A hospital comprehensive operation management method and system

Abstract

The present invention discloses a comprehensive hospital operation management method and system, which relates to the technical field of administrative comprehensive management. Specifically, it first obtains and configures the accounts of patients and staff, then screens the active accounts, and extracts the corresponding behavior and work content factors from the information database; then, constructs a work scenario simulation diagram, configures simulation particles to simulate the actual hospital work scenario, determines the work processing blocks and constructs the processing lines to simulate the internal work process of the hospital; by driving the movement of the simulation particles and applying interaction rules, calculates the work processing progress and references the work completion volume; by comparing the actual work completion volume with the reference volume, realizes the work quality assessment of the work quality of the staff. Through the above technical solutions, the present invention realizes the timely work quality assessment of the staff, which helps to improve the hospital service quality and optimize the management efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of administrative comprehensive management, and in particular to a hospital comprehensive operation management method and system. Background Art

[0002] In the current medical environment, hospitals are facing major challenges in improving the efficiency of comprehensive operation management. With the continuous progress of medical technology and the increasing growth of medical service demands, as the main provider of medical services, the complexity and importance of hospital operation management have become increasingly prominent. Traditional hospital management models have obvious deficiencies in monitoring and evaluating the work quality of staff, such as the lack of real-time data support, inconsistent evaluation criteria, and imperfect feedback mechanisms. These problems have severely restricted the improvement of hospital service quality and the optimization of management efficiency.

[0003] Specifically, traditional hospital management models often rely on manual reports and post-event analysis, and cannot achieve real-time monitoring of the work quality of staff. This results in hospital management being unable to obtain accurate and comprehensive work data in a timely manner, and unable to objectively and scientifically evaluate the work performance of staff. At the same time, due to the inconsistency of evaluation criteria, there are significant subjectivity and differences in the work quality evaluation between different departments and different positions, making it difficult to form a fair and just incentive mechanism. In addition, traditional feedback mechanisms often have lag and incompleteness, and cannot timely and accurately reflect the problems and deficiencies of staff in their work, nor can they provide targeted improvement suggestions and guidance for staff. Summary of the Invention

[0004] The purpose of the present invention is to provide a hospital comprehensive operation management method and system that can timely evaluate the work quality of hospital staff.

[0005] A hospital comprehensive operation management method includes:

[0006] Obtain the registration information of patients and staff, configure staff accounts based on the registration information of staff, and configure patient accounts based on the registration information of patients;

[0007] Determine the patient accounts and staff accounts that are active within a preset monitoring time period, denoted as the monitored patient accounts and the monitored staff accounts. Based on the analysis of the registration information corresponding to the monitored patient accounts, determine the corresponding behavior content factors in the behavior information database. Based on the analysis of the registration information corresponding to the monitored staff accounts, determine the corresponding work content factors in the work information database;

[0008] Construct a work scenario simulation diagram. Based on the monitored patient account and its associated behavioral content factors, configure patient simulation particles in the work scenario simulation diagram. Based on the monitored staff account and its associated work content factors, configure staff simulation particles in the work scenario simulation diagram;

[0009] Based on the work content factors corresponding to the monitored staff account, determine the work processing blocks of the staff simulation particles, and construct multi-directional work processing lines between the work processing blocks. Based on the behavioral content factors corresponding to the monitored patient account, determine the work processing blocks targeted by the patient simulation particles, and construct one-way work processing lines between the work processing blocks;

[0010] Drive the staff simulation particles in the work scenario simulation diagram to move on the multi-directional work processing lines, and drive the patient simulation particles in the work scenario simulation diagram to move on the one-way work processing lines. Based on the preset interaction rules of the simulation particles, determine the respective work processing progress of the staff simulation particles and the reference work completion volume of the staff simulation particles;

[0011] Obtain the actual work content information of the monitored staff account, and based on the actual work content information, determine the actual work completion volume of the monitored staff. Based on the work completion volume difference between the reference work completion volume and the actual work completion volume, evaluate the work quality of the staff corresponding to the monitored staff account.

[0012] In some embodiments disclosed in the present invention, the method for determining the corresponding behavioral content factors in the behavior information library includes:

[0013] Determine the patient's preliminary diagnosis information, age, and gender, and use the preliminary diagnosis information, age, and gender as retrieval tags to find the corresponding behavioral content factors in the behavior information library. The behavioral content factors include the work processing blocks the patient goes to, the items to be processed for each work processing block, and the order of going to the work processing blocks;

[0014] In the work information library, the method for determining the corresponding work content factors includes:

[0015] Determine the work location and work content of the staff, and use the work location and work content as retrieval tags to find the corresponding work content factors in the work information library. The work content factors include the work processing blocks where the staff works, the sub-work contents under the work content, and the work volume corresponding to each sub-work content.

[0016] In some embodiments disclosed in the present invention, the method for determining the respective processing progress of the patient simulation particles and the staff simulation particles based on the preset interaction rules of the simulation particles includes:

[0017] Drive the patient to simulate moving on the single-particle work processing line, and after reaching each work processing block as the target, trigger the docking instruction of the staff-simulated particle, and drive the staff-simulated particle to go to the work processing block to dock with the patient-simulated particle;

[0018] If the staff-simulated particle and the patient-simulated particle are in the same work processing block, trigger the sub-work content interaction instruction of the work-simulated particle and the patient-simulated particle;

[0019] When the sub-work content interaction instruction is triggered, determine the sub-work content to be interacted in the sub-work content processing sequence corresponding to the patient-simulated particle, and incorporate the determined sub-work content into the sub-work content processing sequence corresponding to the staff-simulated particle. Classify and divide different sub-work contents based on the types of sub-work contents incorporated into the sub-work content processing sequence, and determine the urgent sub-work content to be processed immediately and the accumulated sub-work content that needs to be accumulated to a fixed volume or processed within a preset time period;

[0020] If the staff-simulated particle receives a docking instruction while processing the urgent sub-work content or the accumulated sub-work content in the work processing block, record the urgent sub-work content or the accumulated sub-work content in the work processing block, and mark the work processing block as pending processing;

[0021] If the work processing block is marked as pending processing, send work processing commands to the staff-simulated particles in sequence according to the corresponding staff-simulated particle sequence. If there is a staff-simulated particle in an idle state, drive the corresponding staff-simulated particle to go to the corresponding work processing block for processing.

[0022] In some embodiments disclosed by the present invention, the method for determining the work processing progress of each staff-simulated particle includes:

[0023] Determine the preset work volume of each of the urgent sub-work content and the accumulated sub-work content, and based on the preset work volume of each, construct work processing progress models for the urgent sub-work content and the accumulated sub-work content respectively;

[0024] When the staff-simulated particle enters the work processing block, drive the work processing progress model corresponding to the sub-work content to be executed, and determine the work processing progress of the staff-simulated particle based on the performance of the work processing progress model.

[0025] In some embodiments disclosed by the present invention, the method for determining the reference work completion volume of the staff-simulated particle includes:

[0026] A reference work volume conversion coefficient is set for each type of sub-work content;

[0027] Determine the type of sub-work content that the staff member simulates particles to perform, and determine the work volume of the sub-work content that the staff member simulates particles to perform;

[0028] Based on the sub-work content that the staff member simulates particles to perform, determine the applied reference work volume conversion coefficient, and calculate the product of the reference work volume conversion coefficient and the work volume of the sub-work content to obtain the reference work completion volume of the staff member simulating particles.

[0029] In some embodiments disclosed by the present invention, the method for determining the actual completion volume of the monitored staff member based on the actual work content information includes:

[0030] Based on the actual work content information, determine the actual sub-work content of the monitored staff member within the preset monitoring time period and the actual work volume of each actual sub-work content, and determine the actual work completion volume of the monitored staff member based on the sum of the actual work volumes corresponding to all actual sub-work contents.

[0031] In some embodiments disclosed by the present invention, the method for evaluating the work quality of the staff member corresponding to the monitored staff member account includes:

[0032] Obtain the actual behavior content information of the monitored patient account within the preset monitoring time period, and determine the actual behavior characteristics of the monitored patient based on the actual behavior content information;

[0033] Obtain the simulated behavior characteristics of the patient simulation particles in the work scene simulation diagram, compare the simulated behavior characteristics with the actual behavior characteristics, and determine the similarity parameters;

[0034] Construct a primary work quality evaluation operator based on the work completion volume difference, and correct the primary work quality evaluation operator based on the similarity parameters, and calculate to obtain the work quality evaluation of the staff member corresponding to the monitored staff member account.

[0035] In some embodiments disclosed by the present invention, the expression for calculating the work quality evaluation of the staff member corresponding to the monitored staff member account is:

[0036] ;

[0037] Among them, the corresponding value of the work quality evaluation, is the actual work completion volume of the monitored staff member account, and is the reference work completion volume of the monitored staff member account, K is the work quality evaluation conversion coefficient, is the The actual time node when the staff member corresponding to a monitored staff account arrives at the random work processing block is the simulated time node when the and simulated particles of the staff member arrive at the random work processing block, where in the random processing block, the time difference amount between the actual time node corresponding to the th monitored staff account and the simulated time node corresponding to the simulated particles of the th staff member is the disease emergency weight of the th monitored staff account,

[0038] In some embodiments disclosed in the present invention, a hospital comprehensive operation management system includes:

[0039] A first module for obtaining the registration information of patients and staff, configuring staff accounts based on the registration information of staff, and configuring patient accounts based on the registration information of patients;

[0040] A second module for determining the patient accounts and staff accounts that are active during a preset monitoring time period, denoted as monitored patient accounts and monitored staff accounts, determining the corresponding behavior content factors in the behavior information library based on the analysis of the registration information corresponding to the monitored patient accounts, and determining the corresponding work content factors in the work information library based on the analysis of the registration information corresponding to the monitored staff accounts;

[0041] A third module for constructing a work scenario simulation diagram, configuring patient simulation particles in the work scenario simulation diagram based on the monitored patient accounts and their associated behavior content factors, and configuring staff simulation particles in the work scenario simulation diagram based on the monitored staff accounts and their associated work content factors;

[0042] A fourth module for determining the work processing blocks of the staff simulation particles based on the work content factors corresponding to the monitored staff accounts, constructing a multi-directional work processing line between the work processing blocks, determining the work processing blocks targeted by the patient simulation particles based on the behavior content factors corresponding to the monitored patient accounts, and constructing a one-way work processing line between the work processing blocks;

[0043] The fifth module is used to drive the staff in the work scenario simulation diagram to simulate the movement of particles on the multi-directional work processing line, and drive the patients in the work scenario simulation diagram to simulate the movement of particles on the one-way work processing line. Based on the preset interaction rules of the simulated particles, determine the respective work processing progress of the staff simulated particles and the reference work completion volume of the staff simulated particles;

[0044] The sixth module is used to obtain the actual work content information of the monitored staff account, and based on the actual work content information, determine the actual work completion volume of the monitored staff. Based on the work completion volume difference between the reference work completion volume and the actual work completion volume, evaluate the work quality of the staff corresponding to the monitored staff account.

[0045] The present invention discloses a hospital comprehensive operation management method and system, which relates to the technical field of administrative comprehensive management. Specifically, it first obtains and configures the accounts of patients and staff, then screens the active accounts, and extracts the corresponding behavior and work content factors from the information library; then, constructs a work scenario simulation diagram, configures simulated particles to simulate the actual work scenario of the hospital, determines the work processing blocks and constructs the processing lines to simulate the internal work process of the hospital; by driving the movement of the simulated particles and applying the interaction rules, calculates the work processing progress and the reference work completion volume; by comparing the actual work completion volume with the reference volume, realizes the work quality evaluation of the staff's work quality. Through the above technical solutions, the present invention realizes the timely evaluation of the work quality of the staff, which helps to improve the hospital service quality and optimize the management efficiency.

[0046] The technical solutions of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0047] Figure 1 It is a method step diagram of a hospital comprehensive operation management method disclosed in the embodiments of the present invention. Detailed Embodiments

[0048] The technical solutions of the present invention will be further described below through the drawings and embodiments.

[0049] The technical solutions of the present invention will be clearly and completely described below in combination with the drawings and specific embodiments. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be understood as limiting the protection scope of the present invention. Those skilled in the art can make some non-essential improvements and adjustments according to the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in the present invention should be the common meanings understood by those skilled in the art of the present invention.

[0050] The object of the present invention is to provide a hospital comprehensive operation management method and system capable of timely evaluating the work quality of hospital staff.

[0051] Referring to Figure 1 , a hospital comprehensive operation management method includes:

[0052] Step S100, obtaining the registration information of patients and staff, configuring staff accounts based on the registration information of staff, and configuring patient accounts based on the registration information of patients.

[0053] The core of this step is to collect and sort out the basic registration information of hospital patients and staff, and then configure independent accounts for them respectively. This step is the basis for all subsequent operations, ensuring that each entity in the system has a recognizable and traceable digital identity.

[0054] For example, when patient Zhang San registers in the hospital and provides basic information such as name, age, and gender, the system generates a unique patient account for Zhang San based on this information. Similarly, when doctor Li Si joins the hospital and submits detailed information such as his professional qualifications and work experience, the system creates a staff account for Li Si based on this information.

[0055] Step S200, determining the patient accounts and staff accounts that are active during a preset monitoring time period, denoted as the monitored patient accounts and the monitored staff accounts, determining the corresponding behavior content factors in the behavior information library based on the analysis of the registration information corresponding to the monitored patient accounts, and determining the corresponding work content factors in the work information library based on the analysis of the registration information corresponding to the monitored staff accounts.

[0056] The purpose of this step is to screen out the patient and staff accounts that are active during a specific time period for more in-depth analysis. At the same time, the system will extract the corresponding behavior content factors and work content factors from the preset behavior information library and work information library according to the registration information of the accounts.

[0057] For example, assuming that we are concerned about the situation in the past week, the system will identify the patient accounts with medical records and the staff accounts with work records during this period. For patient accounts, the system may extract behavior content factors such as "registering", "seeing a doctor", "getting medicine", etc.; for staff accounts, it may extract work content factors such as "receiving patients", "prescribing medicine", "performing surgery", etc.

[0058] In some embodiments disclosed by the present invention, the method for determining the corresponding behavior content factors in the behavior information library includes:

[0059] Step S201: Determine the patient's preliminary diagnosis information, age, and gender, and use the preliminary diagnosis information, age, and gender as retrieval tags to find the corresponding behavior content factors in the behavior information database. The behavior content factors include the work processing blocks the patient goes to, the items to be processed for each work processing block, and the order of going to the work processing blocks.

[0060] This step aims to retrieve the corresponding behavior content factors from the behavior information database based on the patient's preliminary diagnosis information, age, and gender. The behavior content factors describe in detail the patient's behavior pattern in the hospital, including the work processing blocks he may go to, the items to be processed in each block, and the access order of these blocks.

[0061] For example, patient Zhang San, male, 45 years old, comes to the hospital due to "chest pain". The system first obtains Zhang San's preliminary diagnosis information (chest pain), age (45 years old), and gender (male), and then uses this information as retrieval tags to search in the behavior information database. The found behavior content factors may include: the work processing blocks Zhang San may go to are the "registration area", the "cardiovascular department consultation area", the "ECG examination area", etc.; the items to be processed in each block are "registration", "consultation", "ECG examination" respectively; the order of going to the work processing blocks is "registration area" → "cardiovascular department consultation area" → "ECG examination area".

[0062] The methods for determining the corresponding work content factors in the work information database include:

[0063] Step S202: Determine the work location and work content of the staff, and use the work location and work content as retrieval tags to find the corresponding work content factors in the work information database. The work content factors include the work processing blocks where the staff work, the sub-work contents under the work content, and the work volume corresponding to each sub-work content.

[0064] The purpose of this step is to retrieve the corresponding work content factors from the work information database based on the work location and work content of the staff. The work content factors describe in detail the work pattern of the staff, including the work processing blocks where they work, the sub-work contents under the work content, and the work volume corresponding to each sub-work content.

[0065] For example, Doctor Li Si works in the "Cardiovascular Department" and his job is to "receive and treat patients with cardiovascular diseases". The system uses this information as search tags to look up in the work information database. The found job content factors may include: the work processing blocks of Li Si are the "reception area", "diagnosis area", and "treatment area"; the sub-job contents under the job content of "receiving and treating patients with cardiovascular diseases" are "receiving patients", "conducting diagnoses", "formulating treatment plans", and "executing treatments"; the corresponding work volumes for each sub-job content are "receiving patients: 10 person-times per day", "conducting diagnoses: 8 person-times per day", "formulating treatment plans: 5 person-times per day", and "executing treatments: 6 person-times per day".

[0066] Step S300: Construct a work scenario simulation diagram. Based on the monitored patient account and its associated behavior content factors, configure patient simulation particles in the work scenario simulation diagram. Based on the monitored staff account and its associated work content factors, configure staff simulation particles in the work scenario simulation diagram.

[0067] Step S400: Based on the work content factors corresponding to the monitored staff account, determine the work processing blocks of the staff simulation particles and construct multi-directional work processing lines between these work processing blocks. Based on the behavior content factors corresponding to the monitored patient account, determine the work processing blocks targeted by the patient simulation particles and construct one-way work processing lines between these work processing blocks.

[0068] The purpose of this step is to demarcate the work processing blocks for the staff simulation particles in the simulation diagram and determine the multi-directional work processing lines between these blocks. At the same time, it will also determine the targeted work processing blocks for the patient simulation particles and construct one-way work processing lines.

[0069] For example, in the simulation diagram, the work processing blocks of Doctor Li Si may include the "reception area", "diagnosis area", "treatment area", etc. These blocks are connected by multi-directional work processing lines, indicating that the doctor can move flexibly between these blocks. The targeted work processing block for patient Zhang San may be the "treatment area", and he has a one-way work processing line pointing to this block, indicating that he can only go to the treatment area according to the medical treatment process.

[0070] Step S500: Drive the staff simulation particles in the work scenario simulation diagram to move on the multi-directional work processing lines, and drive the patient simulation particles in the work scenario simulation diagram to move on the one-way work processing lines. Based on the preset interaction rules of the simulation particles, determine the respective work processing progress of the staff simulation particles and the reference work completion volume of the staff simulation particles.

[0071] In some embodiments disclosed by the present invention, a method for determining the processing progress of patient simulation particles and staff simulation particles respectively based on preset interaction rules of simulation particles includes:

[0072] Step S501: Drive the patient simulation particles to move on a single-way work processing line. After reaching each work processing block as a target, trigger the docking instruction of the staff simulation particles to drive the staff simulation particles to go to the work processing block to dock with the patient simulation particles.

[0073] Step S502: If the staff simulation particles and the patient simulation particles are in the same work processing block, trigger the sub-work content interaction instruction of the work simulation particles and the patient simulation particles.

[0074] Step S503: When the sub-work content interaction instruction is triggered, determine the sub-work content that needs to be interacted in the sub-work content processing sequence corresponding to the patient simulation particles, incorporate the determined sub-work content into the sub-work content processing sequence corresponding to the staff simulation particles, classify and divide different sub-work contents based on the types of sub-work contents incorporated into the sub-work content processing sequence, and determine the urgent sub-work content that needs to be processed immediately and the accumulative sub-work content that needs to be accumulated to a fixed volume or processed within a preset time period.

[0075] Step S504: If the staff simulation particles receive a docking instruction when processing the urgent sub-work content or the accumulative sub-work content in the work processing block, record the urgent sub-work content or the accumulative sub-work content in the work processing block and mark the work processing block as to-be-processed.

[0076] Step S505: If the work processing block is marked as to-be-processed, send work processing commands to the staff simulation particles in sequence according to the corresponding staff simulation particle sequence. If there is a staff simulation particle in an idle state, drive the corresponding staff simulation particle to go to the corresponding work processing block for processing.

[0077] In some embodiments disclosed by the present invention, a method for determining the work processing progress of the staff simulation particles respectively includes:

[0078] Step S506: Determine the preset work volume of the urgent sub-work content and the accumulative sub-work content respectively, and based on the preset work volume of each, construct work processing progress models for the urgent sub-work content and the accumulative sub-work content respectively.

[0079] Step S507: When the staff member simulates the particle entering the work processing block, drive the work processing progress model corresponding to the sub-work content to be executed, and determine the work processing progress of the staff member's simulated particle based on the performance of the work processing progress model.

[0080] In some embodiments disclosed by the present invention, the method for determining the reference work completion volume of the staff member's simulated particle includes:

[0081] Step S508: For each type of sub-work content, a reference work volume conversion coefficient is set.

[0082] Step S509: Determine the type of sub-work content executed by the staff member's simulated particle, and determine the work volume of the sub-work content executed by the staff member's simulated particle.

[0083] Step S5010: Based on the sub-work content executed by the staff member's simulated particle, determine the applied reference work volume conversion coefficient, and calculate the product of the reference work volume conversion coefficient and the work volume of the sub-work content to obtain the reference work completion volume of the staff member's simulated particle.

[0084] Step S600: Obtain the actual work content information of the monitored staff member's account, and based on the actual work content information, determine the actual work completion volume of the monitored staff member. Based on the work completion volume difference between the reference work completion volume and the actual work completion volume, conduct a work quality assessment on the staff member corresponding to the monitored staff member's account.

[0085] In some embodiments disclosed by the present invention, the method for determining the actual completion volume of the monitored staff member based on the actual work content information includes:

[0086] Step S601: Based on the actual work content information, determine the actual sub-work content of the monitored staff member within the preset monitoring time period and the actual work volume of each actual sub-work content, and based on the sum of the actual work volumes corresponding to all actual sub-work contents, determine the actual work completion volume of the monitored staff member.

[0087] In some embodiments disclosed by the present invention, the method for conducting a work quality assessment on the staff member corresponding to the monitored staff member's account includes:

[0088] Step S602: Obtain the actual behavior content information of the monitored patient's account within the preset monitoring time period, and based on the actual behavior content information, determine the actual behavior characteristics of the monitored patient;

[0089] Step S603: Obtain the simulated behavior characteristics of the patient simulation particles in the work scenario simulation diagram, compare the simulated behavior characteristics with the actual behavior characteristics, and determine the similar parameters.

[0090] Step S604: Construct a primary work quality evaluation operator based on the difference in the amount of work completed, and correct the primary work quality evaluation operator based on the phase parameters, and calculate the work quality evaluation of the staff corresponding to the monitored staff account.

[0091] In some embodiments disclosed by the present invention, the expression for calculating the work quality evaluation of the staff corresponding to the monitored staff account is:

[0092] 。

[0093] Among them, the corresponding value of the work quality evaluation, is the actual amount of work completed by the monitored staff account, is the reference amount of work completed by the monitored staff account, K is the work quality evaluation conversion coefficient, is the actual time node when the staff corresponding to the th monitored staff account arrives at the random work processing block, is the simulated time node when the th staff simulation particle arrives at the random work processing block. Among them, the random work processing blocks corresponding to and are the same. is the time difference between the actual time node corresponding to the th monitored staff account and the simulated time node corresponding to the th staff simulation particle in the random processing block. is the total amount of the monitored staff accounts or staff simulation particles, is the disease emergency weight of the

[0094] In some embodiments disclosed by the present invention, a hospital comprehensive operation management system includes:

[0095] The first module is used to obtain the registration information of patients and staff, configure staff accounts based on the registration information of staff, and configure patient accounts based on the registration information of patients.

[0096] The second module is used to determine the patient accounts and staff accounts that are active within a preset monitoring time period, denoted as the monitored patient accounts and the monitored staff accounts. Based on the analysis of the registration information corresponding to the monitored patient accounts, the corresponding behavior content factors are determined in the behavior information database. Based on the analysis of the registration information corresponding to the monitored staff accounts, the corresponding work content factors are determined in the work information database.

[0097] The third module is used to construct a work scenario simulation diagram. Based on the monitored patient accounts and their associated behavior content factors, patient simulation particles are configured in the work scenario simulation diagram. Based on the monitored staff accounts and their associated work content factors, staff simulation particles are configured in the work scenario simulation diagram.

[0098] The fourth module is used to determine the work processing blocks of the staff simulation particles based on the work content factors corresponding to the monitored staff accounts, and construct multi-directional work processing lines between the work processing blocks. Based on the behavior content factors corresponding to the monitored patient accounts, determine the work processing blocks of the patient simulation particle targets, and construct one-way work processing lines between the work processing blocks.

[0099] The fifth module is used to drive the staff simulation particles in the work scenario simulation diagram to move on the multi-directional work processing lines, and drive the patient simulation particles in the work scenario simulation diagram to move on the one-way work processing lines, and based on the preset interaction rules of the simulation particles, determine the respective work processing progress of the staff simulation particles and the reference work completion volume of the staff simulation particles.

[0100] The sixth module is used to obtain the actual work content information of the monitored staff accounts, and based on the actual work content information, determine the actual work completion volume of the monitored staff. Based on the work completion volume difference between the reference work completion volume and the actual work completion volume, evaluate the work quality of the staff corresponding to the monitored staff accounts.

[0101] The present invention discloses a hospital comprehensive operation management method and system, which relates to the technical field of administrative comprehensive management. Specifically, it first obtains and configures the accounts of patients and staff, then screens the active accounts, and extracts the corresponding behavior and work content factors from the information database; then, constructs a work scenario simulation diagram, configures simulation particles to simulate the actual hospital work scenario, determines the work processing blocks and constructs the processing lines to simulate the internal work process of the hospital; by driving the movement of the simulation particles and applying interaction rules, calculates the work processing progress and references the work completion volume; by comparing the actual work completion volume with the reference volume, realizes the work quality assessment of the staff. Through the above technical solutions, the present invention realizes the timely work quality assessment of the staff, which helps to improve the hospital service quality and optimize the management efficiency.

[0102] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by hardware or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various implementation scenarios of the present invention.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical solutions of the present invention, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A comprehensive hospital operation management method, characterized in that: include: Get the registration information of patients and staff, configure the staff account based on the staff registration information, and configure the patient account based on the patient registration information; The patient accounts and staff accounts active within the preset monitoring time period are determined and recorded as monitored patient accounts and monitored staff accounts. Based on the analysis of the registration information corresponding to the monitored patient accounts, the corresponding behavior content factors are determined in the behavior information database. Based on the analysis of the registration information corresponding to the monitored staff accounts, the corresponding work content factors are determined in the work information database. Construct a work scene simulation diagram, configure patient simulation particles in the work scene simulation diagram based on the monitored patient account and its associated behavioral content factors, and configure staff simulation particles in the work scene simulation diagram based on the monitored staff account and its associated work content factors; Based on the work content factors corresponding to the monitored staff account, the work processing blocks of the staff simulation particles are determined, and multi-directional work processing lines are constructed between the work processing blocks; based on the behavior content factors corresponding to the monitored patient account, the work processing blocks of the patient simulation particle targets are determined, and unidirectional work processing lines are constructed between the work processing blocks; Driving the staff simulation particles in the work scene simulation diagram to move on a multi-directional work processing line, and driving the patient simulation particles in the work scene simulation diagram to move on a unidirectional work processing line, and determining the work processing progress of each staff simulation particle and the reference work completion volume of the staff simulation particles based on the preset interaction rules of the simulation particles; The actual work content information of the monitored staff account is obtained, and based on the actual work content information, the actual work completion volume of the monitored staff is determined; based on the work completion volume difference between the reference work completion volume and the actual work completion volume, the work quality of the staff corresponding to the monitored staff account is evaluated.

2. A comprehensive hospital operation management method according to claim 1, characterized in that: The method of determining the corresponding behavior content factor in the behavior information database includes: Determine the patient's preliminary diagnosis information, age and gender, and use the preliminary diagnosis information, age and gender as search tags to find the corresponding behavior content factors in the behavior information database. The behavior content factors include the work processing block that the patient goes to, the items to be processed for each work processing block, and the order of going to the work processing blocks; The method of determining the corresponding work content factor in the work information database includes: Determine the staff's work location and work content, and use the work location and work content as search tags to find the corresponding work content factor in the work information database. The work content factor includes the work processing block of the staff's work, the sub-work content under the work content, and the work volume corresponding to each sub-work content.

3. A comprehensive hospital operation management method according to claim 1, characterized in that: The method for determining the respective processing progress of the patient simulated particles and the staff simulated particles based on the preset interaction rules of the simulated particles includes: Driving the patient simulation particles to move on a single work processing line, and after reaching each work processing block as a target, triggering the docking instruction of the staff simulation particles, driving the staff simulation particles to go to the work processing block to dock with the patient simulation particles; If the staff simulation particle and the patient simulation particle are in the same work processing block, the sub-work content interaction instruction of the staff simulation particle and the patient simulation particle is triggered; When the sub-work content interaction instruction is triggered, the sub-work content that needs to be interacted in the sub-work content processing sequence corresponding to the patient simulation particles is determined, and the determined sub-work content is incorporated into the sub-work content processing sequence corresponding to the staff simulation particles. Based on the type of sub-work content incorporated into the sub-work content processing sequence, different sub-work contents are classified and divided to determine the emergency sub-work content that needs to be processed at the moment and the accumulation sub-work content that needs to be accumulated to a fixed volume or needs to be processed within a preset time period; If the staff simulates particles in the work processing block to process the emergency sub-work content or the accumulation sub-work content, after receiving the docking instruction, the emergency sub-work content or the accumulation sub-work content will be recorded in the work processing block, and the work processing block will be marked as pending; If the work processing block is marked as pending, the work processing command is sent to the staff simulation particles in sequence according to the corresponding staff simulation particle sequence. If there is a staff simulation particle in an idle state, the corresponding staff simulation particle is sent to the corresponding work processing block for processing.

4. A comprehensive hospital operation management method according to claim 3, characterized in that: Methods for determining the processing progress of each worker's simulated particle include: Determine the preset work volume of the emergency sub-work content and the accumulation sub-work content, and build work processing schedule models for the emergency sub-work content and the accumulation sub-work content respectively based on the preset work volume; When the worker simulation particle enters the work processing block, it drives the work processing progress model corresponding to the sub-work content to be executed, and determines the work processing progress of the worker simulation particle based on the performance of the work processing progress model.

5. A comprehensive hospital operation management method according to claim 3, characterized in that: Methods for determining the reference work completion volume of worker simulation particles include: A reference work volume conversion coefficient is set for each type of work content; Determine the type of sub-work content that the staff member simulates particles to perform, and determine the work volume of the sub-work content that the staff member simulates particles to perform; Based on the sub-work content performed by the staff simulation particles, the reference work volume conversion coefficient of the application is determined, and the product of the reference work volume conversion coefficient and the work volume of the sub-work content is calculated to obtain the reference work completion volume of the staff simulation particles.

6. A comprehensive hospital operation management method according to claim 1, characterized in that: Based on the actual work content information, the methods for determining the actual completion volume of the monitored staff include: Based on the actual work content information, the actual sub-work content and the actual work volume of each actual sub-work content of the monitored staff within the preset monitoring time period are determined, and based on the sum of the actual work volumes corresponding to all actual sub-work contents, the actual work completion volume of the monitored staff is determined.

7. A comprehensive hospital operation management method according to claim 1, characterized in that: Methods for evaluating the work quality of the staff corresponding to the monitored staff account include: Obtaining actual behavior content information of the monitored patient account within a preset monitoring time period, and determining actual behavior characteristics of the monitored patient based on the actual behavior content information; Acquire simulated behavior characteristics of patient simulated particles in the work scene simulation diagram, compare the simulated behavior characteristics with actual behavior characteristics, and determine similar parameters; A primary work quality evaluation operator is constructed based on the difference in the amount of work completed, and based on the coherent quantity, the primary work quality evaluation operator is corrected to calculate the work quality evaluation of the staff member corresponding to the monitored staff member account.

8. A comprehensive hospital operation management method according to claim 7, characterized in that: The expression for calculating the work quality evaluation of the staff member corresponding to the monitored staff member account is: ； Among them, the corresponding value of work quality evaluation is, The actual work volume completed by the monitored staff account. is the reference work completion volume of the monitored staff account, K is the work quality evaluation conversion coefficient, is the actual time node when the worker corresponding to the i-th monitored worker account arrives at the random work processing block, The simulated time node for the i-th worker to simulate the particle arriving at the random work processing block, where, and The corresponding random work processing blocks are the same. is the time difference between the actual time node corresponding to the ith monitored worker account and the simulated time node corresponding to the ith worker simulated particle in the random processing block, n is the total number of monitored worker accounts or worker simulated particles, is the emergency weight of the condition of the i-th monitored staff member account, and b is the correction adjustment constant.

9. A comprehensive hospital operation management system, characterized in that: include: The first module is used to obtain the registration information of patients and staff, configure the staff account based on the registration information of the staff, and configure the patient account based on the registration information of the patient; The second module is used to determine the patient accounts and staff accounts active within the preset monitoring time period, recorded as monitored patient accounts and monitored staff accounts, and based on the analysis of the registration information corresponding to the monitored patient accounts, determine the corresponding behavior content factors in the behavior information database, and based on the analysis of the registration information corresponding to the monitored staff accounts, determine the corresponding work content factors in the work information database; The third module is used to construct a work scene simulation diagram, configure patient simulation particles in the work scene simulation diagram based on the monitored patient account and its associated behavioral content factors, and configure staff simulation particles in the work scene simulation diagram based on the monitored staff account and its associated work content factors; The fourth module is used to determine the work processing blocks of the staff simulation particles based on the work content factors corresponding to the monitored staff accounts, and to build multi-directional work processing lines between the work processing blocks; based on the behavior content factors corresponding to the monitored patient accounts, determine the work processing blocks of the patient simulation particle targets, and to build unidirectional work processing lines between the work processing blocks; The fifth module is used to drive the staff simulation particles in the work scene simulation diagram to move on the multi-directional work processing line, and drive the patient simulation particles in the work scene simulation diagram to move on the unidirectional work processing line, and determine the work processing progress of each staff simulation particle and the reference work completion volume of the staff simulation particles based on the preset interaction rules of the simulation particles; The sixth module is used to obtain the actual work content information of the monitored staff account, and based on the actual work content information, determine the actual work completion volume of the monitored staff, and based on the work completion volume difference between the reference work completion volume and the actual work completion volume, conduct work quality assessment on the staff corresponding to the monitored staff account.

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