed.

[0014] In a fourth aspect, the present application provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the above method are performed.

[0015] Beneficial effects of the present invention: The present application first obtains the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward based on the medical equipment, ward environment and resource configuration in the ward. The advantage of this is that by obtaining the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters, the data related to the patients in the ward can be collected and analyzed in a diversified manner, so as to obtain the differentiation of each type of data, which is helpful for obtaining the source of abnormal information based on the analysis results in the subsequent analysis, thereby assisting the staff to handle abnormal phenomena efficiently and accurately during management; This application also uses a unified parameter adjustment method to perform a unified analysis of medical equipment management parameters, ward environment preference parameters, and resource scheduling parameters, and obtains the patient's standard management graph based on the analysis results; finally, based on the real-time data collected in the ward, a real-time management graph is obtained, and the ward is managed based on the real-time management graph and the standard management graph. The advantage of this is that by obtaining the real-time management graph and using the real-time management graph and the standard management graph for analysis, it is possible to obtain, through differential analysis, the abnormal information existing in the ward compared to the standard situation and the corresponding source of the abnormal information, so as to ensure that the alarm source is accurately and efficiently handled while providing alarm management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a functional block diagram of the system of the present invention; Figure 2 is a flow chart of the steps of the method of the present invention; Figure 3 It is a schematic diagram of obtaining the power consumption curve of medical equipment and the medical parameter curve of patients according to the present invention; Figure 4 A schematic diagram of a real-time management graph of the present invention; Figure 5 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example 1, please refer to Figure 1 As shown, the present application provides a smart day ward full-process management system, including a ward parameter analysis module, a parameter unified management module and a ward management module; The ward parameter analysis module is used to obtain the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward based on the medical equipment, ward environment and resource configuration in the ward; The ward parameter analysis module includes an equipment parameter analysis unit, an environment parameter analysis unit and a resource parameter analysis unit. The equipment parameter analysis unit is configured with an equipment parameter analysis strategy, which includes: Obtain the medical equipment used for patient treatment in the ward and record them as available medical equipment YS 1 To available medical equipment YS n For any available medical device YS, a plane rectangular coordinate system is established, which is recorded as a medical device analysis coordinate system, wherein the unit of the X-axis of the medical device analysis coordinate system is time, and the unit of the Y-axis is power consumption or medical device parameters, wherein the medical device parameters are the units of the parameters recorded in the available medical device YS; In the specific implementation process, the available medical equipment YS may include multi-parameter monitoring equipment, ventilators, electrocardiographs, rapid blood glucose meters and other equipment that can be used in the ward. The available medical equipment YS may be set according to the medical equipment equipped in the ward during actual application; When the unit of the Y-axis is power consumption, the interval corresponding to the unit power consumption of the available medical device YS in normal operation is obtained based on the device parameters of the available medical device YS, which is recorded as the conventional medical device interval, and the corresponding curve is drawn in the medical device analysis coordinate system based on the real-time unit power consumption of the medical device YS, which is recorded as the medical device power consumption curve, wherein the unit power consumption is the power consumed by the medical device YS per second; The maximum value and the minimum value in the conventional medical equipment interval are recorded as the peak value of medical equipment electricity consumption and the valley value of medical equipment electricity consumption, respectively. A straight line Y = the peak value of medical equipment electricity consumption and a straight line Y = the valley value of medical equipment electricity consumption are drawn in the medical equipment analysis coordinate system, and the area below the straight line Y = the peak value of medical equipment electricity consumption and the area above the straight line Y = the valley value of medical equipment electricity consumption overlapped are recorded as the electricity consumption restriction area; In the specific implementation process, for example, during a data processing, the obtained medical device analysis coordinate system is as follows Figure 3As shown, the solid line SX1 and the solid line SX2 are respectively the straight line Y=peak value of medical equipment power consumption and the straight line Y=valley value of medical equipment power consumption. Through analysis, it can be obtained that the area QY1 is the power consumption restriction area; the dotted line XX1 and the dotted line XX2 are respectively the straight line Y=peak value of medical reference and the straight line Y=valley value of medical reference. Through analysis, it can be obtained that the area QY2 is the medical reference restriction area. In addition, the curve HD is the power consumption curve of medical equipment, and the curve YS is the patient medical reference curve. By obtaining the power consumption restriction area, the medical reference restriction area, the power consumption curve of medical equipment and the patient medical reference curve, the relevant parameters corresponding to the operation of the medical equipment and the patient's status in the ward during the monitoring of the patient can be obtained, which is helpful to provide data support for the source of abnormal information in subsequent analysis; When the unit of the Y-axis is the medical device parameter, a corresponding curve is drawn in the medical device analysis coordinate system based on the parameters recorded in real time by the medical device YS, and is recorded as the patient medical parameter curve; based on the patient's medical data, the normal range of the patient's medical device parameters when the available medical device YS records the patient's data is obtained, and is recorded as the conventional medical parameter range; The maximum value and the minimum value in the conventional medical reference interval are recorded as the medical reference peak value and the medical reference valley value, respectively. A straight line Y = medical reference peak value and a straight line Y = medical reference valley value are drawn in the medical reference analysis coordinate system, respectively. The area below the straight line Y = medical reference peak value and the area above the straight line Y = medical reference valley value that overlap are recorded as the medical reference restriction area. The vertical coordinate of the rightmost point of the medical equipment power consumption curve is marked as the real-time instantaneous power, and the vertical coordinate of the rightmost point of the patient's medical parameter curve is marked as the real-time medical parameter value; the patient's medical equipment management parameters are obtained, wherein the medical equipment management parameters are obtained using the medical equipment management algorithm, and the medical equipment management algorithm is: , where F is the medical equipment management parameter, f 1 The value of the peak power consumption of medical equipment minus the real-time instantaneous power consumption multiplied by the real-time instantaneous power consumption minus the peak power consumption of medical equipment, f 2 is the value of the medical parameter peak value minus the real-time medical parameter value multiplied by the value of the real-time medical parameter value minus the medical parameter valley value, T is the abscissa of the rightmost point of the patient's medical parameter curve, t is the number of curve segments in the patient's medical parameter curve that are not in the regular medical parameter interval, S i is the length of the i-th curve segment in the patient's medical reference curve that is not in the conventional medical reference area; In the specific implementation process, for example, during a data processing, the conventional medical range is 100 joules to 300 joules, and the real-time instantaneous power is 140 joules. Then, by calculation, f 1 Greater than 0; the available medical device YS is an electrocardiograph, and the corresponding medical device parameter is the PR interval. Through data acquisition, the conventional medical parameter interval is 0.12 to 0.2 seconds, and the real-time medical parameter value is 0.14 seconds. Then, by calculation, it can be obtained that f 2is greater than 0, so the medical equipment management parameter can be set as the abscissa of the rightmost point of the patient's medical parameter interval, that is, the length of time the patient uses the electrocardiograph; In this embodiment, when f 1 When it is greater than or equal to 0, it means that the medical equipment YS is in normal working state, that is, the power consumption is in the normal range; when f 1 When it is less than 0, it means that the operation of medical equipment YS is abnormal. At this time, the patient's real-time medical parameter value will be inaccurate due to the abnormality of medical equipment YS. Therefore, there is no need to consider the patient's real-time medical parameter value. The medical equipment management parameter can be directly set to 0 and subsequent analysis can be performed; when f 2 When it is less than 0, it means that the patient's medical parameters are outside the normal conventional medical reference range. By obtaining the total length of the curve segments in the patient's medical reference curve that are not in the conventional medical reference range, it can assist doctors in judging the patient's actual condition and thus perform accurate management; 2 When it is greater than or equal to 0, it means that the patient's medical device parameters are within the normal conventional medical parameter range, and can be briefly recorded through the time the patient uses the medical device YS.

[0019] The environmental parameter analysis unit is configured with an environmental parameter analysis strategy, which includes: obtaining a device in the ward that collects data on the ward environment, recorded as an environmental collection device, and recording all environmental data that can be collected by the environmental collection device as ward environmental data; obtaining the normal interval corresponding to all environmental data in the patient's ward based on the patient's medical data, and recording it as the normal environmental interval of each environmental data; In the specific implementation process, in actual application, the environmental collection equipment may include temperature and humidity detection equipment, air quality detection equipment, noise detection equipment and other equipment that can improve the comfort, safety and treatment effect of the ward. The environmental data and the normal environmental range corresponding to each environmental data can be obtained according to the environmental collection equipment actually equipped in the ward; When any of the environmental data α in the ward environmental data is not within the normal environmental range of the environmental data α, the environmental data α is recorded as unconventional data, and the unconventional parameters of the unconventional data are obtained; the unconventional parameters are: when the value corresponding to the unconventional data is less than the minimum value of the normal environmental range, is recorded as an unconventional parameter; when the value corresponding to the unconventional data is greater than the maximum value of the normal environment range, Denoted as unconventional parameters, where r 0 is the value corresponding to the unconventional data, r max is the maximum value of the normal environment range, r min is the minimum value of the normal environment range; In the specific implementation process, for example, in a data processing, the environmental data α is obtained as noise decibels, and the normal environmental range of noise decibels is 30 decibels to 45 decibels. When the environmental data α is 50 decibels, the environmental data α can be recorded as unconventional data, and at the same time, it can be obtained through calculation that the unconventional parameter is one-third; by obtaining the unconventional parameters, the characteristic parameters of the environmental data when abnormalities occur can be obtained, which is helpful to provide data support for the source analysis of abnormal information in subsequent analysis; When any one of the environmental data α in the ward environmental data is within the normal environmental range of the environmental data α, the unconventional parameter of the environmental data α is set to 0; The sum of the unconventional parameters of all environmental data was recorded as the ward environmental preference parameter.

[0020] The resource parameter analysis unit is configured with a resource parameter analysis strategy, which includes: obtaining all types of medical resources scheduled in the ward based on the patient's medical data, and recording them in sequence as ward resources BZ1 to ward resources BZ u , for any ward resource BZ e , real-time access to ward resources BZ in the ward e The amount of resources is recorded as the real-time resource amount. When the real-time resource amount is less than the ward resource BZ e When the scheduling resource amount is calculated, the difference between the real-time resource amount and the scheduling resource amount is recorded as the ward resource BZ e When the real-time resource quantity is greater than or equal to the scheduled resource quantity, the ward resource BZ e The scheduling difference is set to 0, where the scheduling resource amount is the ward resource BZ recorded in the patient's medical data. e The amount of resources, e is a positive integer less than or equal to u and greater than or equal to 1; In the specific implementation process, the types of medical resources dispatched in the ward may include medical equipment resources, nursing and medical personnel resources, medicine and consumables resources, and environmental resources that can be allocated to the ward; for example, in reality, the ward resource BZ is a nursing personnel resource, and the resource dispatch quantity is 4 nursing personnel, and when the real-time resource quantity is 1 nursing personnel, 3 can be recorded as the dispatch difference, that is, the difference obtained due to the inability to meet the required medical resources, which is helpful to provide data support for the source analysis of abnormal information in subsequent analysis; The sum of the scheduling differences of all ward resources BZ is recorded as the resource scheduling parameter.

[0021] The parameter unified management module is used to use the parameter unified adjustment method to perform unified analysis on medical equipment management parameters, ward environment preference parameters and resource scheduling parameters, and obtain the multi-process analysis parameters of the patient based on the analysis results; obtain the patient's standard management graph based on the multi-process analysis parameters; The unified parameter adjustment method includes: establishing a spatial coordinate system, recorded as a unified adjustment coordinate system, wherein the X-axis, Y-axis and Z-axis of the unified adjustment coordinate system are all constant axes; within the unified adjustment coordinate system: recording the points in the X-axis whose values ​​are medical equipment management parameters as equipment points, recording the Y-axis whose values ​​are ward environment preference parameters as environment points, and recording the points in the Z-axis whose values ​​are resource scheduling parameters as resource points; recording the graph composed of equipment points, environment points and resource points under standard conditions as standard management graphs, wherein the standard condition is that the medical equipment in the ward operates normally, the ward environment meets the standards, the resource configuration is fully allocated, and the patient is in good condition.

[0022] The ward management module is used to obtain real-time management graphics based on real-time data collected in the ward, and manage the ward based on the real-time management graphics and standard management graphics; the ward management module includes a ward real-time management unit, and the ward real-time management unit is configured with a ward real-time management strategy, which includes: The graph consisting of equipment points, environment points and resource points drawn based on the real-time acquired medical equipment management parameters, ward environment preference parameters and resource scheduling parameters is recorded as a real-time management graph. When the real-time management graph is a triangle, the points in the environment points and resource points that are not 0 are recorded as abnormal points, and the ward environment or resource configuration corresponding to the abnormal point is notified to the staff for management; In the specific implementation process, for example, during a data processing, the real-time management graph obtained is as follows: Figure 4 As shown, point DD1, point DD2 and point DD3 are equipment point, environment point and resource respectively. Figure 4 It can be obtained that the real-time management graph is a triangle, which means that there are one or more non-zero points in the environment points and resource points, that is, the environment data or resource data is abnormal; at the same time, the real-time management graph at this time coincides with the quadrants other than the first quadrant, indicating that the patient's medical parameters are outside the normal conventional medical parameter range, and the patient should be managed in a timely manner; When the real-time management graph is a point, the medical device is recorded as an abnormal point, and the abnormal point is notified to the staff for management; When the real-time management graph coincides with a quadrant other than the first quadrant, the patient is recorded as an abnormal point, and the abnormal point is notified to the staff for management; When the real-time management graph is a line and does not overlap with the standard management graph, the points that are not 0 in the environmental points and resource points and the medical equipment are recorded as abnormal points, and the abnormal points are notified to the staff for management.

[0023] Example 2, please refer to Figure 2 As shown, the present application also provides a full-process management method for an intelligent day ward, comprising the following steps: Step S1, based on the medical equipment, ward environment and resource configuration in the ward, respectively obtain the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward; Step S1 includes: Step S101, obtaining medical equipment used for patient treatment in the ward and recording them as available medical equipment YS 1 To available medical equipment YS n For any available medical device YS, a plane rectangular coordinate system is established, which is recorded as a medical device analysis coordinate system, wherein the unit of the X-axis of the medical device analysis coordinate system is time, and the unit of the Y-axis is power consumption or medical device parameters, wherein the medical device parameters are the units of the parameters recorded in the available medical device YS; Step S102, when the unit of the Y axis is power consumption, the interval corresponding to the unit power consumption of the available medical device YS in normal operation is obtained based on the device parameters of the available medical device YS, which is recorded as the normal medical device interval, and a corresponding curve is drawn in the medical device analysis coordinate system based on the real-time unit power consumption of the medical device YS, which is recorded as the medical device power consumption curve, wherein the unit power consumption is the power consumed by the medical device YS per second; Step S103, the maximum value and the minimum value in the conventional medical device interval are recorded as the medical device power consumption peak value and the medical device power consumption valley value, respectively, and a straight line Y=medical device power consumption peak value and a straight line Y=medical device power consumption valley value are drawn in the medical device analysis coordinate system, and the area below the straight line Y=medical device power consumption peak value and the area above the straight line Y=medical device power consumption valley value overlapping are recorded as the power consumption restriction area; Step S104, when the unit of the Y axis is the medical device parameter, based on the parameters recorded in real time by the medical device YS, a corresponding curve is drawn in the medical device analysis coordinate system, which is recorded as the patient medical parameter curve; based on the patient's medical data, a normal range of the patient's medical device parameters when the medical device YS records the patient's data is obtained, which is recorded as the normal medical parameter range; Step S105, record the maximum value and the minimum value in the conventional medical parameter interval as the medical parameter peak value and the medical parameter valley value, draw a straight line Y=medical parameter peak value and a straight line Y=medical parameter valley value in the medical device analysis coordinate system, and record the area below the straight line Y=medical parameter peak value and the area above the straight line Y=medical parameter valley value as the medical parameter restriction area; Step S106, mark the vertical coordinate of the rightmost point of the medical device power consumption curve as the real-time instantaneous power, and mark the vertical coordinate of the rightmost point of the patient's medical parameter curve as the real-time medical parameter value; obtain the patient's medical device management parameters, wherein the medical device management parameters are obtained using a medical device management algorithm, and the medical device management algorithm is: , where F is the medical equipment management parameter, f 1 The value of the peak power consumption of medical equipment minus the real-time instantaneous power consumption multiplied by the real-time instantaneous power consumption minus the peak power consumption of medical equipment, f2 is the value of the medical parameter peak value minus the real-time medical parameter value multiplied by the value of the real-time medical parameter value minus the medical parameter valley value, T is the abscissa of the rightmost point of the patient's medical parameter curve, t is the number of curve segments in the patient's medical parameter curve that are not in the regular medical parameter interval, S i is the length of the i-th curve segment in the patient's medical reference curve that is not in the conventional medical reference area; Step S107, obtaining a device in the ward that collects data on the ward environment, recorded as an environment collection device, and recording all environmental data that can be collected by the environment collection device as ward environment data; obtaining the normal range corresponding to all environmental data in the patient's ward based on the patient's medical data, and recording it as the normal environment range of each environmental data; Step S108, when any one of the environmental data α in the ward environmental data is not within the normal environmental interval of the environmental data α, the environmental data α is recorded as unconventional data, and unconventional parameters of the unconventional data are obtained; the unconventional parameters are: when the value corresponding to the unconventional data is less than the minimum value of the normal environmental interval, is recorded as an unconventional parameter; when the value corresponding to the unconventional data is greater than the maximum value of the normal environment range, Denoted as unconventional parameters, where r 0 is the value corresponding to the unconventional data, r max is the maximum value of the normal environment range, r min is the minimum value of the normal environment range; Step S109, when any one of the environmental data α in the ward environmental data is within the normal environmental range of the environmental data α, the unconventional parameter of the environmental data α is set to 0; Step S110, recording the sum of all the unconventional parameters of the environmental data as the ward environmental preference parameter; Step S111, based on the patient's medical data, obtain all types of medical resources scheduled in the ward, and record them as ward resources BZ1 to ward resources BZ u , for any ward resource BZ e , real-time access to ward resources BZ in the ward e The amount of resources is recorded as the real-time resource amount. When the real-time resource amount is less than the ward resource BZ e When the scheduling resource amount is calculated, the difference between the real-time resource amount and the scheduling resource amount is recorded as the ward resource BZ e When the real-time resource quantity is greater than or equal to the scheduled resource quantity, the ward resource BZ e The scheduling difference is set to 0, where the scheduling resource amount is the ward resource BZ recorded in the patient's medical data. e The amount of resources, e is a positive integer less than or equal to u and greater than or equal to 1; Step S112: Record the sum of the scheduling differences of all ward resources BZ as a resource scheduling parameter.

[0024] Step S2, using a unified parameter adjustment method to perform a unified analysis on medical equipment management parameters, ward environment preference parameters, and resource scheduling parameters, and obtaining a standard management graph for the patient based on the analysis results; The unified parameter adjustment method includes: establishing a spatial coordinate system, recorded as a unified adjustment coordinate system, wherein the X-axis, Y-axis and Z-axis of the unified adjustment coordinate system are all constant axes; within the unified adjustment coordinate system: recording the points in the X-axis whose values ​​are medical equipment management parameters as equipment points, recording the Y-axis whose values ​​are ward environment preference parameters as environment points, and recording the points in the Z-axis whose values ​​are resource scheduling parameters as resource points; recording the graph composed of equipment points, environment points and resource points under standard conditions as standard management graphs, wherein the standard condition is that the medical equipment in the ward operates normally, the ward environment meets the standards, the resource configuration is fully allocated, and the patient is in good condition.

[0025] Step S3, based on the real-time data collected in the ward, a real-time management graph is obtained, and the ward is managed based on the real-time management graph and the standard management graph; Step S3 includes: step S301, recording a graph consisting of equipment points, environment points and resource points drawn based on the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters obtained in real time as a real-time management graph, when the real-time management graph is a triangle, recording the points of the environment points and resource points that are not 0 as abnormal points, and notifying the staff of the ward environment or resource configuration corresponding to the abnormal point for management; Step S302, when the real-time management graph is a point, the medical device is recorded as an abnormal point, and the abnormal point is notified to the staff for management; Step S303, when the real-time management graph overlaps with a quadrant other than the first quadrant, the patient is recorded as an abnormal point, and the abnormal point is notified to the staff for management; Step S304, when the real-time management graph is a line and does not overlap with the standard management graph, the points in the environmental points and resource points that are not 0 and the medical equipment are recorded as abnormal points, and the abnormal points are notified to the staff for management.

[0026] Example 3, please refer to Figure 5 As shown, Figure 5The structural diagram of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in the full-process management method of an intelligent day ward are executed to achieve the following functions: first, based on the medical equipment, ward environment and resource configuration in the ward, the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward are obtained respectively; then, the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters are analyzed uniformly using the parameter unified adjustment method, and the standard management graph of the patient is obtained based on the analysis results; finally, based on the real-time data collected in the ward, the real-time management graph is obtained, and the ward is managed based on the real-time management graph and the standard management graph.

[0027] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0028] Embodiment 4, the present application also provides a computer-readable storage medium, the present application provides a storage medium, on which a computer program is stored. When the computer program is executed by the processor, the steps in the above-mentioned intelligent day ward full-process management method are executed to achieve the following functions: first, based on the medical equipment, ward environment and resource configuration in the ward, the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward are respectively obtained; then, the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters are uniformly analyzed using a unified parameter adjustment method, and a standard management graph for the patient is obtained based on the analysis results; finally, based on the real-time data collected in the ward, a real-time management graph is obtained, and the ward is managed based on the real-time management graph and the standard management graph.

[0029] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0030] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0031] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A full-process management method for an intelligent day ward, characterized in that: The steps include: Based on the medical equipment, ward environment and resource allocation in the ward, obtain the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward respectively; Use the parameter unified adjustment method to conduct a unified analysis of medical equipment management parameters, ward environment preference parameters, and resource scheduling parameters, and obtain the patient's standard management diagram based on the analysis results; Based on the real-time data collected in the ward, real-time management graphics are obtained, and the ward is managed based on the real-time management graphics and standard management graphics.

2. A full-process management method for an intelligent day ward according to claim 1, characterized in that: The medical equipment management parameters of patients in the ward obtained based on the medical equipment in the ward include: Obtain the medical equipment used for patient treatment in the ward and record them as available medical equipment YS1 to available medical equipment YS n For any available medical device YS, a plane rectangular coordinate system is established, which is recorded as a medical device analysis coordinate system, wherein the unit of the X-axis of the medical device analysis coordinate system is time, and the unit of the Y-axis is power consumption or medical device parameters, wherein the medical device parameters are the units of the parameters recorded in the available medical device YS; When the unit of the Y-axis is power consumption, the interval corresponding to the unit power consumption of the available medical device YS in normal operation is obtained based on the device parameters of the available medical device YS, which is recorded as the conventional medical device interval, and the corresponding curve is drawn in the medical device analysis coordinate system based on the real-time unit power consumption of the medical device YS, which is recorded as the medical device power consumption curve, wherein the unit power consumption is the power consumed by the medical device YS per second; The maximum value and the minimum value in the conventional medical equipment interval are recorded as the peak value of medical equipment electricity consumption and the valley value of medical equipment electricity consumption, respectively. A straight line Y = the peak value of medical equipment electricity consumption and a straight line Y = the valley value of medical equipment electricity consumption are drawn in the medical equipment analysis coordinate system, and the area below the straight line Y = the peak value of medical equipment electricity consumption and the area above the straight line Y = the valley value of medical equipment electricity consumption overlapped are recorded as the electricity consumption restriction area; When the unit of the Y-axis is the medical device parameter, based on the parameters recorded in real time by the medical device YS, a corresponding curve is drawn in the medical device analysis coordinate system, which is recorded as the patient medical parameter curve; based on the patient's medical data, the normal range of the patient's medical device parameters when the available medical device YS records the patient's data is obtained, which is recorded as the conventional medical parameter range; The maximum value and the minimum value in the conventional medical parameter interval are recorded as the medical parameter peak value and the medical parameter valley value respectively. In the medical device analysis coordinate system, a straight line Y=medical parameter peak value and a straight line Y=medical parameter valley value are drawn respectively. The area below the straight line Y=medical parameter peak value and the area above the straight line Y=medical parameter valley value that overlaps are recorded as the medical parameter restriction area.

3. The whole-process management method of an intelligent day ward according to claim 2 is characterized in that: The medical equipment management parameters of the patients in the ward obtained based on the medical equipment in the ward also include: The vertical coordinate of the rightmost point of the medical equipment power consumption curve is marked as the real-time instantaneous power, and the vertical coordinate of the rightmost point of the patient's medical parameter curve is marked as the real-time medical parameter value; the patient's medical equipment management parameters are obtained, wherein the medical equipment management parameters are obtained using the medical equipment management algorithm, and the medical equipment management algorithm is: , where F is the medical equipment management parameter, f1 is the value of the peak power consumption of medical equipment minus the real-time instantaneous power multiplied by the real-time instantaneous power minus the peak power consumption of medical equipment, f2 is the value of the peak value of medical parameter minus the real-time medical parameter value multiplied by the real-time medical parameter value minus the valley value of medical parameter, T is the horizontal coordinate of the rightmost point of the patient's medical parameter curve, t is the number of curve segments in the patient's medical parameter curve that are not in the regular medical parameter interval, S i It is the length of the i-th curve segment in the patient's medical reference curve that is not in the conventional medical reference area.

4. The whole-process management method of an intelligent day ward according to claim 3 is characterized in that: Acquiring the ward environment preference parameters of the patient in the ward based on the ward environment in the ward includes: Obtain a device in the ward that collects data about the ward environment, recorded as an environment collection device, and record all environmental data that can be collected by the environment collection device as ward environment data; obtain the normal range corresponding to all environmental data in the patient's ward based on the patient's medical data, and record it as the normal environment range of each environmental data; When any of the environmental data α in the ward environmental data is not within the normal environmental range of the environmental data α, the environmental data α is recorded as unconventional data, and the unconventional parameters of the unconventional data are obtained; the unconventional parameters are: when the value corresponding to the unconventional data is less than the minimum value of the normal environmental range, is recorded as an unconventional parameter; when the value corresponding to the unconventional data is greater than the maximum value of the normal environment range, Denoted as unconventional parameters, where r0 is the value corresponding to the unconventional data, r max is the maximum value of the normal environment range, r min is the minimum value of the normal environment range; When any one of the environmental data α in the ward environmental data is within the normal environmental range of the environmental data α, the unconventional parameter of the environmental data α is set to 0; The sum of the unconventional parameters of all environmental data was recorded as the ward environmental preference parameter.

5. The whole-process management method of an intelligent day ward according to claim 4 is characterized in that: The resource scheduling parameters for patients in the ward are obtained based on the resource configuration in the ward, including: Based on the patient's medical data, all types of medical resources scheduled in the ward are obtained and recorded as ward resource BZ1 to ward resource BZ u , for any ward resource BZ e , real-time access to ward resources BZ in the ward e The amount of resources is recorded as the real-time resource amount. When the real-time resource amount is less than the ward resource BZ e When the scheduling resource amount is calculated, the difference between the real-time resource amount and the scheduling resource amount is recorded as the ward resource BZ e When the real-time resource quantity is greater than or equal to the scheduled resource quantity, the ward resource BZ e The scheduling difference is set to 0, where the scheduling resource amount is the ward resource BZ recorded in the patient's medical data. e The amount of resources, e is a positive integer less than or equal to u and greater than or equal to 1; The sum of the scheduling differences of all ward resources BZ is recorded as the resource scheduling parameter.

6. A full-process management method for an intelligent day ward according to claim 5, characterized in that: The unified parameter adjustment method includes: A spatial coordinate system is established, recorded as a unified adjustment coordinate system, wherein the X-axis, Y-axis and Z-axis of the unified adjustment coordinate system are all constant axes; within the unified adjustment coordinate system: the points in the X-axis whose values ​​are medical equipment management parameters are recorded as equipment points, the points in the Y-axis whose values ​​are ward environment preference parameters are recorded as environment points, and the points in the Z-axis whose values ​​are resource scheduling parameters are recorded as resource points; a graph composed of equipment points, environment points and resource points under standard conditions is recorded as a standard management graph, wherein the standard condition is a situation in which the medical equipment in the ward operates normally, the ward environment meets the standards, the resource configuration is fully allocated, and the patient is in good condition.

7. The whole-process management method of an intelligent day ward according to claim 6 is characterized in that: Based on the real-time data collected in the ward, real-time management graphics are obtained, and the ward is managed based on the real-time management graphics and standard management graphics, including: The graph consisting of equipment points, environment points and resource points drawn based on the real-time acquired medical equipment management parameters, ward environment preference parameters and resource scheduling parameters is recorded as a real-time management graph. When the real-time management graph is a triangle, the points in the environment points and resource points that are not 0 are recorded as abnormal points, and the ward environment or resource configuration corresponding to the abnormal point is notified to the staff for management; When the real-time management graph is a point, the medical device is recorded as an abnormal point, and the abnormal point is notified to the staff for management; When the real-time management graph coincides with a quadrant other than the first quadrant, the patient is recorded as an abnormal point, and the abnormal point is notified to the staff for management; When the real-time management graph is a line and does not overlap with the standard management graph, the points that are not 0 in the environmental points and resource points and the medical equipment are recorded as abnormal points, and the abnormal points are notified to the staff for management.

8. An intelligent day-case ward full-process management system, used to implement an intelligent day-case ward full-process management method according to any one of claims 1 to 7, characterized in that: It includes ward parameter analysis module, parameter unified management module and ward management module; The ward parameter analysis module is used to obtain the medical equipment management parameters, ward environment preference parameters and resource scheduling parameters of the patients in the ward based on the medical equipment, ward environment and resource configuration in the ward; The parameter unified management module is used to use the parameter unified adjustment method to perform unified analysis on medical equipment management parameters, ward environment preference parameters and resource scheduling parameters, and obtain the multi-process analysis parameters of the patient based on the analysis results; Obtaining standard management graphics for patients based on multi-process analysis parameters; The ward management module is used to obtain real-time management graphics based on real-time data collected in the ward, and manage the ward based on the real-time management graphics and standard management graphics.

9. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the steps in the method according to any one of claims 1 to 7 are executed.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are executed.

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