Internet-based physical hospital comprehensive information management system

Abstract

The invention discloses an internet-based physical hospital comprehensive information management system, which relates to the technical field of hospital information management and comprises a data acquisition module, a data processing module, a calculation module and an analysis module. According to the method, factors such as resource types, use frequency and maintenance cost are comprehensively considered, a visual resource utilization situation overview is provided for hospitals, resource allocation can be optimized to a certain extent, resource waste is reduced, the resource use efficiency is improved, and the method combines multiple dimensions such as medical service quality and patient satisfaction, so that the medical service quality and the patient satisfaction are improved. The medical service efficiency is comprehensively evaluated to provide an improvement direction for hospitals, the system comprehensively evaluates the information management efficiency from multiple aspects of information management cost, information processing capability, information security and the like, and the hospitals can clearly see the actual effect of an information management strategy through quantitative analysis, so that the strategy is adjusted, the cost is reduced, and the medical service efficiency is improved. And the information management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital information management, and in particular to an Internet-based comprehensive information management system for physical hospitals. Background Art

[0002] With the rapid development and popularization of Internet technology, its application in all walks of life is becoming more and more extensive. In the medical field, the combination of the Internet and physical hospitals is becoming an important force in promoting the efficiency and quality of medical services. As the main provider of traditional medical services, physical hospitals are facing growing medical needs, complex medical processes and huge information management challenges.

[0003] However, the current information management methods of physical hospitals may only be able to provide simple data statistics, but lack in-depth analysis based on big data and sophisticated algorithms, which may lead to inefficient allocation and utilization of hospital resources, such as medical equipment, personnel, and beds, resulting in inefficient medical service processes, slow improvement in patient satisfaction and medical quality. In addition, it may be difficult to fully monitor and optimize the entire process in the existing hospital information management, resulting in uneven service quality in hospitals, and failure to comprehensively consider the quality of medical services, patient satisfaction, and timeliness of services, which may make it difficult to accurately evaluate the overall service efficiency. Summary of the invention

[0004] The purpose of the present invention is to provide an Internet-based comprehensive information management system for physical hospitals, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solution: an Internet-based physical hospital comprehensive information management system, comprising: Data collection module: The data collection module collects medical equipment usage information, personnel work information, bed usage information, patient satisfaction information, medical equipment maintenance information and medical management information in real time; Data processing module: The data processing module inputs medical equipment usage information, personnel work information, bed usage information, patient satisfaction information, medical equipment maintenance information and medical management information. The data processing module cleans the input data to remove duplicate data and invalid data, and organizes the data to output the theoretical available time of the i-th resource, the maintenance time of the i-th resource and the information management cost; Calculation module: The calculation module inputs the theoretical available time of the i-th resource, the maintenance time of the i-th resource and the information management cost, and outputs the resource utilization rate ROG, the medical service efficiency index EDF and the information management effectiveness index APL; Analysis module: The analysis module inputs the resource utilization rate ROG, the medical service efficiency index EDF and the information management effectiveness index APL. The analysis module analyzes the hospital's resource utilization, the hospital's service conditions and the hospital's comprehensive information management performance based on the input values, and formulates optimization measures based on the problems found.

[0006] Optionally, the calculation module includes: a hospital resource utilization submodule, a hospital service information submodule and a hospital comprehensive information submodule.

[0007] Optionally, the calculation formula of the hospital resource utilization submodule is as follows: ; in: ROG stands for resource utilization, RTA i Refers to the theoretical available time of the i-th resource, i refers to the index of the resource, including medical equipment resources, personnel resources and bed resources, RTM i Refers to the maintenance time of the i-th resource, which means the time when the i-th resource is stopped due to maintenance and failure. i refers to the weight coefficient of the i-th resource, n refers to the number of resource types, RE i Refers to the efficiency of the i-th resource in the process of use, RE i The value range is [0,1], 1 means that the resources are fully and efficiently used, 0 means that the resources are not used effectively at all, RS i Refers to the resource demand satisfaction rate of the i-th resource, RS i It reflects the matching of supply and demand of resources, and its value range is [0,1]. i -RTM i ) refers to the net available time of the i-th resource; Refers to all resources, from the 1st to the nth type, during the net available time, through RW i ,RE i and RS i Adjusted total utilization; Refers to the total amount of time after weight adjustment within the theoretical available time of all resources; The processing process of the hospital resource utilization submodule is as follows: the theoretical available time RTA of the i-th resource i and the maintenance time RTM of the i-th resource i Input into the hospital resource utilization submodule, and based on the efficiency RE of the i-th resource in the process of use i Output resource utilization ROG.

[0008] Optionally, the calculation formula of the hospital service information submodule is as follows: ; in: EDF refers to the medical service efficiency index, EDS refers to patient satisfaction, with a value range of [0,1], EDQ refers to medical quality, with a value range of [0,1], ETM refers to the actual completion time of medical services, ETR refers to the theoretical completion time of medical services, and (EDS + EDQ) / 2 refers to the intermediate indicator of the overall efficiency of hospital medical services; Refers to the timeliness and efficiency of a hospital in providing medical services; The processing process of the hospital service information submodule is as follows: inputting the resource utilization rate ROG into the hospital service information submodule, and outputting the medical service efficiency index EDF based on the patient satisfaction EDS and the actual completion time ETM of the medical service.

[0009] Optionally, the calculation formula of the hospital comprehensive information submodule is as follows: ; in: APL refers to the information management effectiveness index, APC refers to the information management cost, including hardware investment, software investment and human investment, APB refers to the total benefits brought by information management, m refers to the number of information management projects, including information system construction, data security protection and information process optimization, P j refers to the performance score of the jth information management project, with a value range of [0,1], (ROG + EDF) / 2 refers to the overall performance of the hospital in terms of resource utilization and medical service efficiency, and 1-(APC / APB) refers to the adjustment value representing the cost-effectiveness ratio of information management; Refers to the average of the sum of squares of all information management project performance scores, reflecting the overall performance level of the hospital in information management projects; Refers to the overall performance of the hospital in terms of information management projects; The processing process of the hospital comprehensive information submodule is as follows: input the resource utilization rate ROG and the medical service efficiency index EDF into the hospital comprehensive information submodule, and output the information management effectiveness index APL based on the total benefit APB brought by information management and the number m of information management projects.

[0010] Optionally, the information management cost refers to the total cost invested by the hospital in information management, including hardware cost, software cost, labor cost and related costs, specifically: Hardware costs, including servers, storage devices, and network equipment; Software costs, including operating systems, databases, and application software; Human resource costs, including salaries and benefits for information management department employees; Related costs, including training costs and maintenance costs.

[0011] Optionally, the performance score P of the j-th information management project j The calculation formula is as follows: Pj = (actual completion / planned completion) × (actual effect / expected effect); in: Actual completion indicates the degree of completion of the information management project in actual execution; Plan completion indicates the degree to which the information management project is completed according to the plan; The actual effect refers to the effect achieved by the information management project in actual application; The expected results represent the effects that the information management project is expected to achieve in the plan.

[0012] Optionally, the data processing module is used to clean, convert and organize the input data. During data cleaning, the input data is first input into a database, and then the data is cleaned using a database management system DBMS and data analysis software SQL. Data conversion is performed using data analysis software Python, and data organization is performed using a database management system DBMS in combination with a big data processing platform MySQL.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention outputs resource utilization rate ROG through the hospital resource utilization submodule. The resource utilization rate ROG reflects the effective utilization degree of hospital resources. The present invention can discover the bottleneck problems in resource utilization and then make targeted improvements. By calculating the resource utilization rate through this submodule, the hospital can clearly understand the use of various resources to make more reasonable resource allocation and avoid resource waste. Compared with the prior art, this submodule more finely considers the resource usage time and the importance weight of the resource, thereby more accurately reflecting the effective utilization degree of the resources.

[0014] 2. The present invention outputs the medical service efficiency index EDF through the hospital service information submodule. This submodule can comprehensively consider patient satisfaction, medical quality and timeliness of medical services, and provide hospitals with comprehensive medical service efficiency evaluation indicators. By optimizing these aspects, hospitals can improve overall medical service efficiency and meet the needs of more patients. The medical service efficiency index EDF can reflect the efficiency of the medical services provided by the hospital. By comprehensively considering patient satisfaction, medical quality and timeliness of medical services, hospitals can understand their own advantages and disadvantages in medical services and thus improve overall service efficiency. This submodule comprehensively considers multiple aspects such as patient satisfaction, medical quality and timeliness of medical services, and provides hospitals with more comprehensive medical service efficiency evaluation indicators, which helps hospitals discover shortcomings in services and make improvements.

[0015] 3. The present invention outputs the information management effectiveness index APL through the hospital comprehensive information submodule. This submodule takes into account factors such as resource utilization, medical service efficiency index, information management costs and benefits, and provides hospitals with comprehensive information management effectiveness evaluation indicators. By continuously optimizing the hospital, the information management level can be improved and the overall operational efficiency can be improved. The calculation of APL can reflect the overall effectiveness of the hospital's information management. By taking into account factors such as resource utilization and medical service efficiency index, the hospital can fully understand its performance in information management to formulate more effective information management strategies. This submodule takes into account information management costs and benefits, and can provide hospitals with more comprehensive information management effectiveness evaluation indicators, which helps hospitals to pursue high efficiency while taking into account cost control and maximum benefits.

[0016] 4. The weight coefficient RW of the i-th resource in the hospital resource utilization submodule based on the information management effectiveness index APL of the present invention i Perform a cyclic iteration. This iteration adjusts the resource weight RW i It can directly affect the relative importance of various resources in the hospital resource utilization submodule. This adjustment can make the calculation of resource utilization more in line with the current actual operational needs and strategic goals of the hospital. By constantly adjusting the resource weights and observing the changes in the APL values, the optimal weight configuration can be found to enable the hospital to achieve optimal performance in information management. This optimization not only improves the efficiency of information management but also reduces the cost of information management and improves the overall operational efficiency of the hospital. The resource utilization calculation results after iteration can accurately reflect the actual utilization of various resources in the hospital. At the same time, the resource weight RW in the hospital resource utilization submodule i It is an important factor affecting resource utilization rate ROG and medical service efficiency index EDF. APL is used to iterate the resource weight RW in the hospital resource utilization submodule. i After the iteration of effective optimization strategies, the calculation results of multiple groups of sub-modules are more accurate and in line with the actual needs of the hospital, which helps the hospital management to make more scientific decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of the method steps of the Internet-based physical hospital comprehensive information management system; Figure 2 This is a schematic diagram of the overall structure of the Internet-based physical hospital comprehensive information management system; Figure 3 This is a structural diagram of the computing module in the Internet-based comprehensive information management system for physical hospitals. DETAILED DESCRIPTION

[0018] 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.

[0019] This Internet-based physical hospital comprehensive information management system is different from the existing hospital comprehensive information management system. The existing hospital information management system may only provide simple data statistics, but lacks in-depth analysis based on big data and sophisticated algorithms, which may lead to the allocation and utilization of hospital resources, such as medical equipment, personnel and beds, which is not optimized, resulting in inefficient medical service processes, slow improvement in patient satisfaction and medical quality, and in the existing hospital information management. The medical service process may involve multiple links and departments, and the existing system may find it difficult to fully monitor and optimize the entire process, resulting in long waiting times for patients and uneven service quality. It fails to comprehensively consider the quality of medical services, patient satisfaction and service timeliness, which may make it difficult to accurately evaluate the overall service efficiency.

[0020] The module of this Internet-based comprehensive information management system for physical hospitals provides the hospital management with an intuitive overview of resource utilization by considering factors such as resource type, frequency of use, and maintenance cost. This method can optimize resource allocation, reduce resource waste, and improve resource utilization efficiency. This method combines multiple dimensions such as the quality of medical services and patient satisfaction, and comprehensively evaluates the efficiency of medical services to provide hospitals with improvement directions. The present invention comprehensively evaluates information management effectiveness from multiple angles such as information management costs, information processing capabilities, and information security. Through quantitative analysis, hospitals can clearly see the actual effects of information management strategies, and then adjust strategies, reduce costs, and improve information management effectiveness.

[0021] Example 1: Please refer to Figures 1 to 3 , this implementation provides an Internet-based physical hospital comprehensive information management system, including: The data collection module collects medical equipment usage information, personnel work information, bed usage information, patient satisfaction information, medical equipment maintenance information and medical management information in real time; Inputting medical equipment usage information, personnel work information, bed usage information, patient satisfaction information, medical equipment maintenance information and medical management information into the data processing module, the data processing module cleans the input data to remove duplicate data and invalid data, and organizes the data to output the theoretical available time of the i-th resource, the maintenance time of the i-th resource and the information management cost; The theoretical available time of the i-th resource, the maintenance time of the i-th resource and the information management cost are input into the calculation module, and the calculation module outputs the resource utilization rate ROG, the medical service efficiency index EDF and the information management effectiveness index APL; Input the resource utilization rate ROG, medical service efficiency index EDF and information management effectiveness index APL into the analysis module. The analysis module analyzes the resource utilization, service conditions and comprehensive information management performance of the hospital based on the input values, and formulates optimization measures for the problems found. The calculation module includes: hospital resource utilization submodule, hospital service information submodule and hospital comprehensive information submodule.

[0022] In this embodiment: Through the Internet platform, the present invention enables hospitals to efficiently collect, organize and analyze various types of medical information, improve the speed and accuracy of information processing, and multiple groups of sub-modules are combined to provide a comprehensive information management evaluation system for the hospital. By calculating indicators such as resource utilization, medical service efficiency index and comprehensive information management effectiveness evaluation, the hospital can fully understand its performance in information management, discover existing problems and deficiencies, and formulate targeted improvement strategies. This will help hospitals improve overall operational efficiency and service quality, and provide patients with better medical services. Multiple groups of sub-modules provide a quantitative evaluation method for comprehensive information management of hospitals. By calculating resource utilization ROG, medical service efficiency index EDF and comprehensive information management effectiveness evaluation APL, the hospital can clearly understand its performance in resource management, medical service efficiency and information management. The quantitative evaluation results help hospital management to make more accurate decisions. For example, based on the calculation results of resource utilization rate ROG, hospitals can identify which resources are overused or idle, so as to optimize resources and adjust their allocation. The calculation of medical service efficiency index EDF takes into account multiple factors such as patient satisfaction, medical quality and timeliness of medical services, which helps hospitals improve the efficiency and quality of medical services, thereby enhancing patients' medical experience and satisfaction. The comprehensive information management effectiveness evaluation APL introduces two parameters, namely information management cost APC and information management benefit APB, which helps hospitals to carry out cost control and benefit analysis in information management and realize reasonable allocation and efficient utilization of resources. The present invention evaluates the comprehensive information management of hospitals from multiple dimensions such as resource utilization rate, medical service efficiency and information management effectiveness, which reflects the novelty of the evaluation method. This multi-dimensional evaluation method can more comprehensively reflect the performance of hospitals in comprehensive information management.

[0023] See also Figures 1 to 3 ,The processing process of the hospital resource utilization sub-module is as follows: ; in: ROG stands for resource utilization, RTA i refers to the theoretical available time of the i-th resource, i refers to the index of the resource, including medical equipment resources, personnel resources and bed resources; RTM i Refers to the maintenance time of the i-th resource, which means the time when the i-th resource is out of use due to maintenance or failure. It refers to the time when the i-th resource is out of use due to maintenance, maintenance or failure. This time reflects the degree to which the resource is unavailable due to non-usage factors; R i refers to the weight coefficient of the i-th resource, n refers to the number of resource types, RE i Refers to the efficiency of the i-th resource in the process of use; RE i The value range is [0,1], where 1 means that the resource is fully and efficiently used and 0 means that the resource is not effectively used at all. This parameter takes into account the various efficiency losses that may occur during the use of resources, making the calculation of resource utilization closer to the actual situation; RS i Refers to the resource demand satisfaction rate of the i-th resource, RS i It reflects the matching of resource supply and demand, and its value range is [0,1]. By introducing the demand satisfaction rate, we can evaluate the effectiveness of resources in meeting the needs of patients or medical services, which helps hospital management understand the matching of resource supply and demand and make more scientific decisions. (RTA i -RTM i ) refers to the net available time of the i-th resource. By subtracting the maintenance time from the theoretical available time, we get the net available time of the resource, which more accurately reflects the time that the resource is actually available for service; Refers to all resources, from the 1st to the nth type, during the net available time, through RW i ,RE i and RS i Adjusted total utilization. This summation function provides a quantitative indicator for hospitals to comprehensively evaluate resource utilization, which helps hospital management understand the actual utilization efficiency of resources and the matching of supply and demand; It refers to the total amount of time after weight adjustment within the theoretically available time of all resources, which reflects the total amount of resource services that the hospital can theoretically provide; The theoretical available time RTA of the i-th resource i and the maintenance time RTM of the i-th resource i Input into the hospital resource utilization submodule, and based on the efficiency RE of the i-th resource in the process of use i Output resource utilization ROG.

[0024] In this embodiment: two summation functions are used in this submodule. By calculating the ratio of the two summation functions, the hospital can obtain a specific value to quantitatively evaluate the utilization efficiency of resources. The larger the value, the higher the utilization efficiency of resources, and the higher the service quality and efficiency of the hospital. By comparing the utilization rates of different resources, the hospital management can identify which resources have low utilization efficiency or mismatch between supply and demand, so as to take targeted measures to optimize resource allocation. For example, for resources with low utilization efficiency, it can be considered to increase their maintenance investment, improve the skills of operators or update equipment to improve their utilization efficiency. For resources with mismatch between supply and demand, Resources can adjust their weights or increase resource input according to actual needs to meet the needs of patients and medical services. Resource utilization ROG can reflect the effective utilization of hospital resources. By referring to the usage time, the hospital can find bottlenecks and problems in resource utilization, so as to make targeted improvements. By calculating the resource utilization rate through this sub-module, the hospital can clearly understand the actual usage of various resources and the theoretical available time, so as to make more reasonable resource allocation and avoid resource waste. Compared with the existing technology, this sub-module considers the resource usage time and the importance weight of the resource more finely, so as to more accurately reflect the effective utilization of resources.

[0025] See also Figures 1 to 3 ,The processing process of the hospital service information sub-module is as follows: ; in: EDF refers to the Efficiency Index of Health Services; EDS refers to patient satisfaction, with a value range of [0,1]; EDS is obtained through a questionnaire survey. The hospital will design a questionnaire containing multiple questions. These questions involve various aspects of hospital services, such as the professional level of doctors, the nursing attitude of nurses, the cleanliness of the hospital, waiting time, etc. After the patient completes the questionnaire, the hospital will score the answer to each question and summarize or weighted average the scores of all questions to finally get a value between 0 and 1, namely, the patient satisfaction EDS. 0 means that the patient is completely dissatisfied, and 1 means that the patient is completely satisfied. In actual applications, patient satisfaction is usually a value between 0 and 1, reflecting the patient's overall evaluation of hospital services. EDQ refers to medical quality, and its value range is [0,1]; Medical quality EDQ is obtained through comprehensive evaluation of multiple medical quality indicators, which may include medical error rate, cure rate, improvement rate, mortality rate, etc. The hospital will select appropriate indicators according to the actual situation and set a scoring standard for each indicator. Then the hospital will collect data for each indicator and score each indicator according to the scoring standard. Finally, the hospital will summarize or weighted average the scores of all indicators to obtain a value between 0 and 1, that is, medical quality EDQ. 0 indicates extremely poor medical quality and 1 indicates extremely high medical quality. In actual applications, medical quality EDQ is usually a value between 0 and 1, reflecting the overall quality level of the hospital in medical services. ETM refers to the actual completion time of medical services, and ETR refers to the theoretical completion time of medical services; (EDS + EDQ) / 2 refers to the intermediate indicator of the overall efficiency of hospital medical services; The calculation result of (EDS + EDQ) / 2 helps the hospital management to have a more comprehensive understanding of the overall situation of the hospital in terms of medical services. This intermediate indicator can be used as one of the important bases for the hospital to formulate improvement measures and optimization strategies, which helps to improve the service quality and efficiency of the hospital. Refers to the timeliness and efficiency of a hospital in providing medical services; It represents the ratio of the actual completion time of medical services to the theoretical completion time. This ratio reflects the timeliness and efficiency of the hospital in providing medical services. If ETM is less than ETR, it means that the hospital can complete the medical services ahead of schedule; if ETM is equal to ETR, it means that the hospital can complete the medical services on time; if ETM is greater than ETR, it means that the hospital has delays in providing medical services. The calculation result of ETM / ETR helps the hospital management understand the hospital's performance in the timeliness of medical services. This ratio can be used as one of the important bases for the hospital to evaluate service efficiency, formulate improvement measures and optimize processes. Through the square root processing, the ratio of ETM / ETR can make the impact of the overall efficiency index EDF more significant in the case of delays. This processing can help the hospital management pay more attention to the timeliness of medical services and take effective measures to reduce the occurrence of delays. The square root processing can also make the formula more reasonable and stable in mathematics. Through the square root processing, the calculation result of the formula can be made more sensitive when ETM / ETR is close to 1, thereby more accurately reflecting the slight changes in the hospital's medical service efficiency. The resource utilization rate ROG is input into the hospital service information sub-module, and the medical service efficiency index EDF is output based on the patient satisfaction EDS and the actual completion time ETM of medical services.

[0026] In this embodiment: This submodule comprehensively considers patient satisfaction, medical quality and timeliness of medical services, and provides a comprehensive medical service efficiency evaluation indicator for the hospital. By optimizing these aspects, the hospital can improve the overall medical service efficiency and meet the needs of more patients. The medical service efficiency index EDF can reflect the efficiency of the hospital in providing medical services. By comprehensively considering patient satisfaction, medical quality and timeliness of medical services, the hospital can understand its own strengths and weaknesses in medical services, and thus improve the overall service efficiency. This submodule comprehensively considers patient satisfaction, medical quality and timeliness of medical services, and provides a more comprehensive medical service efficiency evaluation indicator for the hospital, which helps the hospital to discover shortcomings in its services and make improvements.

[0027] See also Figures 1 to 3 ,The processing process of the hospital comprehensive information sub-module is as follows: ; in: APL refers to the Information Management Effectiveness Index; APC refers to information management cost; Information management cost refers to the total cost invested by the hospital in information management, including hardware cost, software cost, labor cost and related costs, specifically: Hardware costs, including servers, storage devices, and network equipment; Software costs, including operating systems, databases, and application software; Human resource costs, including salaries and benefits for information management department employees; Related costs, including training costs and maintenance costs; APB refers to the total benefits brought by information management, m refers to the number of information management projects, including information system construction, data security protection, and information process optimization; P j Refers to the performance score of the jth information management project, with a value range of [0,1], reflecting the effect of the information management project in actual application; The performance score P of the jth information management project j The calculation formula is as follows: Pj = (actual completion / planned completion) × (actual effect / expected effect); in: Actual completion indicates the degree of completion of the information management project in actual execution; Plan completion indicates the degree to which the information management project is completed according to the plan; The actual effect refers to the effect achieved by the information management project in actual application; The expected results represent the effects that the information management project is expected to achieve in the plan.

[0028] (ROG + EDF) / 2 refers to the overall performance of the hospital in terms of resource utilization and medical service efficiency; The use of (ROG + EDF) / 2 helps to comprehensively consider the hospital's performance in resource utilization and medical service efficiency. By calculating this average value, the hospital can have a more comprehensive understanding of its own strengths and weaknesses in information management, and thus formulate more scientific improvement measures and optimization strategies, which is of great significance for improving the hospital's service quality and efficiency, and reducing operating costs. 1 – (APC / APB) refers to the adjusted value representing the cost-effectiveness ratio of information management; By calculating 1-(APC / APB), the relationship between the cost of information management and the benefits it brings can be reflected. If the value of APC / APB is less than 1, it means that the cost of information management is relatively low and the benefits are relatively high. If the value of APC / APB is greater than 1, it means that the cost of information management is relatively high and the benefits are relatively low. By adjusting 1-(APC / APB), the overall formula can more sensitively reflect the changes in the cost-effectiveness of information management. The use of 1-(APC / APB) helps to adjust the impact of the cost-effectiveness of information management on the comprehensive information management effectiveness evaluation. By calculating this adjustment value, the hospital can more accurately evaluate the performance of information management in terms of cost-effectiveness, thereby formulating more reasonable cost management strategies and optimization plans, which plays an important role in reducing hospital operating costs and improving information management efficiency. Refers to the average of the sum of squares of all information management project performance scores, reflecting the overall performance level of the hospital in information management projects; This summation function reflects the overall performance level of the hospital in information management projects. By calculating the average of the sum of squares of all information management project performance scores, we can have a more comprehensive understanding of the hospital's performance in information management projects. This summation function not only takes into account the performance score of each project, but also the differences between projects. Through the processing method of the sum of squares, the impact of projects with higher performance scores on the overall performance level can be made more significant, which is of great significance for hospitals to formulate information management project priorities and optimize project portfolios. Refers to the overall performance of the hospital in terms of information management projects; The information management effectiveness index APL calculated after the parameter is updated has better stability than the original performance score, which means that even if the performance score of one or some projects fluctuates greatly, the APL will not change too drastically, which helps to avoid excessive impact on the overall evaluation due to abnormal performance of individual projects; The resource utilization rate ROG and the medical service efficiency index EDF are input into the hospital comprehensive information sub-module, and the information management effectiveness index APL is output based on the total benefit APB brought by information management and the number m of information management projects.

[0029] In this embodiment: This submodule takes into account factors such as resource utilization, medical service efficiency index, information management costs and benefits, and provides a comprehensive information management effectiveness evaluation index for the hospital. Through continuous optimization, the hospital can improve the level of information management and thus improve the overall operational efficiency. The calculation of APL can reflect the overall effectiveness of hospital information management. By taking into account factors such as resource utilization, medical service efficiency index, information management costs and benefits, the hospital can fully understand its performance in information management and formulate a more effective information management strategy. This submodule takes into account information management costs and benefits, and provides a more comprehensive information management effectiveness evaluation index for the hospital. This helps hospitals to take into account cost control and maximize benefits while pursuing high efficiency.

[0030] It is worth noting that the weight coefficient RW of the i-th resource in the hospital resource utilization submodule based on the information management effectiveness index APL i The resource utilization rate ROG, the medical service efficiency index EDF and the information management effectiveness index APL are iterated in a cycle. The specific processing process is as follows: first: ; Second: Set the iteration termination condition: Termination condition 1: The number of iterations is 100; Termination condition 2: |RW i，k -RW i，k-1 |<0.001; in: R i，k Refers to the weight coefficient of the i-th resource after iteration k, RW i，k-1 Refers to the weight coefficient of the i-th resource after iteration k-1 times, RAQ refers to the adjustment weight, which is used to control the amplitude of the weight adjustment, APL k-1 Refers to the information management efficiency index after iteration k-1 times, APL k-2 Refers to the information management effectiveness index after iteration k-2 times. AAP refers to a small positive number used to avoid the situation where the denominator is zero.

[0031] In this embodiment: first, the difference between two adjacent iteration results, that is, (APL k-1 -APL k-2 ), can capture the changing trend of the information management effectiveness index APL. This difference reflects the degree of improvement or degradation of information management effectiveness from the k-2th iteration to the k-1th iteration. Using the difference as the basis for adjusting resource weights can make the adjustment strategy more sensitive and responsive to changes in information management effectiveness. When the information management effectiveness is significantly improved, the difference will be larger, thereby prompting a larger adjustment of resource weights; conversely, when the information management effectiveness does not change much or degrades, the difference will be smaller or negative, and the adjustment of resource weights will be reduced or adjusted in the opposite direction accordingly. k-1 -APL k-2 ) divided by the k-2 iteration result of APL is a relative change, which reflects the improvement or degradation ratio of information management effectiveness from the k-2 iteration to the k-1 iteration relative to the previous iteration; This iteration adjusts the resource weight RW iDirectly affects the relative importance of each resource in the hospital resource utilization submodule. This adjustment can make the calculation of resource utilization more in line with the hospital's current actual operational needs and strategic goals. For example, if the hospital is currently in urgent need of improving the utilization rate of medical equipment, then the proportion of medical equipment in the resource weight can be increased through iteration, so that the calculation result of resource utilization ROG is more inclined to reflect the utilization of medical equipment. Since the medical service efficiency index EDF in the hospital service information submodule is calculated based on multiple factors such as resource utilization ROG, patient satisfaction EDS and medical quality EDQ, the iterative adjustment of resource weights will also indirectly affect the calculation result of EDF. By optimizing resource weights, the overall resource utilization rate can be improved, which may in turn improve the medical service efficiency index, making the hospital more efficient and high-quality in providing medical services. The core goal of iteration is to optimize the comprehensive information management effectiveness evaluation APL in the hospital comprehensive information submodule. By continuously adjusting resource weights and observing changes in APL values, a set of optimal weight configurations can be found to make the hospital The hospital achieves optimal performance in information management. This optimization not only improves the efficiency of information management, but also reduces the cost of information management and improves the overall operational efficiency of the hospital. The calculation results of resource utilization after iteration can more accurately reflect the actual utilization of various resources in the hospital, which helps the hospital management to make more scientific decisions. After iteration, the calculation results of the medical service efficiency index can more comprehensively reflect the efficiency and quality of the hospital in providing medical services, which helps the hospital to improve the overall service level. The calculation results of the comprehensive information management effectiveness evaluation after iteration can more accurately reflect the effectiveness and benefits of the hospital in information management, which helps the hospital to optimize the information management process, reduce costs and improve benefits. The core idea of ​​iteration is to achieve the best performance in information management by continuously optimizing resource weights. The comprehensive information management effectiveness evaluation APL in the comprehensive information submodule of the hospital is the key indicator for measuring the effectiveness of hospital information management. Therefore, by observing the changes in the APL value, it can be judged whether the current resource weight configuration is optimal. At the same time, the resource weight RW in the hospital resource utilization submodule i It is an important factor affecting resource utilization ROG and medical service efficiency index EDF. By adjusting the resource weight, the calculation results of ROG and EDF can be indirectly affected, thereby optimizing the overall operational efficiency of the hospital. Therefore, APL is used to iterate the resource weight RW in the hospital resource utilization submodule. iIt is an effective optimization strategy. After iteration, the calculation results of multiple groups of sub-modules are more accurate and in line with the actual needs of the hospital, which helps the hospital management to make more scientific decisions. The iterative form can enable the hospital to achieve optimal efficiency in information management and optimize the overall operational efficiency of the hospital by continuously adjusting resource weights. The iterative form allows the hospital to flexibly adjust resource weights according to current operational needs and strategic goals to adapt to the ever-changing market environment. Through iterative optimization, the hospital can continuously improve its efficiency and quality in information management and medical services and achieve sustainable development.

[0032] In the specific implementation process, multiple sub-modules in this method are used to form an Internet-based physical hospital comprehensive information management system. By calculating the theoretical available time RTA of the i-th resource i and the maintenance time RTM of the i-th resource i Input into the hospital resource utilization submodule, and based on the efficiency RE of the i-th resource in the process of use i Output resource utilization rate ROG. Resource utilization rate ROG can reflect the effective utilization of hospital resources. The present invention can find bottlenecks and problems in resource utilization and make targeted improvements. By calculating resource utilization rate through this submodule, the hospital can clearly understand the usage and available time of various resources, make more reasonable resource allocation, and avoid resource waste. Compared with the prior art, this submodule considers the usage time of resources and the importance weight of resources more finely, so as to more accurately reflect the effective utilization of resources. By inputting the resource utilization rate ROG into the hospital service information submodule, and outputting the medical service efficiency index EDF based on the patient satisfaction EDS and the actual completion time of medical services ETM, this submodule comprehensively considers patient satisfaction, medical quality and the timeliness of medical services, and provides hospitals with comprehensive medical service efficiency evaluation indicators. By optimizing these aspects, hospitals can improve the overall medical service efficiency and meet the needs of more patients. The medical service efficiency index EDF can reflect the efficiency of the hospital in providing medical services. By comprehensively considering patient satisfaction, medical quality and the timeliness of medical services, hospitals can understand their own strengths and weaknesses in medical services and thus improve the overall service efficiency. This submodule comprehensively considers patient satisfaction, medical quality and the timeliness of medical services and other aspects, and provides hospitals with more comprehensive medical service efficiency evaluation indicators, which helps hospitals discover shortcomings in services and make improvements; By inputting resource utilization rate ROG and medical service efficiency index EDF into the comprehensive information sub-module of the hospital, and outputting the information management effectiveness index APL based on the total benefits APB brought by information management and the number m of information management projects, this sub-module takes into account factors such as resource utilization rate, medical service efficiency index, information management cost and benefits, and provides hospitals with comprehensive information management effectiveness evaluation indicators. Through continuous optimization, hospitals can improve the level of information management and thus improve overall operational efficiency. APL calculation can reflect the overall effectiveness of hospital information management. By taking into account factors such as resource utilization rate, medical service efficiency index, information management cost and benefits, hospitals can fully understand their performance in information management and formulate more effective information management strategies. This sub-module can take into account information management costs and benefits, and provide hospitals with more comprehensive information management effectiveness evaluation indicators, which helps hospitals to balance cost control and maximize benefits while pursuing high efficiency. The weight coefficient RW of the i-th resource in the hospital resource utilization submodule based on the information management effectiveness index APL i Perform a cyclic iteration. This iteration adjusts the resource weight RW i It can directly affect the relative importance of various resources in the hospital resource utilization submodule. This adjustment can make the calculation of resource utilization more in line with the current actual operational needs and strategic goals of the hospital. The core goal of the iteration is to optimize the comprehensive information management effectiveness evaluation APL in the hospital comprehensive information submodule. By continuously adjusting the resource weights and observing the changes in the APL values, a set of optimal weight configurations can be found to enable the hospital to achieve the best performance in information management. This optimization not only improves the efficiency of information management but also reduces the cost of information management, and improves the overall operational efficiency of the hospital. The calculation results of resource utilization after iteration can more accurately reflect the actual utilization of various resources in the hospital, which helps the hospital management to make more scientific decisions. By observing the changes in the APL values, it can be judged whether the current resource weight configuration is optimal. At the same time, the resource weight RW in the hospital resource utilization submodule i It is an important factor affecting resource utilization rate ROG and medical service efficiency index EDF. By adjusting the resource weight, the calculation results of ROG and EDF can be indirectly affected, thereby optimizing the overall operating efficiency of the hospital. The resource weight RW in the hospital resource utilization submodule is iterated through APL i It is an effective optimization strategy. After iteration, the calculation results of multiple groups of sub-modules are more accurate and meet the actual needs of the hospital, which helps the hospital management to make more scientific decisions; This allows the various sub-modules to cooperate with each other in calculations, and to perform overall cycles and iterations, so that the overall system has the effect of automatic optimization and updating, and thus better adaptability.

[0033] Example 2: Please refer to Figure 1 , Figure 2 and Figure 3 The data processing module is used to clean, convert and organize the input data. When cleaning the data, the input data is first input into the database, and then the database management system DBMS and data analysis software SQL are used for data cleaning. The data conversion is performed through the data analysis software Python, and the data is sorted through the database management system DBMS combined with the big data processing platform MySQL.

[0034] In this embodiment: the data can be cleaned by the data processing module to remove duplicate data, invalid data, abnormal data, etc. to ensure the accuracy and completeness of the data. The data processing module can then convert the data and convert the collected raw data into a format that can be used for calculation. Finally, the data processing module organizes the data and integrates the cleaned and converted data into a unified database to facilitate subsequent calculations and analysis.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An Internet-based comprehensive information management system for physical hospitals, characterized by: include: Data collection module: The data collection module collects medical equipment usage information, personnel work information, bed usage information, patient satisfaction information, medical equipment maintenance information and medical management information in real time; Data processing module: The data processing module inputs medical equipment usage information, personnel work information, bed usage information, patient satisfaction information, medical equipment maintenance information and medical management information. The data processing module cleans the input data to remove duplicate data and invalid data, and organizes the data to output the theoretical available time of the i-th resource, the maintenance time of the i-th resource and the information management cost; Calculation module: The calculation module inputs the theoretical available time of the i-th resource, the maintenance time of the i-th resource and the information management cost, and outputs the resource utilization rate ROG, the medical service efficiency index EDF and the information management effectiveness index APL; Analysis module: The analysis module inputs the resource utilization rate ROG, the medical service efficiency index EDF and the information management effectiveness index APL. The analysis module analyzes the hospital's resource utilization, the hospital's service conditions and the hospital's comprehensive information management performance based on the input values, and formulates optimization measures based on the problems found.

2. The Internet-based physical hospital comprehensive information management system according to claim 1, characterized in that: The calculation module includes: a hospital resource utilization submodule, a hospital service information submodule and a hospital comprehensive information submodule.

3. The Internet-based physical hospital comprehensive information management system according to claim 2, characterized in that: The calculation formula of the hospital resource utilization submodule is as follows: ; in: ROG stands for resource utilization, RTA i Refers to the theoretical available time of the i-th resource, i refers to the index of the resource, including medical equipment resources, personnel resources and bed resources, RTM i Refers to the maintenance time of the i-th resource, which means the time when the i-th resource is stopped due to maintenance and failure. i refers to the weight coefficient of the i-th resource, n refers to the number of resource types, RE i Refers to the efficiency of the i-th resource in the process of use, RE i The value range is [0,1], 1 means that the resources are fully and efficiently used, 0 means that the resources are not used effectively at all, RS i Refers to the resource demand satisfaction rate of the i-th resource, RS i It reflects the matching of supply and demand of resources, and its value range is [0,1]. i -RTM i ) refers to the net available time of the i-th resource; Refers to all resources, from the 1st to the nth type, during the net available time, through RW i ,RE i and RS i Adjusted total utilization; Refers to the total amount of time after weight adjustment within the theoretical available time of all resources; The processing process of the hospital resource utilization submodule is as follows: the theoretical available time RTA of the i-th resource i and the maintenance time RTM of the i-th resource i Input into the hospital resource utilization submodule, and based on the efficiency RE of the i-th resource in the process of use i Output resource utilization ROG.

4. The Internet-based physical hospital comprehensive information management system according to claim 3 is characterized by: The calculation formula of the hospital service information submodule is as follows: ; in: EDF refers to the medical service efficiency index, EDS refers to patient satisfaction, with a value range of [0,1], EDQ refers to medical quality, with a value range of [0,1], ETM refers to the actual completion time of medical services, ETR refers to the theoretical completion time of medical services, and (EDS + EDQ) / 2 refers to the intermediate indicator of the overall efficiency of hospital medical services; Refers to the timeliness and efficiency of a hospital in providing medical services; The processing process of the hospital service information submodule is as follows: inputting the resource utilization rate ROG into the hospital service information submodule, and outputting the medical service efficiency index EDF based on the patient satisfaction EDS and the actual completion time ETM of the medical service.

5. The Internet-based physical hospital comprehensive information management system according to claim 4, characterized in that: The calculation formula of the hospital comprehensive information submodule is as follows: ； in: APL refers to the information management effectiveness index, APC refers to the information management cost, including hardware investment, software investment and human investment, APB refers to the total benefits brought by information management, m refers to the number of information management projects, including information system construction, data security protection and information process optimization, P j refers to the performance score of the jth information management project, with a value range of [0,1], (ROG + EDF) / 2 refers to the overall performance of the hospital in terms of resource utilization and medical service efficiency, and 1-(APC / APB) refers to the adjustment value representing the cost-effectiveness ratio of information management; Refers to the average of the sum of squares of all information management project performance scores, reflecting the overall performance level of the hospital in information management projects; Refers to the overall performance of the hospital in terms of information management projects; The processing process of the hospital comprehensive information submodule is as follows: input the resource utilization rate ROG and the medical service efficiency index EDF into the hospital comprehensive information submodule, and output the information management effectiveness index APL based on the total benefit APB brought by information management and the number m of information management projects.

6. The Internet-based physical hospital comprehensive information management system according to claim 5, characterized in that: The information management cost refers to the total cost invested by the hospital in information management, including hardware cost, software cost, labor cost and related costs, specifically: Hardware costs, including servers, storage devices, and network equipment; Software costs, including operating systems, databases, and application software; Human resource costs, including salaries and benefits for information management department employees; Related costs, including training costs and maintenance costs.

7. The Internet-based physical hospital comprehensive information management system according to claim 5, characterized in that: The performance score P of the j-th information management project j The calculation formula is as follows: Pj = (actual completion / planned completion) × (actual effect / expected effect); in: Actual completion indicates the degree of completion of the information management project in actual execution; Plan completion indicates the degree to which the information management project is completed according to the plan; The actual effect refers to the effect achieved by the information management project in actual application; The expected results represent the effects that the information management project is expected to achieve in the plan.

8. The Internet-based physical hospital comprehensive information management system according to claim 1, characterized in that: The data processing module is used to clean, convert and organize the input data. During data cleaning, the input data is first input into the database, and then the database management system DBMS and data analysis software SQL are used for data cleaning. Data conversion is performed through the data analysis software Python, and data organization is processed through the database management system DBMS in combination with the big data processing platform MySQL.

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