Medical staff management method, device, equipment, medium and product

Abstract

The invention relates to a medical staff management method, device and equipment, a medium and a product, and belongs to the technical field of staff management, the method comprises the following steps: in response to a task configuration instruction of a first object to a first medical staff, obtaining first work information and a first medical post level of the first medical staff; wherein the task configuration instruction comprises a plurality of tasks; when the actual working intensity reflected by the first working information exceeds the expected working intensity associated with the first medical care post level, setting a fatigue coefficient of the first medical care personnel according to a difference value between the actual working intensity and the expected working intensity; screening a first task in the plurality of tasks according to the fatigue coefficient and the expected working intensity; and sending the first task to the first object.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the technical field of personnel management, and more specifically, to a medical personnel management method, device, equipment, medium and product. Background Art

[0002] With the rapid development of the medical industry, the management of medical staff is particularly important. At present, the existing medical staff management platform usually schedules medical staff according to their medical post level and the working hours required for the medical post level. However, since medical staff may substitute for other medical staff or encounter emergencies, the above scheduling will cause fatigue to medical staff. Summary of the invention

[0003] One purpose of the embodiments of the present disclosure is to provide a new technical solution for medical staff management.

[0004] According to a first aspect of the present disclosure, a map updating method based on a mobile device is provided, the method comprising:

[0005] In response to the first object's instruction on task configuration for the first medical staff, obtaining the first work information and the first medical post level of the first medical staff; wherein the task configuration instruction includes a plurality of tasks;

[0006] When the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical staff level, setting the fatigue coefficient of the first medical staff according to the difference between the actual work intensity and the expected work intensity;

[0007] Selecting a first task from among the plurality of tasks according to the fatigue coefficient and the expected work intensity;

[0008] The first task is sent to the first object.

[0009] Optionally, the first work information includes the workload of each set type; before setting the fatigue coefficient of the first medical staff according to the difference between the actual work intensity and the expected work intensity, the method further includes:

[0010] Determine the work intensity coefficient corresponding to each setting type according to the preset mapping relationship and the workload of each setting type; wherein the mapping relationship reflects that different setting types correspond to different work intensity coefficients;

[0011] The work intensity coefficient and the corresponding workload corresponding to each setting type are input into the preset intensity model to obtain the actual work intensity.

[0012] Optionally, the first work information further includes the nighttime proportion corresponding to each setting type; the work intensity coefficient corresponding to each setting type and the corresponding workload are input into a preset intensity model to obtain the actual work intensity, including:

[0013] When the nighttime proportion corresponding to the first setting type exceeds the set threshold, the set value is added to the work intensity coefficient corresponding to the first setting type to obtain the added work intensity coefficient.

[0014] Optionally, setting the fatigue coefficient of the first medical staff according to the difference between the actual work intensity and the expected work intensity includes:

[0015] When the difference between the actual work intensity and the expected work intensity is greater than or equal to a first set intensity, setting the fatigue coefficient of the first medical staff to a first fatigue value;

[0016] When the difference between the actual work intensity and the expected work intensity is less than the first set intensity and greater than the second set intensity, setting the fatigue coefficient of the first medical staff to a second fatigue value;

[0017] When the difference between the actual work intensity and the expected work intensity is less than the second set intensity, setting the fatigue coefficient of the first medical staff to a third fatigue value;

[0018] The first fatigue value is greater than the second fatigue value, and the second fatigue value is greater than the third fatigue value.

[0019] Optionally, the first medical staff has a first identity;

[0020] Among them, when the first identity is an intern, the first set intensity and the second set intensity corresponding to the first medical staff are both negative values; when the first identity is a formal employee, the first set intensity and the second set intensity corresponding to the first medical staff are positive values; when the first identity is a senior employee, the first set intensity corresponding to the first medical staff is a positive value, and the second set intensity corresponding to the first medical staff is a negative value.

[0021] Optionally, the multiple tasks include treatment tasks, nursing tasks and accompanying tasks, and before screening the first task among the multiple tasks according to the fatigue coefficient and the expected work intensity, the method further includes:

[0022] Obtaining the treatment difficulty and treatment duration of the treatment task, and determining a first task intensity value of the treatment task;

[0023] Obtaining a treatment duration of the nursing task, and determining a second task intensity value of the nursing task;

[0024] Obtaining the accompanying difficulty, accompanying duration and nursing proportion of the accompanying task, and determining the third task intensity value of the accompanying task;

[0025] The step of selecting a first task from among the plurality of tasks according to the fatigue coefficient and the expected work intensity includes:

[0026] Determining an upper limit of the work of the first medical staff according to the fatigue coefficient and the expected work intensity;

[0027] Filter out one or more of the first task intensity value, the second task intensity value and the third task intensity value that meet the set conditions; wherein the set conditions include being less than or equal to the working upper limit value and having the maximum value.

[0028] According to a second aspect of the present disclosure, a medical staff management device is also provided, the device comprising:

[0029] A response module, configured to obtain first work information and a first medical post level of the first medical staff in response to a task configuration instruction from the first object to the first medical staff; wherein the task configuration instruction includes a plurality of tasks;

[0030] A setting module, configured to set a fatigue coefficient of the first medical staff according to a difference between the actual work intensity and the expected work intensity when the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical staff level;

[0031] A screening module, configured to screen a first task among the plurality of tasks according to the fatigue coefficient and the expected work intensity;

[0032] A sending module sends the first task to the first object.

[0033] According to a third aspect of the present disclosure, an electronic device is also provided, including a processor, wherein the processor is connected to a memory, and the memory is used to store a computer program; the processor is used to execute the computer program to implement the method described in the first aspect of the present disclosure.

[0034] According to a fourth aspect of the present disclosure, a mobile device is further provided, comprising the mobile device as described in the second aspect or the electronic device as described in the third aspect.

[0035] According to a fifth aspect of the present disclosure, a computer storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the method according to the first aspect of the present disclosure is implemented.

[0036] According to a sixth aspect of the present disclosure, a computer program product is further provided, comprising a computer program, wherein when the computer program is executed by a processor, the method according to the first aspect of the present disclosure is implemented.

[0037] A beneficial effect of the embodiments of the present disclosure is that the medical staff management method provided by the present invention can respond to the task configuration indication of the first object, obtain the first work information and the first medical post level of the first medical staff, and when the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical post level, set the fatigue coefficient of the first medical staff to reduce the workload of the first medical staff task, effectively reduce the occurrence of medical staff fatigue, and thereby improve the rationality of the medical staff tasks.

[0038] Other features and advantages of the embodiments of the present disclosure will become apparent from the following detailed description of exemplary embodiments of the present disclosure with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the embodiments of the present disclosure.

[0040] Figure 1 is a flowchart of a medical staff management method according to an embodiment;

[0041] Figure 2 is a schematic diagram of the hardware structure of a medical staff management device according to an embodiment;

[0042] Figure 3 is a block schematic diagram of an electronic device according to an embodiment. DETAILED DESCRIPTION

[0043] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless otherwise specifically stated.

[0044] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0045] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0046] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0047] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0048] <Method Example>

[0049] Figure 1 The figure is a flowchart of a medical staff management method according to an embodiment. The implementation subject is, for example, an intelligent terminal, such as a personal computer or a server.

[0050] like Figure 1 As shown, the medical staff management method of this embodiment may include the following steps S110 to S140:

[0051] Step S110, in response to the first object's instruction on task configuration for the first medical staff, obtaining the first work information and the first medical post level of the first medical staff; wherein the task configuration instruction includes a plurality of tasks.

[0052] In the present application, the first object may be the first medical staff, or the manager of the medical staff, etc.

[0053] In the present application, the first object can communicate and interact with the smart terminal through the user terminal, so as to send a task configuration instruction to the smart terminal to achieve subsequent determination of the task of the first medical staff in the next cycle.

[0054] Step S120, when the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical staff level, the fatigue coefficient of the first medical staff is set according to the difference between the actual work intensity and the expected work intensity.

[0055] In some embodiments, the first work information includes the workload of each set type. Before step S120, the method further includes the following steps S210 and S220:

[0056] Step S210, determining the work intensity coefficient corresponding to each setting type according to the preset mapping relationship and the workload of each setting type; wherein the mapping relationship reflects that different setting types correspond to different work intensity coefficients.

[0057] In the present application, the setting types are, for example, treatment, nursing, and accompanying. The mapping relationship can reflect that the work intensity coefficient of the treatment type is 1.2, the work intensity coefficient of the nursing type is 0.8, and the work intensity coefficient of the accompanying type is 1.

[0058] Step S220, inputting the work intensity coefficient and the corresponding workload corresponding to each setting type into a preset intensity model to obtain the actual work intensity.

[0059] In this application, the intensity model includes the treatment intensity model, the nursing intensity model and the accompanying intensity model.

[0060] In this application, for the treatment intensity model, the treatment intensity model is: the actual work intensity of the treatment class = the work intensity coefficient of the treatment class × the working time × the treatment difficulty. For example, the intravenous injection task of medical staff A lasts for 6 hours, then the treatment difficulty is 1.5, the workload of medical staff A is 9, and the actual work intensity of medical staff A = 1.2 × 9 = 10.8. The treatment difficulty of each treatment task can be preset.

[0061] In this application, for the nursing intensity model, the nursing intensity model is: the actual work intensity of the nursing class = the work intensity coefficient of the nursing class × the working hours. For example, the nursing of medical staff B lasts for 8 hours, then the workload of medical staff A is 8, and the actual work intensity of medical staff B = 0.8×8=6.4.

[0062] In this application, for the accompanying intensity model, the accompanying intensity model is: the actual work intensity of the accompanying class = the work intensity coefficient of the accompanying class × the accompanying time × the accompanying difficulty × the nursing ratio, where the nursing ratio = 1 + (nursing time / total time). For example, the ICU accompanying task of medical staff C lasts for 6 hours, of which the nursing time is 2 hours, then the nursing ratio is 4 / 3, the treatment difficulty is 1.5, the workload of medical staff A is 4 / 3×1.5×6=11.97, and the actual work intensity of medical staff A = 11.97×1=11.97.

[0063] In some embodiments, the first working information also includes the nighttime proportion corresponding to each setting type. The step S220 may include the following steps S2201:

[0064] Step S2201, when the nighttime proportion corresponding to the first setting type exceeds the set threshold, the set value is added to the work intensity coefficient corresponding to the first setting type, and the added work intensity coefficient is obtained.

[0065] In the present application, the threshold is set to, for example, 0.4, 0.5 or 0.7, etc., which is not limited here.

[0066] In the present application, the set value is, for example, 0.4, 0.5 or 0.6, etc., which is not limited here.

[0067] In the present application, the first setting type can be any one or more of the three types of treatment, nursing and accompanying. Taking the first setting type as treatment as an example, the added work intensity coefficient = work intensity coefficient + setting value.

[0068] In other words, by setting the nighttime proportion, the work intensity coefficient can be reset, and the fatigue of medical staff can be judged more accurately.

[0069] Step S130: screening a first task among the multiple tasks according to the fatigue coefficient and the expected work intensity.

[0070] In some embodiments, step S130 may include the following steps S310 to S330:

[0071] Step S310, when the difference between the actual work intensity and the expected work intensity is greater than or equal to the first set intensity, setting the fatigue coefficient of the first medical staff to a first fatigue value.

[0072] Step S320: When the difference between the actual work intensity and the expected work intensity is less than the first set intensity and greater than the second set intensity, the fatigue coefficient of the first medical staff is set to the second fatigue value.

[0073] Step S330: When the difference between the actual work intensity and the expected work intensity is less than the second set intensity, the fatigue coefficient of the first medical staff is set to a third fatigue value.

[0074] The first fatigue value is greater than the second fatigue value, and the second fatigue value is greater than the third fatigue value.

[0075] In the present application, the first set strength and the second set strength can be set manually and are not limited here.

[0076] In some examples, the first setting intensity is -1 and the second setting intensity is -5, the first fatigue value is set to 1.5, the second fatigue value is set to 1, and the third fatigue value is set to 0.8.

[0077] In other words, by determining whether the medical staff's work is saturated based on the difference between the actual work intensity and the expected work intensity, the management of the medical staff's work can be more intelligent.

[0078] In some embodiments, the first medical staff has a first identity; when the first identity is an intern, the first set intensity and the second set intensity corresponding to the first medical staff are both negative values; when the first identity is a formal employee, the first set intensity and the second set intensity corresponding to the first medical staff are positive values; when the first identity is a senior employee, the first set intensity corresponding to the first medical staff is a positive value, and the second set intensity corresponding to the first medical staff is a negative value.

[0079] In the present application, each medical staff is configured with an identity identifier, that is, the first medical staff is also configured with an identity identifier.

[0080] In other words, by setting the first setting strength and the second setting strength of the intern employee's identity to negative values, the intern can be required to meet lower standards; by setting the first setting strength and the second setting strength of the formal employee's identity to positive values, the formal employee can be required to meet higher standards; by setting the first setting strength of the senior employee's identity to a positive value and the second setting strength to a negative value, the senior employee can be required to meet more moderate standards, thereby effectively improving the rationality of the management of medical staff.

[0081] In some embodiments, the plurality of tasks include treatment tasks, nursing tasks, and accompanying tasks.

[0082] Before step S130, the method further includes the following steps S410 to S430:

[0083] Step S410, obtaining the treatment difficulty and treatment duration of the treatment task, and determining the first task intensity value of the treatment task.

[0084] In the present application, the first task intensity value = 1.2 × treatment duration × treatment difficulty.

[0085] Step S420, obtaining the treatment duration of the nursing task and determining the second task intensity value of the nursing task.

[0086] In the present application, the second task intensity value = 0.8 × treatment duration.

[0087] Step S430, obtaining the accompanying difficulty, accompanying duration and nursing proportion of the accompanying task, and determining the third task intensity value of the accompanying task.

[0088] In this application, the third task intensity value = 1×accompanying time×accompanying difficulty×nursing ratio.

[0089] Based on this, step S130 may include the following steps S510 and S520:

[0090] Step S510, determining the upper limit of the work of the first medical staff according to the fatigue coefficient and the expected work intensity.

[0091] In the present application, the working upper limit value = fatigue coefficient × expected working intensity.

[0092] Step S520, screening out one or more of the first task intensity value, the second task intensity value and the third task intensity value that meet the set conditions; wherein the set conditions include being less than or equal to the working upper limit value and having the maximum value.

[0093] In this application, the treatment tasks, nursing tasks and accompanying tasks screened out by the system can correspond to different time periods.

[0094] In this application, the work upper limit value is 12, the first task intensity value of task A is 5, the second task intensity value of task B is 6, and the third task intensity value of task C is 8. Then, the tasks selected from the multiple tasks are task A + task B.

[0095] In other words, by screening one or more tasks that are less than or equal to the work upper limit and have the largest value, the accuracy of personnel allocation can be effectively improved, thereby improving the work efficiency of medical staff.

[0096] Step S140: sending a first task to a first object.

[0097] In the present application, the first object may receive the first task sent by the smart terminal.

[0098] <Equipment Example 1>

[0099] Figure 2 FIG. 1 is a block diagram of a medical staff management device according to an embodiment. Figure 2 As shown, the medical staff management device 200 may include:

[0100] A response module 210 is used to obtain first work information and a first medical post level of the first medical staff in response to the task configuration instruction of the first object to the first medical staff; wherein the task configuration instruction includes a plurality of tasks;

[0101] A setting module 220, configured to set a fatigue coefficient of the first medical staff according to a difference between the actual work intensity and the expected work intensity when the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical staff level;

[0102] A screening module 230, configured to screen a first task from among the plurality of tasks according to a fatigue coefficient and an expected work intensity;

[0103] The sending module 240 sends the first task to the first object.

[0104] Optionally, the medical staff management device 200 also includes an obtaining module, which is used to determine the work intensity coefficient corresponding to each setting type based on a preset mapping relationship and the workload of each setting type; wherein the mapping relationship reflects that different setting types correspond to different work intensity coefficients; the work intensity coefficient corresponding to each setting type and the corresponding workload are input into a preset intensity model to obtain the actual work intensity.

[0105] Optionally, the obtaining module is also used to add a set value to the work intensity coefficient corresponding to the first setting type when the nighttime proportion corresponding to the first setting type exceeds a set threshold, and obtain the added work intensity coefficient.

[0106] Optionally, the setting module 220 is also used to set the fatigue coefficient of the first medical staff to a first fatigue value when the difference between the actual work intensity and the expected work intensity is greater than or equal to the first set intensity; to set the fatigue coefficient of the first medical staff to a second fatigue value when the difference between the actual work intensity and the expected work intensity is less than the first set intensity and greater than the second set intensity; to set the fatigue coefficient of the first medical staff to a third fatigue value when the difference between the actual work intensity and the expected work intensity is less than the second set intensity; wherein the first fatigue value is greater than the second fatigue value, and the second fatigue value is greater than the third fatigue value.

[0107] Optionally, the medical staff management device 200 also includes an acquisition module for acquiring the treatment difficulty and treatment duration of the treatment task to determine the first task intensity value of the treatment task; acquiring the treatment duration of the nursing task to determine the second task intensity value of the nursing task; acquiring the accompanying difficulty, accompanying duration and nursing ratio of the accompanying task to determine the third task intensity value of the accompanying task.

[0108] The screening module 230 is also used to determine the upper limit of the work of the first medical staff according to the fatigue coefficient and the expected work intensity; and screen out one or more of the first task intensity value, the second task intensity value and the third task intensity value that meet the set conditions; wherein the set conditions include being less than or equal to the upper limit of the work and having the maximum value.

[0109] The medical staff management device 200 may be a smart terminal.

[0110] <Equipment Example 2>

[0111] Figure 3 is a schematic diagram of the hardware structure of an electronic device according to an embodiment.

[0112] like Figure 3 As shown, the electronic device 300 includes a processor 310 and a memory 320, wherein the memory 320 is used to store an executable computer program, and the processor 310 is used to execute a method such as any of the above method embodiments under the control of the computer program.

[0113] The electronic device 300 may be a smart terminal.

[0114] Each module of the above medical staff management device 200 can be implemented by the processor 310 in this embodiment executing a computer program stored in the memory 320, or can be implemented by other structures, which is not limited here.

[0115] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0116] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0117] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0118] The computer program instructions for performing the operation of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be personalized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present invention.

[0119] Various aspects of the present invention are described herein with reference to the flow charts and / or block diagrams of the methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each box of the flow chart and / or block diagram and the combination of each box in the flow chart and / or block diagram can be implemented by computer-readable program instructions.

[0120] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0121] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0122] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a part of a module, a program segment or an instruction, and a part of the module, a program segment or an instruction contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that it is equivalent to implement it by hardware, implement it by software, and implement it by combining software and hardware.

[0123] Embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the marketplace, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present invention is defined by the appended claims.

Claims

1. A medical staff management method, characterized in that: The method comprises: In response to the first object's instruction on task configuration for the first medical staff, obtaining the first work information and the first medical post level of the first medical staff; wherein the task configuration instruction includes a plurality of tasks; When the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical staff level, setting the fatigue coefficient of the first medical staff according to the difference between the actual work intensity and the expected work intensity; Selecting a first task from among the plurality of tasks according to the fatigue coefficient and the expected work intensity; The first task is sent to the first object.

2. The method according to claim 1, characterized in that The first work information includes the workload of each set type; before setting the fatigue coefficient of the first medical staff according to the difference between the actual work intensity and the expected work intensity, the method further includes: Determine the work intensity coefficient corresponding to each setting type according to the preset mapping relationship and the workload of each setting type; wherein the mapping relationship reflects that different setting types correspond to different work intensity coefficients; The work intensity coefficient and the corresponding workload corresponding to each setting type are input into the preset intensity model to obtain the actual work intensity.

3. The method according to claim 2, characterized in that The first work information also includes the nighttime proportion corresponding to each setting type; the work intensity coefficient corresponding to each setting type and the corresponding workload are input into a preset intensity model to obtain the actual work intensity, including: When the nighttime proportion corresponding to the first setting type exceeds the set threshold, the set value is added to the work intensity coefficient corresponding to the first setting type to obtain the added work intensity coefficient.

4. The method according to claim 1, characterized in that The step of setting the fatigue coefficient of the first medical staff according to the difference between the actual work intensity and the expected work intensity includes: When the difference between the actual work intensity and the expected work intensity is greater than or equal to a first set intensity, setting the fatigue coefficient of the first medical staff to a first fatigue value; When the difference between the actual work intensity and the expected work intensity is less than the first set intensity and greater than the second set intensity, setting the fatigue coefficient of the first medical staff to a second fatigue value; When the difference between the actual work intensity and the expected work intensity is less than the second set intensity, setting the fatigue coefficient of the first medical staff to a third fatigue value; The first fatigue value is greater than the second fatigue value, and the second fatigue value is greater than the third fatigue value.

5. The method according to claim 4, characterized in that The first medical staff has a first identity; Among them, when the first identity is an intern, the first set intensity and the second set intensity corresponding to the first medical staff are both negative values; when the first identity is a formal employee, the first set intensity and the second set intensity corresponding to the first medical staff are positive values; when the first identity is a senior employee, the first set intensity corresponding to the first medical staff is a positive value, and the second set intensity corresponding to the first medical staff is a negative value.

6. The method according to claim 1, characterized in that The multiple tasks include treatment tasks, nursing tasks, and accompanying tasks. Before screening the first task among the multiple tasks according to the fatigue coefficient and the expected work intensity, the method further includes: Obtaining the treatment difficulty and treatment duration of the treatment task, and determining a first task intensity value of the treatment task; Obtaining a treatment duration of the nursing task, and determining a second task intensity value of the nursing task; Obtaining the accompanying difficulty, accompanying duration and nursing proportion of the accompanying task, and determining the third task intensity value of the accompanying task; The step of selecting a first task from among the plurality of tasks according to the fatigue coefficient and the expected work intensity includes: Determining an upper limit of the work of the first medical staff according to the fatigue coefficient and the expected work intensity; Filter out one or more of the first task intensity value, the second task intensity value and the third task intensity value that meet the set conditions; wherein the set conditions include being less than or equal to the working upper limit value and having the maximum value.

7. A medical staff management device, characterized in that: The device comprises: A response module, configured to obtain first work information and a first medical post level of the first medical staff in response to a task configuration instruction from the first object to the first medical staff; wherein the task configuration instruction includes a plurality of tasks; A setting module, configured to set a fatigue coefficient of the first medical staff according to a difference between the actual work intensity and the expected work intensity when the actual work intensity reflected by the first work information exceeds the expected work intensity associated with the first medical staff level; A screening module, configured to screen a first task among the plurality of tasks according to the fatigue coefficient and the expected work intensity; A sending module sends the first task to the first object.

8. An electronic device, characterized in that: The method comprises a processor connected to a memory, wherein the memory is used to store a computer program; the processor is used to execute the computer program to implement the method according to any one of claims 1 to 6.

9. A computer storage medium, characterized in that The computer storage medium stores a computer-readable program, and the computer-readable program is executed by a processor to perform the steps of the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 6 when being executed by a processor.

Images