Performance intelligent management system and method for hospital

Abstract

The invention relates to the technical field of data processing, and particularly discloses an intelligent performance management system and method for hospitals, and the system is provided with a medical care performance analysis module, an equipment performance evaluation module, a performance resource management module and a performance management library. Intelligent data acquisition and acquisition are performed on the medical care performance data of each fixed medical care personnel of each department and the operation performance data of each fixed medical equipment of each department, so that the analyzed performance management is more real-time; the medical care performance evaluation values of all the departments and the medical equipment operation performance evaluation values of all the departments are obtained, the overall performance of all the departments of the hospital on medical resource allocation and utilization is comprehensively reflected, and finally the overall performance evaluation values are compared with the comprehensive performance evaluation threshold values of all the departments. The analyzed performance management is more real and effective, and a detailed judgment basis is provided for subsequent management and optimization of performance resources of all departments, so that the overall performance management level of a hospital is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an intelligent performance management system and method for hospitals. Background Art

[0002] As a complex organization, the operation of a hospital involves multiple links, including patient consultation, medical services, resource allocation, financial management, etc. With the rapid development of the medical industry and the advancement of technology, it is particularly important to develop an intelligent performance management system. Through scientific performance evaluation and incentive mechanisms, the quality of medical services, resource utilization efficiency and employee satisfaction can be effectively improved.

[0003] For example, the invention patent with announcement number CN115907277B announces a hospital performance intelligent review system and implementation method, which involves the field of hospital data processing. The indicator allocation module deeply analyzes the indicators, decomposes and allocates them to the source responsible departments, data collection departments, and supervision departments. Each indicator is assigned to the relevant responsible person, so that each link of the indicator can be effectively managed; the audit end is analyzed through the intelligent management module to obtain the audit value, and the indicator information is divided into the same number of copies as the audit end, and then the corresponding number of indicator information is sent to the corresponding audit end in sequence; the indicator information is reviewed and corrected by the corresponding staff of the audit end, so that the indicator information can be sent to the corresponding staff for review.

[0004] For example, the invention patent with the publication number CN111144754A discloses a comprehensive management method for hospital performance based on service person-times, including the following steps: S101: Divide the internal parts of the hospital into eight collaborative departments: leadership, performance management office, medical department, nursing department, management department, hospital affairs department, medical insurance office and outpatient office; S102: Classify the hospital's assessors into Class I assessors and Class II assessors. It involves the technical field of hospital performance management. This comprehensive management method for hospital performance based on service person-times makes a detailed and specific division of the hospital's departments, management personnel and medical personnel, formulates corresponding assessment methods and indicators, and then involves patients in the entire assessment work.

[0005] Combining the above technical solutions, it is found that the current performance management plan of the hospital still follows the manual processing method. This method not only causes a lag in performance management, but also leads to a large deviation between the actual effect of performance management and the processing effect, which seriously affects the overall performance management effect of the hospital. At the same time, the analyzed performance management is more manifested as ineffective management behavior. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a hospital performance intelligent management system and method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a hospital performance intelligent management system, including: a medical performance analysis module, which is used to collect the medical performance data of each fixed medical staff in each department during the performance management cycle, and thereby analyze the medical performance evaluation value of each department.

[0008] The equipment performance evaluation module is used to obtain the operating performance data of each fixed medical equipment in each department during the performance management cycle, and thereby analyze the medical equipment operating performance evaluation value of each department.

[0009] The performance resource management module is used to conduct a comprehensive analysis of the medical care performance evaluation values ​​of each department and the medical equipment operation performance evaluation values ​​of each department, to obtain the comprehensive performance evaluation index of each department, and to compare it with the comprehensive performance evaluation threshold of each department preset in the performance management library, and to obtain and determine whether to optimize the performance resources of each department based on the comprehensive performance comparison results of each department.

[0010] As a further solution, the specific analysis method of the medical performance evaluation value of each department is as follows: in, For the The medical performance evaluation value of each department, For the The first The average single working hours of fixed medical staff during the performance management cycle, For the The average number of equipment calls per person by fixed medical staff in each department during the performance management cycle, For the The drug consumption rate of each department, The medical and nursing performance evaluation weight of the unit value of the average single working time preset in the performance management database, The medical performance evaluation weight of the unit value of the per capita equipment call times preset in the performance management library, The medical care performance evaluation weight of the unit value of the drug consumption rate preset in the performance management library. The number of each department, , is the total number of departments, The serial number of each fixed medical staff, , is the total number of fixed medical staff.

[0011] As a further solution, the medical equipment operation performance evaluation value of each department is analyzed, and the specific data analysis process is as follows: The ratio of the startup response time period of each operation of each fixed medical device in each department to the total operation time period is processed to obtain the proportion of the startup response time period of each operation of each fixed medical device in each department.

[0012] Through the proportion of startup response time periods, maximum operating temperature, operating vibration frequency and maximum operating noise intensity of each operation of each fixed medical equipment in each department, a comprehensive data analysis is conducted to obtain the first operating performance stability index of each fixed medical equipment in each department.

[0013] The total data transmission period of each operation of each fixed medical device in each department is ratioed to the data transmission response period to obtain the proportion of the data transmission response period of each operation of each fixed medical device in each department.

[0014] The data transmission volume of each operation of each fixed medical device in each department is ratioed to the total data transmission period to obtain the data transmission rate of each operation of each fixed medical device in each department.

[0015] Therefore, through the proportion of data transmission response time periods, average data transmission bandwidth and data transmission rate of each operation of each fixed medical equipment in each department, a comprehensive data analysis is conducted to obtain the second operation performance stability index of each fixed medical equipment in each department.

[0016] Based on the first operation performance stability index of each fixed medical equipment in each department and the second operation performance stability index of each fixed medical equipment in each department, a comprehensive analysis is performed to obtain the medical equipment operation performance evaluation value of each department.

[0017] As a further solution, the comprehensive performance comparison results of each department are used to determine whether to optimize the management of the performance resources of each department. The specific process is as follows: If the comprehensive performance comparison result of the department is that the comprehensive performance evaluation index of a department is higher than the comprehensive performance evaluation threshold of the corresponding department, it is necessary to manage and optimize the performance resources of the department.

[0018] If the comprehensive performance comparison result of the department is that the comprehensive performance evaluation index of a department is equal to or lower than the comprehensive performance evaluation threshold of the corresponding department, there is no need to manage and optimize the performance resources of the department.

[0019] The second aspect of the present invention provides a method for a hospital performance intelligent management system, comprising: S1. Collecting the medical performance data of each fixed medical staff in each department during the performance management cycle, thereby analyzing the medical performance evaluation value of each department; S2. Obtaining the operating performance data of each fixed medical equipment in each department during the performance management cycle, thereby analyzing the medical equipment operating performance evaluation value of each department; S3. Comprehensively analyzing the medical performance evaluation value of each department and the medical equipment operating performance evaluation value of each department to obtain the comprehensive performance evaluation index of each department, and comparing it with the comprehensive performance evaluation threshold of each department preset in the performance management library, and obtaining and judging whether to optimize the performance resources of each department based on the comprehensive performance comparison results of each department.

[0020] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a hospital performance intelligent management system and method, which intelligently collects and obtains the medical performance data of each fixed medical staff in each department during the performance management cycle and the operating performance data of each fixed medical equipment in each department during the performance management cycle, so that the analyzed performance management is more real-time. By processing and analyzing multi-dimensional data, the medical performance evaluation value of each department and the operating performance evaluation value of medical equipment in each department are obtained, which can reduce the deviation between the analyzed comprehensive performance evaluation index of each department and the actual comprehensive performance. Finally, the comprehensive performance evaluation index of each department is compared with the comprehensive performance evaluation threshold of each department, thereby making the analyzed performance management more real and effective and providing a detailed judgment basis for the subsequent management and optimization of the performance resources of each department, thereby improving the overall performance management level of the hospital.

[0021] (2) The present invention collects the medical performance data of each fixed medical staff in each department during the performance management cycle, and at the same time obtains the operating performance data of each fixed medical equipment in each department during the performance management cycle. Since the performance of a hospital not only depends on the work efficiency and work quality of medical staff, but also the use efficiency and status of medical equipment are particularly important, the medical performance evaluation value of each department and the operating performance evaluation value of medical equipment in each department are obtained through multi-dimensional data analysis, which can fully reflect the overall performance of each department in the allocation and utilization of medical resources in the hospital, rather than relying solely on a single-dimensional evaluation.

[0022] (3) The present invention obtains a comprehensive performance evaluation index for each department by comprehensively analyzing the medical care performance evaluation value of each department and the medical equipment operation performance evaluation value of each department. By combining and analyzing multi-dimensional data, the analyzed comprehensive performance evaluation index for each department can be compared with the comprehensive performance evaluation threshold of each department preset in the performance management library. Problems such as insufficient use of medical equipment or unreasonable human resource arrangement can be discovered, thereby optimizing the management of the performance resources of each department. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0024] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0025] Figure 2 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0027] Reference Figure 1 As shown, the first aspect of the present invention provides a hospital performance intelligent management system, including: a medical performance analysis module, an equipment performance evaluation module, a performance resource management module and a performance management library.

[0028] The medical care performance analysis module and the equipment performance evaluation module are respectively connected to the performance resource management module, and the medical care performance analysis module, the equipment performance evaluation module and the performance resource management module are all connected to the performance management library.

[0029] In the actual hospital performance management process, although the performance of medical staff accounts for a large part of the hospital as a whole, the work efficiency of medical staff is still closely related to other aspects, the most important of which is the operational performance management of medical equipment. For example, the imaging department needs equipment to complete the diagnosis, and the operating room relies on instruments to operate. Therefore, if a certain dimension is analyzed alone, it may not be possible to accurately identify the real bottleneck of the department. For example, the high workload of medical staff may be the result of insufficient equipment or poor performance; therefore, this example uses a comprehensive analysis of the performance of medical staff and medical equipment to enable the hospital to have more comprehensive performance management and higher operational efficiency.

[0030] The medical care performance analysis module is used to collect the medical care performance data of each fixed medical care staff in each department during the performance management cycle, thereby analyzing the medical care performance evaluation value of each department.

[0031] Specifically, the medical performance evaluation value of each department is analyzed by the following specific method: in, For the The first The average single working time of a fixed medical staff during the performance management cycle indicates the average time that the fixed medical staff spends on each work during a specific time period (performance management cycle). This indicator can help evaluate the work efficiency, workload and performance of medical staff.

[0032] For the The average number of equipment calls per fixed medical staff in a department during the performance management cycle indicates the average number of times each medical staff calls medical equipment during a specific time period (performance management cycle). This indicator helps to evaluate the efficiency of equipment use, the workload of medical staff, and the provision of medical services.

[0033] For the The drug consumption rate of a department indicates the speed or frequency of drug use in a department within a specific time period (performance management cycle). This indicator is usually used to evaluate the efficiency of drug use, manage drug inventory, monitor drug usage, and help formulate reasonable procurement and replenishment plans. The drug consumption rate not only reflects the drug demand of the department, but also indirectly reflects the workload of the department.

[0034] The medical and nursing performance evaluation weights of the unit values ​​of the average single working time preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed based on the historical average single working time and the medical and nursing performance evaluation weights of the unit values ​​of the average single working time, and the real-time average single working time is input into the mapping set to obtain the medical and nursing performance evaluation weights of the unit values ​​of the average single working time. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0035] The medical care performance evaluation weights of the unit values ​​of the per capita equipment call times preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed based on the historical per capita equipment call times and the medical care performance evaluation weights of the unit values ​​of the per capita equipment call times, and the real-time per capita equipment call times are input into the mapping set to obtain the medical care performance evaluation weights of the unit values ​​of the per capita equipment call times. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0036] The medical care performance evaluation weights of the unit values ​​of the drug consumption rate preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed based on the historical drug consumption rate and the medical care performance evaluation weights of the unit values ​​of the drug consumption rate, and the real-time drug consumption rate is input into the mapping set to obtain the medical care performance evaluation weights of the unit values ​​of the drug consumption rate. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0037] The number of each department, , is the total number of departments, The serial number of each fixed medical staff, , is the total number of fixed medical staff.

[0038] For the The medical performance evaluation value of each department. In this example, since the performance evaluation of its medical staff accounts for a considerable part when evaluating the performance of the hospital, the workload of the corresponding department can be obtained by analyzing the shift working hours of the medical staff. However, while evaluating the workload of the medical staff, the medical equipment and drug consumption associated with it will also affect the workload status of the medical staff. Therefore, the average single working time of the medical staff, the average number of equipment calls per person and the drug consumption rate are comprehensively considered. That is, if the working hours of the medical staff are longer, the frequency of the equipment used will become higher, which also reflects that the drug consumption of the department where the medical staff is located will also increase. By combining the above-mentioned multi-dimensional parameters, a more comprehensive understanding of the medical performance of each department can be obtained, and detailed data analysis basis is provided for subsequent efficient performance management resource optimization.

[0039] Furthermore, the medical performance data of each fixed medical staff of each department during the performance management cycle specifically includes the work shifts and total working hours of each fixed medical staff of each department during the performance management cycle.

[0040] It needs to be explained that the above-mentioned performance management cycle is periodic data (such as one week, one month), which can reflect the changing trends in the short or medium term and provide a basis for optimizing the hospital's performance management and resource allocation. The way to obtain it is determined by a comprehensive combination of factors such as the number of departments in the hospital, the number of medical staff, and the scale of medical equipment; the above-mentioned departments include but are not limited to internal medicine (including cardiology, gastroenterology, respiratory medicine, neurology, endocrinology, etc.), surgery (including general surgery, orthopedics, thoracic surgery, urology, neurosurgery, etc.), obstetrics and gynecology (including gynecology and obstetrics), pediatrics, emergency department, imaging department, laboratory department and anesthesia department; fixed medical staff refers to medical staff working full-time in each department, and their duties and scope of work are mainly limited to that department.

[0041] It is further necessary to explain that the above-mentioned work shifts and total working hours can be obtained through the electronic scheduling system of medical staff (such as scheduling software). The electronic scheduling system will automatically generate a work schedule for each medical staff, which includes the work shifts and total working hours of each medical staff. The work shift indicates the total number of work shifts of the medical staff during the performance management cycle, and the total working hours indicate the total working time of the medical staff in the department.

[0042] Specifically, the medical performance evaluation value of each department is analyzed, and the specific analysis process is as follows: The ratio of the working shifts and the total working hours of each fixed medical staff in each department during the performance management cycle is processed (specifically, the total working hours divided by the working shifts) to obtain the average single working hours of each fixed medical staff in each department during the performance management cycle; for example, the total working hours of a fixed medical staff in a month are 160 hours, and the number of working shifts is 20, then the average single working time is 8 hours / shift.

[0043] Obtain the total number of calls and operations of fixed medical equipment in each department during the performance management cycle and the total number of fixed medical staff in each department, where fixed medical equipment refers to equipment that is fixedly installed or cannot be moved at will in the hospital and is used for patient diagnosis, treatment, monitoring and nursing. These devices are usually installed in specific locations for medical staff to use in their daily work; the total number of calls and operations of fixed medical equipment during the performance management cycle is extracted through the equipment management system, which records the use of the equipment and the operation of the equipment itself; the total number of fixed medical staff in each department is directly obtained through the hospital's human resources management system; the total number of calls and operations indicates the number of times the fixed medical equipment of the department is used by medical staff.

[0044] Ratio processing is performed to obtain the average number of equipment calls per fixed medical staff in each department during the performance management cycle, which is the total number of call operations divided by the total number of fixed medical staff. For example, the total number of equipment call operations in the Department of Internal Medicine is 1,200 times, and the total number of fixed medical staff in the department is 10. Then the average number of equipment calls per fixed medical staff in the department during the performance management cycle is equal to 120 times.

[0045] The total drug consumption of each department during the performance management cycle is obtained through the hospital's drug management system. The number of drugs consumed by each department varies greatly. For example, the internal medicine department consumes a total of 100 drugs in one month, including Locatep, Amoxicillin, and Ibuprofen. The drug consumption rate of each department is obtained by ratio processing with the corresponding duration of the performance management cycle (specifically, the total drug consumption divided by the corresponding duration of the performance management cycle). The medical performance evaluation value of each department is comprehensively analyzed through the average single working hours of each fixed medical staff in each department during the performance management cycle, the average number of equipment calls per capita by the fixed medical staff in each department during the performance management cycle, and the drug consumption rate of each department.

[0046] The equipment performance evaluation module is used to obtain the operation performance data of each fixed medical equipment in each department within the performance management cycle, thereby analyzing the medical equipment operation performance evaluation value of each department.

[0047] Specifically, the operating performance data of each fixed medical equipment in each department during the performance management cycle includes the technical operating data and data transmission information of each fixed medical equipment in each department during the performance management cycle. To determine the operating performance of the medical equipment, its own operating condition is an important analysis part. However, if the data transmission of the equipment is lost, it will cause unsatisfactory operating performance of the equipment. Therefore, it is necessary to comprehensively consider the equipment's own operating condition and the data transmission condition after operation.

[0048] The number of operations of each fixed medical equipment in each department during the performance management cycle is obtained. The number of operations here is closely related to the total number of calls for the above-mentioned fixed medical equipment during the performance management cycle, that is, the total number of calls is equal to the sum of the number of operations of each fixed medical equipment. Therefore, the method for obtaining the number of operations here is the same as the method for obtaining the total number of calls. Therefore, the technical operation data and data transmission information of each fixed medical equipment in each department during the performance management cycle are obtained by comprehensively analyzing the number of operations of each fixed medical equipment in each department during the performance management cycle, ultimately including the technical operation data of each operation of each fixed medical equipment in each department during the performance operation cycle and the data transmission information of each operation of each fixed medical equipment in each department during the performance operation cycle. A detailed analysis of the fixed medical equipment, that is, obtaining the technical operation data and data transmission information of each operation of the fixed medical equipment, can enable each fixed medical equipment in each department to obtain more detailed operation performance analysis results.

[0049] The technical operation data of each fixed medical device in each department during the performance operation cycle are obtained through the equipment management system; specifically, the startup response time period, total operation time period, maximum operation temperature, operation vibration frequency and maximum operation noise intensity of each operation of each fixed medical device in each department, wherein the total operation time period includes the startup response time period, the total operation time period represents the total time period from the receipt of the startup instruction to the end of the operation of the equipment, and the startup response time period represents the time period from the receipt of the startup instruction to the start of the equipment operation.

[0050] The data transmission information of each fixed medical device in each department during each operation within the performance operation cycle is obtained by the equipment management system; specifically, it includes the total data transmission time period, data transmission response time period, average data transmission bandwidth and data transmission volume of each operation of each fixed medical device in each department, wherein the total data transmission time period includes the data transmission response time period, the total data transmission time period represents the total time period from the receipt of the data transmission instruction to the end of the data transmission of the device, and the data transmission response time period represents the time period from the receipt of the data transmission instruction to the start of data transmission of the device.

[0051] Furthermore, the medical equipment operation performance evaluation value of each department is analyzed, and the specific data analysis process is as follows: The ratio of the startup response time period of each operation of each fixed medical device in each department to the total operation time period is processed (specifically, the startup response time period is divided by the total operation time period) to obtain the proportion of the startup response time period of each operation of each fixed medical device in each department.

[0052] Through the proportion of the startup response period of each operation of each fixed medical equipment in each department, the highest operating temperature, the operating vibration frequency and the highest operating noise intensity, a comprehensive data analysis is conducted to obtain the first operation performance stability index of each fixed medical equipment in each department. The specific analysis method is as follows: In the formula, The first operating performance impact factor corresponding to the unit value of the startup response time period ratio preset in the performance management library can be directly obtained from the performance management library, and the corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed according to the historical startup response time period ratio and the first operating performance impact factor corresponding to the unit value of the startup response time period ratio, and the real-time startup response time period ratio is input into the mapping set to obtain the first operating performance impact factor corresponding to the unit value of the startup response time period ratio. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0053] For the The proportion of the startup response period of the pth operation of the bth fixed medical equipment in a department indicates the proportion of the startup response period of a fixed medical equipment in the total operation period under a certain operation.

[0054] The first operation performance influence factor corresponding to the unit value of the operation vibration frequency preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed according to the historical operation vibration frequency and the first operation performance influence factor corresponding to the unit value of the operation vibration frequency, and the real-time operation vibration frequency is input into the mapping set to obtain the first operation performance influence factor corresponding to the unit value of the operation vibration frequency. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0055] For the The operating vibration frequency of the pth operation of the bth fixed medical device in a department indicates the frequency of vibration generated by the fixed medical device during operation. This frequency is usually measured in Hertz (Hz). The vibration frequency is an important parameter for evaluating equipment performance, stability and safety. Especially in medical equipment, too high vibration frequency may affect the normal operation of the equipment.

[0056] The first operation performance influence factor corresponding to the unit value of the highest operation noise intensity preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed according to the historical highest operation noise intensity and the first operation performance influence factor corresponding to the unit value of the highest operation noise intensity, and the real-time highest operation noise intensity is input into the mapping set to obtain the first operation performance influence factor corresponding to the unit value of the highest operation noise intensity. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0057] For the The maximum operating noise intensity of the pth operation of the bth fixed medical equipment in a department refers to the maximum noise level measured during the operation of the fixed medical equipment, usually expressed in decibels (dB). Noise intensity is an important parameter for evaluating the impact of medical equipment on the environment and patients, especially in medical environments such as hospitals that need to maintain quietness and comfort.

[0058] For the The maximum operating temperature of the pth operation of the bth fixed medical device in a department indicates the highest temperature value measured during a certain operation of the fixed medical device. This temperature is usually expressed in degrees Celsius (°C). The maximum operating temperature is an important indicator for evaluating the performance, reliability and safety of medical equipment. Especially in the medical environment, the temperature control of the equipment directly affects its normal operation.

[0059] The operating reference temperature of the bth fixed medical device preset in the performance management library indicates the optimal adaptation temperature for a certain fixed medical device to operate. If the device operates at this temperature, it indicates that the operating efficiency of the device is relatively high.

[0060] The number of each department, , is the total number of departments, is the serial number of each fixed medical device, , is the total number of fixed medical equipment, is the number of each run, , is the total number of runs, and e is a natural constant.

[0061] For the The first operation performance stability index of the bth fixed medical equipment in a department. Through the above performance analysis of medical staff, we can know the comprehensive performance of each department, which not only includes the performance of medical staff, but also has a close relationship with the medical equipment closely related to medical staff. For example, if the medical equipment is idle (that is, the operating status is low), it means that the use process of the medical equipment needs to be optimized. Therefore, it is necessary to optimize the scheduling and workload distribution of medical staff in combination with the use of medical equipment to reduce the work pressure of medical staff; however, if the medical equipment is running at high load but the manpower utilization rate is low, it is necessary to reasonably divide the human resources, and at the same time, judge whether the medical equipment needs resource investment through data analysis, so that the overall department operation can be maximized and reasonable; the above-mentioned medical equipment is running at high load. Through the comprehensive analysis of the above-mentioned first operation performance stability index, it can be that the proportion of the startup response period in the total operating period is high, the equipment operating temperature exceeds the normal operating temperature of the equipment lock, the vibration of the equipment during operation is more frequent, or the noise generated by the equipment during operation is more abnormal, etc. Multiple parameters will not only affect the performance of the equipment during operation, but also multiple settings There is also a correlation between the equipment (that is, the higher the proportion of the startup response period, the longer the time required for the equipment to start up. The longer startup time may cause the internal components of the equipment (such as motors, electronic components, etc.) to continue working during the startup phase, generating more heat, thereby causing the maximum operating temperature to rise; when the equipment is running at a higher temperature, even far away from the adaptation temperature during normal operation of the equipment, it may cause thermal expansion, instability or insufficient lubrication of the material, thereby increasing the wear and friction of the internal components of the equipment. This may cause the equipment to vibrate more, thereby increasing the frequency of operating vibration; an increase in vibration frequency usually causes the equipment to generate more noise, because vibration will cause resonance of the equipment casing or other components, thereby releasing more sound energy; excessive noise intensity during equipment operation may affect the normal operation of the equipment, and may even cause equipment failure or shutdown, thereby affecting the operating performance of the entire equipment; therefore, the greater the noise, the worse the performance stability may be); therefore, it is necessary to conduct a comprehensive analysis through multi-dimensional parameters to make the operating performance of the equipment more reasonable and accurate, and provide data basis for subsequent management optimization.

[0062] The total data transmission time period of each operation of each fixed medical device in each department is ratioed to the data transmission response time period (specifically, the data transmission response time period is divided by the total data transmission time period) to obtain the proportion of the data transmission response time period of each operation of each fixed medical device in each department.

[0063] The data transmission volume of each operation of each fixed medical device in each department is ratioed to the total data transmission period (specifically, the data transmission volume is divided by the total data transmission period) to obtain the data transmission rate of each operation of each fixed medical device in each department.

[0064] Therefore, the second operation performance stability index of each fixed medical device in each department is obtained by comprehensive data analysis through the proportion of data transmission response time periods, average data transmission bandwidth and data transmission rate of each operation of each fixed medical device in each department. The specific analysis method is as follows: In the formula, The second operating performance impact factor corresponding to the unit value of the data transmission response time period ratio preset in the performance management library can be directly obtained from the performance management library, and the corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed according to the historical data transmission response time period ratio and the second operating performance impact factor corresponding to the unit value of the data transmission response time period ratio, and the real-time data transmission response time period ratio is input into the mapping set to obtain the second operating performance impact factor corresponding to the unit value of the data transmission response time period ratio. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0065] For the The proportion of data transmission response time periods for the pth operation of the bth fixed medical equipment in a department indicates the proportion of the data transmission response time periods in the total data transmission time periods under a certain operation of a certain fixed medical equipment.

[0066] The second operating performance impact factor corresponding to the unit value of the average data transmission bandwidth preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed according to the average transmission bandwidth of historical data and the second operating performance impact factor corresponding to the unit value of the average data transmission bandwidth, and the real-time average data transmission bandwidth is input into the mapping set to obtain the second operating performance impact factor corresponding to the unit value of the average data transmission bandwidth. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0067] For the The average data transmission bandwidth of the pth operation of the bth fixed medical device in a department represents the average amount of data that the fixed medical device can transmit per unit time during this operation. In a medical environment, data transmission bandwidth is particularly important because medical devices often need to transmit key information (such as patient monitoring data, imaging data, etc.) in real time. Therefore, ensuring sufficient average transmission bandwidth can not only improve the operating efficiency of medical equipment, but also help to ensure treatment effectiveness.

[0068] The second operating performance impact factor corresponding to the unit value of the data transmission rate preset in the performance management library can be directly obtained from the performance management library. The corresponding relationship can be a preset mapping relationship. For example, a mapping set is formed according to the historical data transmission rate and the second operating performance impact factor corresponding to the unit value of the data transmission rate, and the real-time data transmission rate is input into the mapping set to obtain the second operating performance impact factor corresponding to the unit value of the data transmission rate. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0069] For the The data transmission rate of the pth operation of the bth fixed medical device in a department indicates the amount of data actually transmitted by the medical device during this operation, usually measured in bits per second (bps). It reflects the speed of data flow during the operation of the medical device. In medical scenarios, data transmission rate is very important, especially in situations where large amounts of data need to be processed and transmitted in real time (such as image transmission, monitoring data, etc.). Ensuring that the data transmission rate meets the requirements is the key to maintaining equipment performance.

[0070] The number of each department, , is the total number of departments, is the serial number of each fixed medical device, , is the total number of fixed medical equipment, is the number of each run, , is the total number of runs.

[0071] For the The second operation performance stability index of the bth fixed medical equipment in a department. Through the above relationship between medical staff and medical equipment, it can be known that the operation performance of medical equipment is one of the important parts of the comprehensive performance of the department. The operation performance of medical equipment not only includes the above analysis of the equipment itself, but also exists in the case that even if the medical equipment itself is in good condition during operation, if there is a large negative situation in the data transmission of the medical equipment, it will also cause the overall operation performance of the medical equipment to be unsatisfactory, and ultimately lead to the department's comprehensive performance is not high, and indirectly affect the workload of medical staff; therefore, it is necessary to conduct a detailed analysis of the data transmission of medical equipment, that is, if the data transmission response period accounts for a high proportion, it means that the medical equipment may have delays or inefficiencies during the data transmission process, thereby affecting the performance of the average transmission bandwidth, and a long response period may lead to a decrease in the average bandwidth; the lower the bandwidth, the less data the medical device can transmit per unit time, thereby reducing the data transmission rate; a lower data transmission rate means that the medical device cannot process data and respond to requests faster, and increases delays, so the overall performance and responsiveness of the medical device are also lower, and the performance of the medical device will eventually decline.

[0072] Based on the first operation performance stability index of each fixed medical equipment in each department and the second operation performance stability index of each fixed medical equipment in each department, a comprehensive analysis is performed to obtain the medical equipment operation performance evaluation value of each department. The specific analysis method is as follows: Multiply the first operation performance stability index of each fixed medical equipment in each department by the stability weight corresponding to the first operation performance stability index preset in the performance management library. At the same time, multiply the second operation performance stability index of each fixed medical equipment in each department by the stability weight corresponding to the second operation performance stability index preset in the performance management library. Add the results of the multiplication together to finally obtain the operation performance evaluation value of each fixed medical equipment in each department. Finally, add them up to obtain the operation performance evaluation value of the medical equipment in each department.

[0073] Among them, the first operating performance stability index corresponds to the stability weight, and the first operating performance stability index corresponding to the stability weight can be directly obtained from the performance management library, and the corresponding relationship can be a pre-set mapping relationship. For example, a mapping set is formed according to the historical first operating performance stability index and the first operating performance stability index corresponding to the stability weight, and the real-time first operating performance stability index is input into the mapping set to obtain the first operating performance stability index corresponding to the stability weight, wherein the mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0074] The second operating performance stability index corresponds to the stability weight, and the second operating performance stability index corresponding to the stability weight can be directly obtained from the performance management library, and the corresponding relationship can be a pre-set mapping relationship. For example, a mapping set is formed according to the historical second operating performance stability index and the second operating performance stability index corresponding to the stability weight, and the real-time second operating performance stability index is input into the mapping set to obtain the second operating performance stability index corresponding to the stability weight, wherein the mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0075] The performance resource management module is used to comprehensively analyze the medical care performance evaluation values ​​of each department and the medical equipment operation performance evaluation values ​​of each department, to obtain the comprehensive performance evaluation index of each department, and to compare it with the comprehensive performance evaluation threshold of each department preset in the performance management library, to obtain and determine whether to optimize the performance resources of each department based on the comprehensive performance comparison results of each department.

[0076] Specifically, the comprehensive performance comparison results of each department include a first comprehensive performance comparison result and a second comprehensive performance comparison result.

[0077] Among them, the first comprehensive performance comparison result is that the comprehensive performance evaluation index of a certain department is higher than the comprehensive performance evaluation threshold of the corresponding department, where the comprehensive performance evaluation threshold represents the highest standard set by the department when evaluating its overall performance. It is the result of comprehensive calculation based on multiple historical comprehensive performance evaluation thresholds, which is used to measure whether the performance of the department exceeds the highest standard; the comprehensive performance evaluation index of the above-mentioned department is higher than the comprehensive performance evaluation threshold of the corresponding department, indicating that the comprehensive performance evaluation index of the department exceeds the maximum tolerance value set by it, which means that the performance of the department in certain aspects (such as the extremely high workload of medical staff) is abnormal and exceeds the expected level. Although the comprehensive performance evaluation index being higher than the comprehensive performance evaluation threshold seems positive, if this state continues, it may lead to excessive consumption of resources or fatigue of medical staff, thereby causing subsequent performance decline. High performance is often accompanied by high pressure and high load. Therefore, if the sustainability of department operations is to be achieved, management optimization is required.

[0078] Among them, the second comprehensive performance comparison result, specifically, the comprehensive performance evaluation index of a department is equal to or lower than the comprehensive performance evaluation threshold of the corresponding department, indicating that compared with the historical performance of the department in the past, the performance of this evaluation did not exceed the highest performance level. This means that after the last performance management optimization of the department, it was ensured that there would be no excessive load of personnel or excessive load of equipment in the department, indicating that the last performance management optimization was reasonable. Therefore, it is only necessary to continue to monitor the performance of the department, and no management optimization is needed this time.

[0079] Furthermore, according to the comprehensive performance comparison results of each department, it is determined whether to optimize the management of the performance resources of each department. The specific process is as follows: If the comprehensive performance comparison result of the department is that the comprehensive performance evaluation index of a department is higher than the comprehensive performance evaluation threshold of the corresponding department, it is necessary to manage and optimize the performance resources of the department.

[0080] It should be explained that the above-mentioned management optimization of the department's performance resources is carried out in the following specific process: Assuming that the department being evaluated is a department such as internal medicine, the following are some key parameters of the department during the performance management cycle: The average single working time is 8 hours / shift, the drug consumption rate is 120 boxes (bottles) / month, the average number of equipment calls per person is 170 times, the startup response period accounts for 90%, the maximum operating temperature is 80°C, the operating vibration frequency is 3Hz, the maximum operating noise intensity is 65 decibels, the data transmission response period accounts for 85%, the average data transmission bandwidth is 10bps and the data transmission rate is 8bps. The maximum permitted values ​​specified by the comprehensive performance evaluation threshold are as follows: The average single working time is 7 hours / shift, the drug consumption rate is 100 boxes (bottles) / month, the number of medical device calls is 150 times, the startup response period accounts for 95%, the maximum operating temperature is 75°C, the operating vibration frequency is 4Hz, the maximum operating noise intensity is 60 decibels, the data transmission response period accounts for 90%, the average data transmission bandwidth is 12bps, and the data transmission rate is 10bps. Based on the above data, we found that the following parameters exceeded the threshold: The average single working time, drug consumption rate, number of medical device calls, maximum operating temperature, and maximum operating noise intensity, so for the above parameters that exceed the threshold, the following are optimization solutions: Introduce standardized workflows, train medical staff, and improve work efficiency. For example, use PDA devices to record medical records to reduce paperwork time, thereby reducing the average single working hours of medical staff. Conduct drug use audits to evaluate which drugs are used frequently and have poor effectiveness, reduce unnecessary prescriptions, and reduce the rate of drug consumption. Ensure that medical staff use equipment rationally and avoid unnecessary repeated examinations. By analyzing the use of equipment, the efficiency of equipment use can be evaluated to ensure that it can be reasonably allocated to different cases, so that the number of equipment calls is reduced. Regularly maintain and calibrate equipment to ensure that the equipment operates in the best condition, monitor the operating temperature and noise of the equipment in real time, detect and handle abnormalities in a timely manner, keep the operating temperature of the equipment within a reasonable operating range, and reduce the operating noise of the equipment; ultimately, the network infrastructure can also be upgraded to ensure the stability and rate of data transmission, and ensure that the data that the equipment needs to transmit is uploaded and shared quickly and accurately.

[0081] If the comprehensive performance comparison result of the department is that the comprehensive performance evaluation index of a department is equal to or lower than the comprehensive performance evaluation threshold of the corresponding department, there is no need to manage and optimize the performance resources of the department.

[0082] Specifically, the comprehensive performance evaluation index of each department is analyzed as follows: The medical care performance evaluation value of each department is multiplied by the evaluation weight of the unit value corresponding to the medical care performance evaluation value preset in the performance management library. At the same time, the medical equipment operation performance evaluation value of each department is multiplied by the evaluation weight of the unit value corresponding to the medical equipment operation performance evaluation value preset in the performance management library, and the comprehensive performance evaluation index of each department is analyzed.

[0083] It should be explained that the above analysis results in the comprehensive performance evaluation index of each department. The specific analysis process is as follows: The medical and nursing performance evaluation value of each department is multiplied by the evaluation weight of the unit value corresponding to the preset medical and nursing performance evaluation value, and the result of the multiplication is recorded as the medical and nursing performance evaluation factor of each department; the medical equipment operation performance evaluation value of each department is multiplied by the evaluation weight of the unit value corresponding to the preset medical equipment operation performance evaluation value, and the result of the multiplication is recorded as the medical equipment operation performance evaluation factor of each department; finally, the medical and nursing performance evaluation factor of each department is added to the medical equipment operation performance evaluation factor of each department, and the result is recorded as the comprehensive performance evaluation index of each department.

[0084] Among them, the evaluation weight of the unit value corresponding to the medical performance evaluation value can be directly obtained from the performance management library, and the corresponding relationship can be a pre-set mapping relationship. For example, a mapping set is formed according to historical medical performance evaluation values ​​and the evaluation weights of the unit values ​​corresponding to the medical performance evaluation values, and the real-time medical performance evaluation value is input into the mapping set to obtain the evaluation weight of the unit value corresponding to the medical performance evaluation value. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0085] The evaluation weight of the unit value corresponding to the medical equipment operation performance evaluation value can be directly obtained from the performance management library, and the corresponding relationship can be a pre-set mapping relationship. For example, a mapping set is formed based on historical medical equipment operation performance evaluation values ​​and the evaluation weights of the unit values ​​corresponding to the medical equipment operation performance evaluation values, and the real-time medical equipment operation performance evaluation value is input into the mapping set to obtain the evaluation weight of the unit value corresponding to the medical equipment operation performance evaluation value. The mapping relationship can be one-to-one or many-to-one. At the same time, in this example, its value range is (0, 1).

[0086] The performance management library is used to store preset values ​​such as the above-mentioned preset threshold, preset medical performance evaluation weight, preset first operation performance impact factor, preset second operation performance impact factor, etc.

[0087] Reference Figure 2 As shown, the second aspect of the present invention provides a method for a hospital performance intelligent management system, including: S1. Collecting the medical performance data of each fixed medical staff in each department during the performance management cycle, thereby analyzing the medical performance evaluation value of each department; S2. Obtaining the operation performance data of each fixed medical equipment in each department during the performance management cycle, thereby analyzing the medical equipment operation performance evaluation value of each department; S3. Comprehensively analyzing the medical performance evaluation value of each department and the medical equipment operation performance evaluation value of each department to obtain the comprehensive performance evaluation index of each department, and comparing it with the comprehensive performance evaluation threshold of each department preset in the performance management library, and obtaining and judging whether to optimize the performance resources of each department based on the comprehensive performance comparison result of each department.

[0088] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A hospital performance intelligent management system, characterized in that: include: The medical care performance analysis module is used to collect the medical care performance data of each fixed medical staff in each department during the performance management cycle, and analyze the medical care performance evaluation value of each department; The equipment performance evaluation module is used to obtain the operating performance data of each fixed medical equipment in each department during the performance management cycle, and analyze the operating performance evaluation value of the medical equipment in each department; The performance resource management module is used to conduct a comprehensive analysis of the medical care performance evaluation values ​​of each department and the medical equipment operation performance evaluation values ​​of each department, to obtain the comprehensive performance evaluation index of each department, and to compare it with the comprehensive performance evaluation threshold of each department preset in the performance management library, and to obtain and determine whether to optimize the performance resources of each department based on the comprehensive performance comparison results of each department.

2. According to claim 1, a hospital performance intelligent management system is characterized by: The medical performance data of each fixed medical staff in each department during the performance management cycle specifically includes the work shifts and total working hours of each fixed medical staff in each department during the performance management cycle.

3. According to claim 1, a hospital performance intelligent management system is characterized by: The above analysis is to obtain the medical care performance evaluation value of each department. The specific analysis process is as follows: The working shifts of each fixed medical staff in each department during the performance management cycle are compared with the total working hours to obtain the average single working hours of each fixed medical staff in each department during the performance management cycle; Obtain the total number of calls and operations of fixed medical equipment in each department during the performance management cycle and the total number of fixed medical staff in each department, and perform ratio processing to obtain the average number of equipment calls per fixed medical staff in each department during the performance management cycle; The total drug consumption of each department during the performance management cycle is obtained, and the drug consumption rate of each department is obtained by ratio processing with the corresponding duration of the performance management cycle. Based on the average single working hours of each fixed medical staff in each department during the performance management cycle, the average number of equipment calls per capita of fixed medical staff in each department during the performance management cycle, and the drug consumption rate of each department, the medical performance evaluation value of each department is comprehensively analyzed.

4. According to claim 3, a hospital performance intelligent management system is characterized by: The specific analysis method of the medical performance evaluation value of each department is as follows: in, For the The medical performance evaluation value of each department, For the The first The average single working hours of fixed medical staff during the performance management cycle, For the The average number of equipment calls per person by fixed medical staff in each department during the performance management cycle, For the The drug consumption rate of each department, The medical and nursing performance evaluation weight of the unit value of the average single working time preset in the performance management database, The medical performance evaluation weight of the unit value of the per capita equipment call times preset in the performance management library, The medical care performance evaluation weight of the unit value of the drug consumption rate preset in the performance management library. The number of each department, , is the total number of departments, The serial number of each fixed medical staff, , is the total number of fixed medical staff.

5. According to claim 1, a hospital performance intelligent management system is characterized by: The operational performance data of each fixed medical device in each department during the performance management cycle, specifically including the technical operational data and data transmission information of each fixed medical device in each department during the performance management cycle; Obtaining the number of operations of each fixed medical device in each department within the performance management cycle, thereby the technical operation data and data transmission information of each fixed medical device in each department within the performance management cycle are obtained by integrating the number of operations of each fixed medical device in each department within the performance management cycle, and finally including the technical operation data of each operation of each fixed medical device in each department within the performance operation cycle and the data transmission information of each operation of each fixed medical device in each department within the performance operation cycle; The technical operation data of each operation of each fixed medical device in each department during the performance operation cycle, specifically including the start-up response time period, total operation time period, maximum operation temperature, operation vibration frequency and maximum operation noise intensity of each operation of each fixed medical device in each department; The data transmission information of each fixed medical device in each department during each operation within the performance operation cycle specifically includes the total data transmission time period, data transmission response time period, average data transmission bandwidth and data transmission volume of each operation of each fixed medical device in each department.

6. According to claim 5, a hospital performance intelligent management system is characterized by: The above analysis is used to evaluate the performance of medical equipment operation in each department. The specific data analysis process is as follows: The ratio of the startup response period of each operation of each fixed medical device in each department to the total operation period is processed to obtain the proportion of the startup response period of each operation of each fixed medical device in each department; Through the proportion of the startup response period of each operation of each fixed medical equipment in each department, the highest operating temperature, the operating vibration frequency and the highest operating noise intensity, a comprehensive data analysis is conducted to obtain the first operation performance stability index of each fixed medical equipment in each department; Performing ratio processing on the total data transmission period of each operation of each fixed medical device in each department and the data transmission response period to obtain the data transmission response period ratio of each operation of each fixed medical device in each department; The data transmission volume of each operation of each fixed medical device in each department is processed by ratio with the total data transmission period to obtain the data transmission rate of each operation of each fixed medical device in each department; Therefore, through the data transmission response period proportion, average data transmission bandwidth and data transmission rate of each operation of each fixed medical device in each department, a comprehensive data analysis is performed to obtain the second operation performance stability index of each fixed medical device in each department; Based on the first operation performance stability index of each fixed medical equipment in each department and the second operation performance stability index of each fixed medical equipment in each department, a comprehensive analysis is performed to obtain the medical equipment operation performance evaluation value of each department.

7. According to claim 1, a hospital performance intelligent management system is characterized by: The specific analysis process of the comprehensive performance evaluation index of each department is as follows: The medical care performance evaluation value of each department is multiplied by the evaluation weight of the unit value corresponding to the preset medical care performance evaluation value. At the same time, the medical equipment operation performance evaluation value of each department is multiplied by the evaluation weight of the unit value corresponding to the preset medical equipment operation performance evaluation value, and the comprehensive performance evaluation index of each department is analyzed.

8. According to claim 1, a hospital performance intelligent management system is characterized by: The comprehensive performance comparison results of the departments specifically include a first comprehensive performance comparison result and a second comprehensive performance comparison result; The first comprehensive performance comparison result is that the comprehensive performance evaluation index of a department is higher than the comprehensive performance evaluation threshold of the corresponding department; The second comprehensive performance comparison result is that the comprehensive performance evaluation index of a department is equal to or lower than the comprehensive performance evaluation threshold of the corresponding department.

9. According to claim 8, a hospital performance intelligent management system is characterized by: According to the comprehensive performance comparison results of each department, it is determined whether to optimize the management of the performance resources of each department. The specific process is as follows: If the comprehensive performance comparison result of the department is that the comprehensive performance evaluation index of a department is higher than the comprehensive performance evaluation threshold of the corresponding department, it is necessary to optimize the management of the performance resources of the department; If the comprehensive performance comparison result of the department is that the comprehensive performance evaluation index of a department is equal to or lower than the comprehensive performance evaluation threshold of the corresponding department, there is no need to manage and optimize the performance resources of the department.

10. A method for applying the hospital performance intelligent management system as claimed in any one of claims 1 to 9, characterized in that: include: S1. Collect the medical performance data of each fixed medical staff in each department during the performance management cycle, and analyze the medical performance evaluation value of each department; S2. Obtain the operation performance data of each fixed medical equipment in each department during the performance management cycle, and analyze the medical equipment operation performance evaluation value of each department; S3. Comprehensively analyze the medical care performance evaluation values ​​of each department and the medical equipment operation performance evaluation values ​​of each department to obtain the comprehensive performance evaluation index of each department, and compare it with the comprehensive performance evaluation threshold of each department preset in the performance management library to obtain and determine whether to optimize the management of the performance resources of each department based on the comprehensive performance comparison results of each department.

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