Hospital resource scheduling and allocation method, equipment, device and storage medium

Abstract

The invention discloses a hospital resource scheduling and allocation method, equipment and device and a storage medium, belongs to the technical field of information analysis, and solves the problem that existing hospital resources cannot be reasonably scheduled and allocated. A hospital resource scheduling and distributing method comprises the following steps: S1, extracting medical resource information of any hospital in a region; s2, performing statistics on medical resources of the hospital according to the medical resource information, and obtaining a statistical result; and S3, scheduling and allocating the medical resources according to the statistical result. According to the hospital resource scheduling and distributing method, hospital bed resources, disposable medical instruments, repeated medical instruments and medical staff of a hospital can be distributed and dispatched, resource scheduling and distributing of the hospital are further improved, the operation process of hospital departments is optimized, and the utilization efficiency of medical resources is improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of information analysis, and particularly relates to a hospital resource scheduling and distribution method, device, apparatus and storage medium. BACKGROUND

[0002] In the current development of the medical industry, the scale of hospitals is expanding, the number of departments is increasing, and management is facing many challenges. In terms of medical resource management, bed resources are affected by many factors. Traditional methods relying on experience and manual scheduling are difficult to master the utilization rate and distribution in real time and comprehensively, and are prone to bed shortages or idle waste. The use of disposable medical devices is not effectively analyzed in relation to the number of patients, and there are problems of inventory accumulation and waste or insufficient replenishment. The number of uses and the loss of repetitive medical devices are difficult to accurately track, and the timing of replacement cannot be accurately determined. In terms of medical staff management, the work intensity is affected by many factors, and hospitals lack scientific and quantitative means to measure differences and allocate tasks, which can lead to uneven work intensity and affect service quality and staff retention.

[0003] Traditional hospital information analysis methods rely on manual methods, and even if there are information systems, there are limitations in depth mining and comprehensive analysis, which are difficult to meet the needs of fine management and cannot well schedule and distribute hospital resources. SUMMARY

[0004] The purpose of the present application is to provide a hospital resource scheduling and distribution method, device, apparatus and storage medium, which solves the problem of unreasonable scheduling and distribution of existing hospital resources.

[0005] In order to achieve the above purpose, the technical scheme of the present application is as follows:

[0006] A hospital resource scheduling and distribution method, comprising the following steps:

[0007] Step S1, extracting medical resource information of any hospital in the region;

[0008] Step S2, statistically analyzing the medical resources of the hospital according to the medical resource information, and obtaining a statistical result;

[0009] Step S3, scheduling and distributing the medical resources according to the statistical result.

[0010] In some embodiments, the medical resource information is bed information, medical device information, work duration information of medical staff, and information related to patient visits and surgeries of medical staff.

[0011] In some embodiments, the specific method for statistically analyzing the medical resources of the hospital according to the medical resource information in step S2 is:

[0012] Step S21, extracting the bed usage rate in the department from the bed information, extracting the instrument usage rate from the medical instrument information, and extracting the work time information of the medical staff and the medical staff's reception and surgery related information to obtain the work time index, labor amount index and skill proficiency index of the medical staff;

[0013] Step S22, counting the bed usage rate, the instrument usage rate, the work time index, the labor amount index and the skill proficiency index of the medical staff.

[0014] In some embodiments, the specific method for extracting the bed usage rate in the department from the bed information is:

[0015] By collecting the number of used beds and the total number of beds in each department of the hospital at different time periods, and calculating the bed usage rate of each department at each time period;

[0016] The average bed usage rate of the whole hospital is obtained by calculating the usage rate of each department at each specified time period Wherein, V j1，j2 represents the bed usage rate of the j1th department at the j2th specified time period, j1∈(1, 2, ……m1), m1 represents the number of all departments in the hospital, j2∈(1, 2, ……m2), m2 represents the number of all time periods;

[0017] The average value of the bed usage rate of each department at all specified time periods is calculated

[0018] The average value of the bed usage rate of each department at all specified time periods is calculated j1 Combined with the average bed usage rate U BC of the whole hospital, the difference is calculated, and then the absolute value of the difference is compared with the corresponding preset bed utilization rate threshold UV y , according to the comparison result, it is determined whether there is a phenomenon of idle beds in each department.

[0019] In some embodiments, |VP j1 -U BC |>UV y , and the value obtained by VP j1 -U BC is negative, indicating that the corresponding department has the phenomenon of idle department beds;

[0020] If |VP j1 -U BC |>UV y , and the value obtained by VP j1 -U BC is positive, indicating that the corresponding department has the phenomenon of department bed shortage.

[0021] |VP j1 -U BC |UV y , which means that there is no phenomenon of department bed tension or idleness in the corresponding department.

[0022] In some embodiments, the medical instrument information is extracted to obtain the specific method of instrument utilization rate:

[0023] The used instrument quantity, total instrument quantity and the number of patients admitted in each department in each time period are collected, and the number of patients admitted in each department in each time period is marked as NL j1，j2 ;

[0024] The instrument utilization rate of each department in each time period for various disposable medical instruments is calculated and marked as QL j1，j2，j3 ; j3∈(1, 2, ……m3), m3 represents the number of all disposable medical instruments;

[0025] The correlation degree of the quantity of the j3th disposable medical instrument in each department and the corresponding number of patients admitted is calculated

[0026] The correlation degree GLD j1，j3 of the quantity of the j3th disposable medical instrument in each department and the corresponding number of patients admitted is compared with the corresponding preset correlation degree threshold GLD y , and according to the comparison result, it is determined whether there is a waste or insufficient use of disposable medical instruments in the corresponding department.

[0027] In some embodiments, the GLD y < GLD j1，j3 ≤1, which means that there is no waste or insufficient use of disposable medical instruments in the corresponding department;

[0028] If GLD j1，j3 < GLD y , which means that there is a waste of disposable medical instruments in the corresponding department;

[0029] If GLD j1，j3 >1, which means that there is an insufficient use of disposable medical instruments in the corresponding department.

[0030] In some embodiments, the medical instrument information is extracted to obtain the instrument utilization rate, which also includes the utilization rate of repetitive medical instruments, and the specific method of repetitive medical instrument utilization evaluation is:

[0031] Collect the used times of various repetitive medical instruments in each department at each time node and the maximum use times of the repetitive medical instruments;

[0032] Calculate the instrument use rate of each department for various repetitive medical instruments at each time period and mark it as XL j1，j2，j4 ; j4∈(1, 2, …, m4), m4 represents the number of types of all repetitive medical instruments;

[0033] Calculate the remaining useable times ratio KCB j1，j2，j4 of a certain repetitive medical instrument in each department at the corresponding time period j1，j2，j4 , where XL j1，j2，j4 represents the maximum use times of the certain repetitive medical instrument in the department;

[0034] Calculate the average remaining useable times ratio KCP of the certain repetitive medical instrument in all departments at all time periods and set a preset useable times threshold value KC y ; compare KCB j1，j2，j4 , KCP j4 and KC y to determine whether the corresponding repetitive medical instrument in the department needs to be replaced.

[0035] In some embodiments, KCB j1，j2，j4 <KC y , which means that the corresponding repetitive medical instrument in the department needs to be replaced, otherwise it does not need to be replaced;

[0036] Compare the average remaining useable times ratio KCP j4 with the corresponding preset useable times threshold value KC y ; if KCP j4 <KCy, it means that the corresponding repetitive medical instrument in all departments needs to be collectively replaced, otherwise it does not need to be replaced.

[0037] In some embodiments, the specific method of extracting the work time information of the medical staff and the medical staff's diagnosis and surgery related information to obtain the work hour index, labor amount index and skill proficiency index of the medical staff is as follows:

[0038] Collect the work time of all hospital medical staff and calculate the work hour index of the medical staff , where S GS is the work time of the medical staff, and S BZ is the standard work time of the medical staff in a specified period;

[0039] The labor amount index of the medical staff in the specified period is calculated according to the number of patients treated by the medical staff in the specified period, the quantitative value of the patient's illness severity, the number of operations participated by the medical staff and the quantitative value of the operation complexity Wherein, G FH is the labor amount index of the medical staff, L JH，i1 is the quantitative value of the illness severity of the i1th patient, i1 ∈ (1, 2, …, N JH ), N JH is the number of patients treated by the medical staff in the specified period, L CS，i2 is the quantitative value of the operation complexity of the i2th operation, i2 ∈ (1, 2, …, N CS ), N CS is the number of operations participated by the medical staff in the specified period, and α1, α2, α3 and α4 are preset weight coefficients;

[0040] The skill proficiency index J of the medical staff is determined according to the patient diagnosis accuracy and the operation success rate SL = Z JH × α5 + Z CS × α6, wherein J SL is the skill proficiency index of the medical staff, Z JH is the patient diagnosis accuracy of the medical staff, Z CS is the operation success rate of the medical staff, and α5 and α6 are preset weight coefficients.

[0041] In some embodiments, the equipment in the hospital is dispatched and distributed according to whether there is idle bed in each department, whether there is waste or insufficient use of disposable medical instruments in the corresponding department, and whether the corresponding repetitive medical instruments in the department need to be replaced, and the medical staff in the hospital is distributed and scheduled according to the working hour index, the labor amount index and the skill proficiency index of the medical staff.

[0042] Another technical solution of the application is implemented as follows:

[0043] A hospital resource scheduling and distribution device comprises:

[0044] A data extraction module extracts medical resource information of any hospital in a region;

[0045] A data statistical analysis module statistically analyzes the medical resources of the hospital according to the medical resource information and obtains a statistical result;

[0046] A scheduling and distribution module schedules and distributes the medical resources according to the statistical result.

[0047] Another technical solution of the application is implemented as follows:

[0048] The hospital resource scheduling and allocation device comprises a memory, a processor, and a hospital resource scheduling and allocation control program stored on the memory and executable on the processor, and the hospital resource scheduling and allocation control program is configured to implement the hospital resource scheduling and allocation method.

[0049] Another technical solution of the present application is implemented as follows:

[0050] A computer readable storage medium storing a computer program, which can implement the steps in the hospital resource scheduling and allocation method when executed by a processor.

[0051] Compared with the prior art, the hospital resource scheduling and allocation method of the present application can allocate and schedule the hospital bed resources, disposable medical instruments, repetitive medical instruments, and medical staff, further improves the resource scheduling and allocation of the hospital, optimizes the operation process of the hospital department, improves the utilization efficiency of the medical resources, ensures that the medical staff can work in a better state, ultimately helps to improve the quality of medical services provided by the hospital for patients, enhances the competitiveness of the hospital in the medical market, and promotes the sustainable development of the hospital. BRIEF DESCRIPTION OF DRAWINGS

[0052] Figure 1 The hospital resource scheduling and allocation device of the hardware running environment related to the embodiment of the present application is shown in the structural schematic diagram.

[0053] Figure 2 The flowchart of the second embodiment of the hospital resource scheduling and allocation method of the present application is shown.

[0054] Figure 3 The structural block diagram of the second embodiment of the hospital resource scheduling and allocation device of the present application is shown. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0056] REFERENCE Figure 1 , Figure 1 The hospital resource scheduling and allocation device of the hardware running environment related to the embodiment of the present application is shown in the structural schematic diagram.

[0057] As Figure 1As shown, the hospital resource scheduling and distribution device can include a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to realize the connection and communication between the components. The user interface 1003 can include a display, an input unit such as a keyboard, and can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a wireless fidelity (Wi-Fi) interface). The memory 1005 can be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk memory. The memory 1005 can also be a storage device independent of the aforementioned processor 1001.

[0058] Those skilled in the art can understand that Figure 1 The structure shown in the figure does not constitute a limitation on the hospital resource scheduling and distribution device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0059] As Figure 1 As shown, the memory 1005 as a storage medium can include an operating system, a network communication module, a user interface module, and a control program of the hospital resource scheduling and distribution.

[0060] In Figure 1 As shown in the hospital resource scheduling and distribution device, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the hospital resource scheduling and distribution device can be arranged in the hospital resource scheduling and distribution device, and the hospital resource scheduling and distribution device calls the control program of the hospital resource scheduling and distribution stored in the memory 1005 through the processor 1001, and executes the hospital resource scheduling and distribution method provided by the embodiment of the application.

[0061] The hospital resource scheduling and distribution method provided by the embodiment of the application, as shown in Figure 2 includes the following steps:

[0062] Step S1, extracting medical resource information of any hospital in the region;

[0063] Step S2, statistically analyzing the medical resources of the hospital according to the medical resource information, and obtaining a statistical result;

[0064] Step S3, scheduling and allocating the medical resources according to the statistical result.

[0065] It should be noted that, in the specific implementation, the medical resource information is bed information, medical instrument information, working time information of medical staff, and information related to reception and surgery of medical staff.

[0066] It should be noted that, in the specific implementation, the specific method for counting the medical resource information in step S2 is:

[0067] Step S21, extracting the bed information to obtain the bed usage rate in the department, extracting the medical instrument information to obtain the instrument usage rate, and extracting the working time information of medical staff and the information related to reception and surgery of medical staff to obtain the working hour index, labor amount index, and skill proficiency index of medical staff;

[0068] Step S22, counting the bed usage rate, the instrument usage rate, the working hour index, the labor amount index, and the skill proficiency index of medical staff.

[0069] It should be noted that, in the specific implementation, the specific method for extracting the bed information to obtain the bed usage rate in the department is:

[0070] By collecting the number of used beds and the total number of beds of each department of the hospital at different time periods, the bed usage rate of each department at each time period is calculated;

[0071] The usage rate of each department at each specified time period is calculated to obtain the average bed usage rate of the entire hospital Wherein, V j1，j2 represents the bed usage rate of the j1th department at the j2th specified time period, j1∈(1, 2, ……m1), m1 represents the number of all departments in the hospital, j2∈(1, 2, ……m2), m2 represents the number of all time periods;

[0072] The average value of the bed usage rate of each department at all specified time periods is calculated

[0073] The average value of the bed usage rate of each department at all specified time periods is calculated j1 Combined with the average bed usage rate U BC of the entire hospital, the difference is calculated, and the absolute value of the difference is compared with the corresponding preset bed utilization rate threshold UV y , according to the comparison result, it is determined whether there is a phenomenon of idle beds in each department.

[0074] It should be noted that in the specific implementation, the |VP j1 -U BC |>UV y , and VP j1 -U BC The obtained value is negative, indicating that the corresponding department exists the phenomenon of idle department beds;

[0075] If |VP j1 -U BC |>UV y , and VP j1 -U BC The obtained value is positive, indicating that the corresponding department exists the phenomenon of department bed shortage;

[0076] If |VP j1 -U BC |≤UV y , indicating that the corresponding department does not exist the phenomenon of department bed shortage or idleness.

[0077] It should be noted that in the specific implementation, the specific method for extracting the instrument utilization rate from the medical instrument information is:

[0078] Collect the used instrument quantity, total instrument quantity and patient quantity of various disposable medical instruments corresponding to each department in each time period, and mark the patient quantity of each department in each time period as NL j1，j2 ;

[0079] Calculate the instrument utilization rate of each department for various disposable medical instruments in each time period, and mark it as QL j1，j2，j3 ; j3∈(1, 2, ……m3), m3 represents the number of all disposable medical instrument categories;

[0080] Calculate the correlation degree of a certain disposable medical instrument in each department and its corresponding patient quantity;

[0081] Compare the correlation degree GLD j1，j3 of the j3th disposable medical instrument usage in each department and its corresponding patient quantity with the corresponding preset correlation degree threshold GLD y , and according to the comparison result, determine whether there is a disposable medical instrument waste or insufficient use in the corresponding department.

[0082] It should be noted that in the specific implementation, if GLD y <GLD j1，j3 ≤1, indicating that there is no disposable medical instrument waste or insufficient use in the corresponding department;

[0083] If GLD j1，j3 ≤GLD y This indicates that there is a waste of disposable medical devices in the corresponding department;

[0084] If GLD j1，j3 A value greater than 1 indicates that the corresponding department has insufficient use of disposable medical devices.

[0085] It should be noted that, in the specific implementation, the medical device information extracted to obtain the device utilization rate also includes the utilization rate of reusable medical devices. The specific method for evaluating the utilization of reusable medical devices is as follows:

[0086] Collect the number of times each reusable medical device in each department has been used at each time point and the maximum number of times each reusable medical device has been used;

[0087] Calculate the usage rate of various repetitive medical devices in each department at different time periods, and label it as XL. j1，j2，j4 j4∈(1, 2, ..., m4), where m4 represents the total number of types of repetitive medical devices;

[0088] Calculate the remaining usable count (KCB) of a certain reusable medical device in each department within a corresponding time period. j1，j2，j4 =(1-XL) j1，j2，j4 ), of which XL j1，j2，j4 This represents the maximum number of times a certain reusable medical device can be used in a specific department.

[0089] Calculate the average remaining usable count percentage for a certain reusable medical device in all departments over all time periods. And set a preset threshold for the number of times it can be used, KC. y via KCB j1，j2，j4 KCP j4 With KC y Compare and determine whether the corresponding repetitive medical devices in the department need to be replaced.

[0090] It should be noted that, in the specific implementation, the KCB... j1，j2，j4 <KC y If the condition is met, it means that the corresponding repetitive medical device in the relevant department needs to be replaced; otherwise, it does not need to be replaced.

[0091] The average remaining usable count ratio KCP j4 With the corresponding preset threshold number of uses KC y Comparison, if KCP j4 <KCy indicates that all corresponding repetitive medical devices in all departments need to be replaced collectively; otherwise, replacement is not required.

[0092] It should be noted that, in the specific implementation, the method for extracting the working hours information and the patient reception and surgery information of the medical staff to obtain the working hour indicators, workload indicators, and skill proficiency indicators of the medical staff is as follows:

[0093] Collect the working hours of all medical staff in the hospital and calculate their working hour indicators. Among them, S GS For the working hours of medical staff, S BZ Standard working hours for medical staff within a specified period;

[0094] Based on the number of patients treated by medical staff within a specified period, as well as the quantitative values ​​of the severity of patients' conditions, the number of surgeries performed, and the quantitative values ​​of the complexity of the surgeries, the corresponding workload index of medical staff within the specified period is calculated. Among them, G FH L is an indicator of the workload of medical staff. JH，i1 This is the quantified value of the severity of the illness of the i1th patient, where i1∈(1, 2, ..., N). JH ), N JH L is the number of patients that medical staff will treat within a specified period. CS，i2 Let i2 be the quantified value of the complexity of the i2th operation, where i2∈(1, 2, ..., N). CS ), N CS The number of surgeries performed by medical staff within a specified period, α1, α2, α3, and α4 are the corresponding preset weighting coefficients;

[0095] Skill proficiency indicators (J) are determined based on the accuracy of patient diagnosis and the success rate of surgical procedures performed by medical staff. SL =Z JH ×α5+Z CS ×α6, where J SL Z is a skill proficiency indicator for medical staff. JH To improve the accuracy of patient diagnosis for healthcare workers, Z CS α5 and α6 are the preset weighting coefficients for the success rate of surgeries performed by medical staff.

[0096] It should be noted that, in the specific implementation, the hospital equipment is scheduled and allocated based on whether there are idle beds in each department, whether there is waste or underuse of disposable medical devices in the corresponding department, and whether the corresponding reusable medical devices in the department need to be replaced. The hospital staff are assigned and scheduled based on the working hours, workload, and skill proficiency indicators of the medical staff.

[0097] The hospital resource scheduling and distribution method of the present application can accurately allocate bed resources. By comprehensively collecting and deeply analyzing the bed usage of each department at different time periods, the average bed usage rate of the whole hospital and the average value of the bed usage rate of each department are calculated, and compared with the preset threshold value, which can accurately judge whether the department bed allocation is reasonable, whether there is a bed shortage or idle phenomenon. This helps the hospital management to reasonably allocate bed resources according to the actual situation, improve the utilization rate of beds, avoid waste of resources or affect patient admission due to bed shortage, for example, when it is found that the bed usage rate of a department is much lower than the average of the whole hospital and the difference exceeds the threshold value, and the idle condition is presented, the bed of the department can be appropriately adjusted to the department with more demanding needs.

[0098] The hospital resource scheduling and distribution method of the present application can also schedule and distribute disposable medical instruments: collect data such as the usage amount of disposable medical instruments and the number of patients admitted by each department at different time periods, analyze the correlation and compare it with the preset threshold value, so that the matching degree of the usage amount of disposable medical instruments and the number of patients admitted by each department can be clearly known, so that unreasonable situations such as waste and insufficient use can be found in time, and the process of applying for and using disposable medical instruments can be standardized, reducing costs while ensuring normal medical services, such as avoiding unnecessary waste caused by the usage amount of disposable medical instruments in a department far exceeding the reasonable range matched by the number of patients admitted.

[0099] The hospital resource scheduling and distribution method of the present application can also schedule and distribute repetitive medical instruments: by acquiring and analyzing information such as the number of times each time node of the repetitive medical instruments used by each department and the maximum number of times, it can not only determine whether the corresponding instruments of each department need to be replaced, but also determine whether they need to be replaced collectively by calculating the average remaining number of times the instrument can be used by all departments. This helps the hospital to plan the procurement, maintenance and replacement of medical instruments in advance, ensures the safe and orderly progress of medical work, avoids problems such as affecting the accuracy of diagnosis and treatment due to excessive wear and tear of instruments without timely replacement, and can timely find those repetitive medical instruments that need to be replaced urgently as they approach or exceed the threshold of the number of times they can be used.

[0100] Improve the efficiency of hospital operation and service quality: through the reasonable allocation of medical resources and the scientific management of medical staff, the operation process of the hospital department can be optimized as a whole, the utilization efficiency of medical resources can be improved, and the medical staff can work in a better state, which ultimately helps to improve the quality of medical services provided by the hospital to patients, enhances the competitiveness of the hospital in the medical market, and promotes the sustainable development of the hospital.

[0101] First embodiment

[0102] The collected data is the bed usage data of the trauma orthopedics department, the sports medicine department and the spine surgery department, as shown in Table 1.

[0103] Table 1: Bed usage data of each department

[0104] Department / period April (used / total beds) May (used / total beds) June (used / total beds) Total number of beds Trauma orthopedics 1194 / 1380 1220 / 1380 1365 / 1380 1380 Sports medicine department 917 / 960 961 / 960 939 / 960 960 Spinal surgery 1402 / 1740 1315 / 1740 1423 / 1740 1740

[0105] Calculate the average bed usage rate of the entire hospital U BC , get U BC = 89.47%.

[0106] Calculate the average usage rate of each department period Trauma Orthopedics is 91.28%, Sports Medicine is 97.81%, and Spinal Surgery is 79.31%. Compare to determine bed idle / tight, preset threshold UV y = 5%;

[0107] Trauma Orthopedics: | 91.28% - 89.47% | = 1.81% < 5%, no bed tight or idle;

[0108] Sports Medicine: | 97.81% - 89.47% | = 8.34% > 5%, and 97.81% - 89.47% = 8.34% > 0, bed tight;

[0109] Spinal Surgery: | 79.31% - 89.47% | = 10.16% > 5%, and 79.31% - 89.47% = -10.16% < 0, bed idle.

[0110] Combine bed resources to support Sports Medicine Department with idle period beds in Spinal Surgery.

[0111] Disposable medical devices such as three-way stopcocks are used to connect multiple pathways simultaneously, and can connect infusion bottles, syringes, and patient intravenous access, enabling rapid switching of different liquids and drugs. The data collected for Trauma Orthopedics, Sports Medicine, and Spinal Surgery are the usage data of medical three-way stopcocks, as shown in Table 2.

[0112] Table 2: Three-way stopcock usage data of each department

[0113] Department / period April (used / total / consulted) May (used / total / consulted) June (used / total / consulted) Trauma orthopedics 3176 / 4621 / 158 3149 / 4195 / 150 3176 / 4728 / 160 Sports medicine department 3062 / 4080 / 209 3120 / 3509 / 208 2678 / 2862 / 229 Spinal surgery 2578 / 2691 / 122 2536 / 2885 / 107 3823 / 4099 / 98

[0114] GLD 创伤骨科，三通旋塞 = 70.2%, GLD 运动医学科，三通旋塞 = 86.1%, GLD 脊柱外科，三通旋塞 = 92.5%

[0115] Preset correlation threshold GLD y = 80%,

[0116] Trauma Orthopedics: 70.2% < 80%, determine that there is waste of use;

[0117] Orthopedics: 86.1% > 80%, judged as no waste / no underuse;

[0118] Spine surgery: 92.5% > 80%, judged as no waste / no underuse.

[0119] Limit the single order quantity of trauma orthopedics, establish a "three-way cock use registration book", and record the use compulsorily, train the skills of nurses, and reduce overuse.

[0120] The data collected are the data of repetitive medical devices such as radiological equipment in trauma orthopedics, sports medicine department, and spine surgery, as shown in Table 3.

[0121] Table 3 Radiological equipment data of each department

[0122] Department / period April (used / max) May (used / max) June (used / max) Trauma orthopedics 383 / 37670 341 / 37003 324 / 39104 Sports medicine department 350 / 37670 344 / 37003 310 / 39104 Spinal surgery 365 / 37670 346 / 37003 349 / 39104

[0123] The proportion of the remaining available times of repetitive medical devices is calculated, and it is obtained that the trauma orthopedics in April is 98.98%, the trauma orthopedics in May is 99.08%, the trauma orthopedics in June is 99.17%; the sports medicine department in April is 99.07%, the sports medicine department in May is 99.07%, the sports medicine department in June is 99.21%; the spine surgery in April is 99.03%, the spine surgery in May is 99.06%, the spine surgery in June is 99.11%; the average proportion of the remaining available times of radiological equipment in all time periods KCP j4 = 99.09%, the preset available times threshold KC y = 80%, if a department < 80%, it needs to be replaced, KCP j4 > 80%, indicating that there is no need for collective replacement.

[0124] The working hours of a doctor in a month S GS = 220h, the hospital standard length (all working days in a month) S BZ = 184h, T GS = 119.6%.

[0125] The number of patients treated by a doctor N JH = 50, the severity of the disease is simplified and assigned, the quantified value of the severity of the disease is divided into 0-1, and 1 is the most serious; N CS = 20, the complexity of the surgery is simplified and assigned, the quantified value of the complexity of the surgery is divided into 0-1, and 1 is the most complex; the preset weight α1 = 0.6, α2 = 0.4, and the labor index G FH = 23.6.

[0126] The diagnostic accuracy rate of a doctor Z JH = 95%, the success rate of surgery Z CS= 98%, preset weight α5 = 0.5, α6 = 0.5, J SL = 96.5%.

[0127] The work hour index, the labor amount index and the skill index of a certain doctor can show that the doctor has high skill and is in a high load state.

[0128] A certain doctor is overloaded by 119.6% of work hours, and the regular outpatient service of the doctor is reduced from 3 times / week to 2 times / week, and 1 low-seniority doctor is added to follow the doctor to learn to use the high skill (96.5%) of the doctor and participate in the teaching of complex surgeries in the whole hospital (such as high-difficulty joint replacement in orthopedics), so as to improve the overall surgery level. A certain internal medicine doctor is skilled (assuming 95%) and has a relatively relaxed work hour of 90%, and assists surgery 1 time / week for emergency night shift, so as to balance the manpower load.

[0129] Reference Figure 3 , Figure 3 is a structural block diagram of a second embodiment of the hospital resource scheduling and distribution device.

[0130] As shown in Figure 3 , the hospital resource scheduling and distribution device provided by the embodiment of the present application comprises:

[0131] a data extraction module configured to extract medical resource information of any hospital in a region;

[0132] a data statistical analysis module configured to statistically analyze the medical resources of the hospitals according to the medical resource information and obtain statistical results;

[0133] a scheduling and distribution module configured to schedule and distribute the medical resources according to the statistical results.

[0134] The above-mentioned serial numbers of the embodiments are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0135] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and a general hardware platform, of course, they can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, an optical disk), and includes a plurality of instructions for making a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) execute the methods described in the embodiments of the present application.

[0136] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any changes or replacements within the technical scope disclosed by the present application, which can be easily thought by those skilled in the art, should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for scheduling and allocating hospital resources, characterized in that, Includes the following steps: Step S1: Extract medical resource information from any hospital within the region; Step S2: Analyze the hospital's medical resources based on the medical resource information and obtain the statistical results; Step S3: Allocate and schedule the medical resources based on the statistical results.

2. The hospital resource scheduling and allocation method according to claim 1, characterized in that, The medical resource information includes bed information, medical device information, working hours information of medical staff, and information related to the reception and surgery of medical staff.

3. The hospital resource scheduling and allocation method according to claim 2, characterized in that, In step S2, the specific method for statistically analyzing the hospital's medical resources based on the medical resource information is as follows: Step S21: Extract the bed information to obtain the bed occupancy rate in the department, extract the medical device information to obtain the device utilization rate, and extract the working hours information of the medical staff and the information related to the medical staff's reception and surgery to obtain the working hours index, workload index and skill proficiency index of the medical staff. Step S22: Statistically analyze the bed occupancy rate, the equipment occupancy rate, the working hours, workload, and skill proficiency of the medical staff.

4. The hospital resource scheduling and allocation method according to claim 3, characterized in that, The specific method for extracting the bed information to obtain the bed occupancy rate within the department is as follows: By collecting data on the number of beds in use and the total number of beds in each department of the hospital at different time periods, the bed occupancy rate of each department at each time period was calculated. The average occupancy rate of hospital beds was obtained by calculating the utilization rate of each department and each specified time period. Among them, V j1，j2 Let j1 represent the bed occupancy rate of the j1-th department during the specified time period j2, where j1∈(1, 2, ..., m1), m1 represents the number of all departments in the hospital, and j2∈(1, 2, ..., m2), m2 represents the number of all time periods. Calculate the average bed occupancy rate for each department over all specified time periods. The average bed occupancy rate (VP) of each department over all specified time periods. j1 Combined with the hospital's average bed occupancy rate U BC Calculate the difference, then compare the absolute value of the difference with the corresponding preset bed utilization threshold (UV). y By making comparisons, and based on the comparison results, it can be determined whether there are any vacant beds in each department.

5. The hospital resource scheduling and allocation method according to claim 4, characterized in that, The |VP j1 -U BC |>UV y And VP j1 -U BC If the value obtained is negative, it indicates that there are vacant beds in the corresponding department; If |VP j1 -U BC |>UV y And VP j1 -U BC If the value obtained is positive, it indicates that there is a shortage of beds in the corresponding department; If |VP j1 -U BC |≤UV y This indicates that there is no shortage or vacancy of beds in the corresponding department.

6. The hospital resource scheduling and allocation method according to claim 5, characterized in that, The specific method for extracting the medical device information to obtain the device utilization rate is as follows: Collect data on the number of used disposable medical devices, the total number of devices, and the number of patients treated in each department at different time periods. The number of patients treated in each department at each time period is labeled as NL. j1，j2 ; Calculate the utilization rate of various disposable medical devices in each department at different time periods, and label it as QL. j1，j2，j3 j3∈(1, 2, ..., m3), where m3 represents the total number of types of disposable medical devices; Calculate the correlation between a certain disposable medical device in each department and the number of patients treated there. The correlation between the usage of the j3rd type of disposable medical device in each department and the number of patients treated accordingly (GLD) j1，j3 Corresponding to the preset correlation threshold GLD y By making comparisons, and based on the comparison results, it can be determined whether there is any waste or underuse of disposable medical devices in the relevant departments.

7. The hospital resource scheduling and allocation method according to claim 6, characterized in that, The GLD y <GLD j1，j3 A value of ≤1 indicates that there is no waste or underutilization of disposable medical devices in the corresponding department; If GLD j1，j3 ≤GLD y This indicates that there is a waste of disposable medical devices in the corresponding department; If GLD j1，j3 A value greater than 1 indicates that the corresponding department has insufficient use of disposable medical devices.

8. The hospital resource scheduling and allocation method according to claim 7, characterized in that, The extracted medical device information to obtain the device utilization rate also includes the utilization rate of reusable medical devices. The specific method for evaluating the utilization of reusable medical devices is as follows: Collect the number of times each reusable medical device in each department has been used at each time point and the maximum number of times each reusable medical device has been used; Calculate the usage rate of various repetitive medical devices in each department at different time periods, and label it as XL. j1，j2，j4 j4∈(1, 2, ..., m4), where m4 represents the total number of types of repetitive medical devices; Calculate the remaining usable count (KCB) of a certain reusable medical device in each department within a corresponding time period. j1，j2，j4 =(1-XL) j1，j2，j4 ), of which XL j1，j2，j4 This represents the maximum number of times a certain reusable medical device can be used in a specific department. Calculate the average remaining usable count percentage for a certain reusable medical device in all departments over all time periods. And set a preset threshold for the number of times it can be used, KC. y via KCB j1，j2，j4 KCP j4 With KC y Compare and determine whether the corresponding repetitive medical devices in the department need to be replaced.

9. The hospital resource scheduling and allocation method according to claim 8, characterized in that, The KCB j1，j2，j4 <KC y If the condition is met, it means that the corresponding repetitive medical device in the relevant department needs to be replaced; otherwise, it does not need to be replaced. The average remaining number of uses KCP j4 With the corresponding preset threshold number of uses KC y Comparison, if KCP j4 <KCy indicates that all corresponding repetitive medical devices in all departments need to be replaced collectively; otherwise, replacement is not required.

10. The hospital resource scheduling and allocation method according to claim 9, characterized in that, The specific method for extracting the working hours information and the patient reception and surgery information of the medical staff to obtain the working hour indicators, workload indicators and skill proficiency indicators of the medical staff is as follows: Collect the working hours of all medical staff in the hospital and calculate their working hour indicators. Among them, S GS For the working hours of medical staff, S BZ Standard working hours for medical staff within a specified period; Based on the number of patients treated by medical staff within a specified period, as well as the quantitative values ​​of the severity of patients' conditions, the number of surgeries performed, and the quantitative values ​​of the complexity of the surgeries, the corresponding workload index of medical staff within the specified period is calculated. Among them, G FH L is an indicator of the workload of medical staff. JH，i1 This is the quantified value of the severity of the illness of the i1th patient, where i1∈(1, 2, ..., N). JH ), N JH L is the number of patients that medical staff will treat within a specified period. CS，i2 Let i2 be the quantified value of the complexity of the i2th operation, where i2∈(1, 2, ..., N). CS ), N CS The number of surgeries performed by medical staff within a specified period, α1, α2, α3, and α4 are the corresponding preset weighting coefficients; Skill proficiency indicators (J) are determined based on the accuracy of patient diagnosis and the success rate of surgical procedures performed by medical staff. SL =Z JH ×α5+Z CS ×α6, where J SL Z is a skill proficiency indicator for medical staff. JH To improve the accuracy of patient diagnoses for healthcare professionals, Z CS α5 and α6 are the preset weighting coefficients for the success rate of surgeries performed by medical staff.

11. The hospital resource scheduling and allocation method according to claim 10, characterized in that, The hospital's equipment is allocated and scheduled based on whether there are vacant beds in each department, whether there is waste or underuse of disposable medical devices in the corresponding departments, and whether the corresponding reusable medical devices in the departments need to be replaced. The hospital staff are assigned and scheduled based on the working hours, workload, and skill proficiency indicators of the medical staff.

12. A hospital resource scheduling and allocation device, executing the hospital resource scheduling and allocation method according to any one of claims 1-11, characterized in that, include: Data extraction module: Extracts medical resource information from any hospital within the region; Data statistics and analysis module: Based on the medical resource information, this module performs statistics on the hospital's medical resources and obtains the statistical results. Scheduling and allocation module: Scheduling and allocating the medical resources based on the statistical results.

13. A hospital resource scheduling and allocation device, characterized in that, The method includes a memory, a processor, and a control program for hospital resource scheduling and allocation stored in the memory and executable on the processor, the control program being configured to implement the hospital resource scheduling and allocation method according to any one of claims 1-11.

14. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it can implement the steps in the hospital resource scheduling and allocation method according to any one of claims 1-11.

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