Medical technology resource automatic overall planning method and system

Abstract

The embodiment of the invention relates to the technical field of medical resource scheduling, and particularly discloses a medical technology resource automatic overall planning method and system. According to the embodiment of the invention, the method comprises the steps: receiving the medical advice application information, and carrying out the distribution processing of the medical advice application information after verification is passed; based on a plurality of preset intelligent scheduling algorithms, performing medical resource overall allocation in different scenes, and generating an overall allocation result; automatic resource reservation and scheduling are carried out, a plurality of scheduling results are generated, and the plurality of scheduling results are fed back and conveyed; the diagnosis and treatment process is monitored and managed, and a visual report of resource utilization is generated. The medical advice processing compliance and accuracy can be improved, efficient utilization of resources is ensured, resource conflicts and vacancy conditions are reduced, fine management of resource scheduling can be achieved, the scheduling precision and efficiency are effectively improved, the medical process is optimized, the diagnosis and treatment efficiency is improved, the resource scheduling effect can be visually presented, and the medical advice processing efficiency is improved. And the management process can be continuously optimized.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical resource scheduling, and in particular, relates to an automated coordination method and system for medical technical resources. Background Art

[0002] With the increasing complexity of the modern medical system, how to rationally allocate and utilize medical resources has become an urgent problem that medical institutions need to solve.

[0003] In the existing technology, resource scheduling is mainly based on manual operation, which is unable to accurately allocate resources under complex conditions, thus leading to problems such as resource waste and low efficiency. Summary of the invention

[0004] The purpose of the embodiments of the present invention is to provide a method and system for automated coordination of medical technical resources, aiming to solve the problems raised in the background technology.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A method for automated coordination of medical technology resources, the method specifically comprising the following steps:

[0007] Receiving medical advice application information, verifying the medical advice application information, and distributing and processing the medical advice application information after the verification passes;

[0008] Based on multiple preset intelligent scheduling algorithms, coordinate and allocate medical resources in different scenarios and generate coordinated allocation results;

[0009] According to the overall allocation result, automatically reserve and schedule resources, generate multiple scheduling results, and feedback and communicate the multiple scheduling results;

[0010] Monitor and manage the diagnosis and treatment process, generate visual reports on resource utilization, and present them to management personnel for scheduling.

[0011] As a further limitation of the technical solution of the embodiment of the present invention, the receiving of the medical order application information, verifying the medical order application information, and distributing the medical order application information after the verification is passed specifically includes the following steps:

[0012] Receive medical order request information from medical staff;

[0013] According to the preset diagnosis and treatment rules, the legality of the medical order application information is checked and matched with the rules to determine whether the medical order application information complies with the relevant medical standards;

[0014] When the medical advice application information complies with relevant medical standards, the medical advice application information is distributed and processed.

[0015] As a further limitation of the technical solution of the embodiment of the present invention, the coordinated allocation of medical resources in different scenarios based on multiple preset intelligent scheduling algorithms and the generation of coordinated allocation results specifically include the following steps:

[0016] Identify multiple medical dispatch scenarios;

[0017] Matching multiple intelligent scheduling algorithms corresponding to the medical scheduling scenarios;

[0018] According to the plurality of intelligent scheduling algorithms, medical resources are allocated in a coordinated manner in corresponding medical scheduling scenarios to generate coordinated allocation results.

[0019] As a further limitation of the technical solution of the embodiment of the present invention, the multiple medical scheduling scenarios include a scenario of reasonable arrangement of equipment and departments, and a scenario of reasonable arrangement of equipment and time periods.

[0020] As a further limitation of the technical solution of the embodiment of the present invention, the objective function of the intelligent scheduling algorithm for reasonably arranging equipment and department scenes is:

[0021] min(∑(p∈P)∑(t∈T_p)C(D_t,S_t));

[0022] C(D_t,S_t)=w_1·I1+w_2·I2+w_3·I3;

[0023] Where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, C(D_t,S_t) represents the cost of allocating equipment and departments, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I3 is the examination time conflict of the same equipment or department, w_1, w_2 and w_3 are weight coefficients.

[0024] As a further limitation of the technical solution of the embodiment of the present invention, the objective function of the reasonable arrangement of equipment and time period scenarios is:

[0025] min(∑(p∈P)∑(t∈T_p)C(D_t,S_t,R_p));

[0026] C(D_t,S_t,R_p)=w_1·I1+w_2·I2+w_4·I4;

[0027] Where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, R_p represents the examination time period of patient p, C(D_t,S_t,R_p) represents the cost of allocating equipment, departments and time periods, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I4 is the penalty when the hospitalized patient is not arranged in the morning or evening time period, w_1, w_2 and w_4 are weight coefficients.

[0028] As a further limitation of the technical solution of the embodiment of the present invention, the automatic reservation and scheduling of resources according to the overall allocation result, generating multiple scheduling results, and feeding back and communicating the multiple scheduling results specifically include the following steps:

[0029] According to the overall allocation results, automatically reserve and schedule resources to generate multiple scheduling results;

[0030] The multiple scheduling results are fed back to the relevant personnel and departments according to multiple communication channels, and the multiple communication channels include text messages, emails and internal message systems.

[0031] As a further limitation of the technical solution of the embodiment of the present invention, the monitoring and management of the diagnosis and treatment process, and the generation of a visual report of resource utilization, and the scheduling and presentation to the management personnel specifically include the following steps:

[0032] Monitor and manage the diagnosis and treatment process, and synchronize resource scheduling with the actual diagnosis and treatment process;

[0033] Generate visual reports on resource utilization;

[0034] Scheduling and presenting the visual report to management personnel;

[0035] Receive management decisions from management staff.

[0036] An automated medical resource coordination system, the system comprising a medical order verification and distribution module, a resource coordination and allocation module, a scheduling feedback communication module and a resource utilization visualization report module, wherein:

[0037] A medical order verification and distribution module is used to receive medical order application information, verify the medical order application information, and distribute the medical order application information after the verification passes;

[0038] The resource allocation module is used to allocate medical resources in different scenarios based on multiple preset intelligent scheduling algorithms and generate allocation results;

[0039] A scheduling feedback communication module is used to automatically reserve and schedule resources according to the overall allocation result, generate multiple scheduling results, and feedback and communicate the multiple scheduling results;

[0040] The resource utilization visualization report module is used to monitor and manage the diagnosis and treatment process, and generate visualization reports on resource utilization for scheduling and presentation to management personnel.

[0041] As a further limitation of the technical solution of the embodiment of the present invention, the medical order verification distribution module specifically includes:

[0042] A medical order receiving unit, used for receiving medical order application information from medical personnel;

[0043] A verification and matching unit, used to perform a legality verification and rule matching on the medical order application information according to preset diagnosis and treatment rules, and determine whether the medical order application information complies with relevant medical specifications;

[0044] The medical order distributing unit is used to distribute and process the medical order application information when the medical order application information complies with relevant medical standards.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] The embodiment of the present invention receives medical order application information, distributes and processes the medical order application information after verification; based on multiple preset intelligent scheduling algorithms, coordinates and allocates medical resources in different scenarios and generates coordinated allocation results; automatically reserves and schedules resources, generates multiple scheduling results, and transmits multiple scheduling results for feedback; monitors and manages the diagnosis and treatment process, and generates a visual report of resource utilization. It can improve the compliance and accuracy of medical order processing, ensure the efficient use of resources, reduce resource conflicts and vacancies, and realize the refined management of resource scheduling, effectively improve the accuracy and efficiency of scheduling, optimize medical processes, improve diagnosis and treatment efficiency, and can intuitively present the scheduling effect of resources, which is convenient for continuous optimization of management processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0048] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0049] Figure 2 The application architecture diagram of the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0051] It is understandable that with the complexity of modern medical systems, how to reasonably allocate and utilize medical resources has become an urgent problem that medical institutions need to solve. In existing technologies, resource scheduling is mostly based on manual operations, which cannot accurately allocate resources under complex conditions, resulting in problems such as waste of resources and low efficiency.

[0052] To solve the above problems, the embodiment of the present invention receives medical order application information, verifies the medical order application information, and distributes and processes the medical order application information after the verification is passed; based on multiple preset intelligent scheduling algorithms, coordinates and allocates medical resources in different scenarios, and generates coordinated allocation results; according to the coordinated allocation results, automatically reserves and schedules resources, generates multiple scheduling results, and feeds back and communicates multiple scheduling results; monitors and manages the diagnosis and treatment process, and generates a visual report of resource utilization, and presents the scheduling to the management personnel. It can improve the compliance and accuracy of medical order processing, ensure the efficient use of resources, reduce resource conflicts and vacancies, and realize the refined management of resource scheduling, effectively improve the accuracy and efficiency of scheduling, optimize medical processes, improve diagnosis and treatment efficiency, and can intuitively present the scheduling effect of resources, which is convenient for continuous optimization of management processes.

[0053] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0054] Specifically, a method for automated coordination of medical technology resources includes the following steps:

[0055] Step S101, receiving medical order application information, verifying the medical order application information, and distributing the medical order application information after the verification passes.

[0056] In an embodiment of the present invention, by receiving medical order application information from medical personnel, and then performing legality verification and rule matching on the medical order application information according to preset diagnosis and treatment rules, it is determined whether the medical order application information complies with relevant medical standards, and when the medical order application information complies with relevant medical standards, the medical order application information is distributed and processed, thereby improving the compliance and accuracy of medical order processing, realizing the rapid distribution and processing of medical orders, and ensuring timely and effective transmission of information.

[0057] Step S102, based on multiple preset intelligent scheduling algorithms, coordinate and allocate medical resources in different scenarios and generate coordinated allocation results.

[0058] In the embodiment of the present invention, by determining multiple medical scheduling scenarios, and then matching the intelligent scheduling algorithms corresponding to the multiple medical scheduling scenarios, and then according to the multiple intelligent scheduling algorithms, in the corresponding medical scheduling scenarios, medical resources are allocated in a coordinated manner to generate a coordinated allocation result. The multiple medical scheduling scenarios include reasonable arrangement of equipment and department scenarios, and reasonable arrangement of equipment and time period scenarios. Specifically:

[0059] (1) Reasonable arrangement of equipment and departments In the scenario, the hospital has multiple examination equipment, each of which checks different examination items. Each item is affected by the doctor's order information, including the patient's age, gender, source (outpatient, inpatient, emergency), whether expert examination is required, whether fasting is required, etc. When there are multiple examination items, try to arrange the same items in the same department and on the same equipment for examination. Therefore, the goal in this scenario is to reasonably arrange the examination equipment and departments according to the characteristics of the patient and the requirements of the examination items to maximize the utilization of equipment and reduce the transfer time of patients. The specific steps are as follows:

[0060] Define the variables as follows: P represents the patient set, each patient p∈P has the following attributes: age A_p, gender G_p, source L_p (outpatient, inpatient, emergency), whether expert examination is required E_p, and whether fasting is required F_p; T is the set of examination items, each examination item t∈T corresponds to different equipment D and department S, and has the following attributes: D_t is the set of equipment required for examination item t, S_t is the department to which examination item t belongs;

[0061] The objective function is: min(∑(p∈P)∑(t∈T_p)C(D_t,S_t)); C(D_t,S_t)=w_1·I1+w_2·I2+w_3·I3; where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, C(D_t,S_t) represents the cost of allocating equipment and departments, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I3 is the examination time conflict of the same equipment or department, w_1, w_2 and w_3 are weight coefficients;

[0062] The constraints are: 1. Each examination item must match the qualified equipment and department: D_t∈D and S_t∈S; 2. The patient's examination arrangement is subject to age, gender, source, fasting state and other conditions. For example, the fasting state examination requires the patient not to eat before the examination. Some items may only be performed on patients of a certain age or gender: If F_p=1, then T_p T_fasting items; 3. Depending on the patient's source (outpatient, inpatient, emergency) and expert requirements, specific equipment or experts may need to be arranged: if E_p = 1, then D_t = expert equipment; 4. Multiple examination items for the same patient should be arranged in the same department and equipment first: S_t1 = S_t2 and 5. Algorithm implementation: Use optimization algorithms such as linear programming (LP) or mixed integer linear programming (MILP) to solve this optimization problem, or use a greedy algorithm (Greedy Algorithm) to gradually allocate inspection items to ensure the effective use of equipment and departments.

[0063] (2) Reasonable arrangement of equipment and time periods In the scenario, the hospital has multiple examination equipment, and each equipment checks different examination items. Each item is affected by the doctor's order information, including the patient's age, gender, source (outpatient, inpatient, emergency), patient identity (elderly, children, pregnant women, military family members, disabled people), whether to designate an expert for examination, whether fasting is required, whether urine retention is required, gestational age, etc. Morning and evening resources are mostly used by inpatients. When there are multiple examination items, according to the items that the equipment can check, try to arrange the items of the same department on the same equipment for examination. The test and electrocardiogram are scheduled by on-site serial number. Therefore, the goal in this scenario is to reasonably arrange the examination equipment and time period according to the patient's characteristics and the requirements of the examination items to maximize the utilization of equipment and reduce the transfer time of patients. The specific steps are as follows:

[0064] Define the variables as follows: P represents the set of patients, and each patient p∈P has the following attributes: age A_p, gender G_p, source L_p (outpatient, inpatient, emergency), patient identity ID_p (elderly, children, pregnant women, military family members, disabled people, etc.), whether expert examination is needed E_p, whether fasting is needed F_p, whether urine retention is needed B_p, gestational age W_p (if the patient is pregnant); T is the set of examination items, and each examination item t∈T corresponds to different equipment D and department S, with the following attributes: D_t is the set of equipment required for examination item t; S_t is the department to which examination item t belongs; R_d is the set of time periods, r_d∈R_d represents a specific time period (for example: morning, noon, evening), among which the morning and evening time periods are preferentially allocated to inpatients;

[0065] The objective function is: min(∑(p∈P)∑(t∈T_p)C(D_t,S_t,R_p)); C(D_t,S_t,R_p)=w_1·I1+w_2·I2+w_4·I4; where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, R_p represents the examination time period of patient p, C(D_t,S_t,R_p) represents the cost of allocating equipment, departments and time periods, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I4 is the penalty when the inpatient is not arranged in the morning and evening time periods, w_1, w_2 and w_4 are weight coefficients;

[0066] The constraints are: 1. Each examination item must match the qualified equipment and department: D_t∈D and S_t∈S; 2. Morning and evening time periods are given priority to hospitalized patients: if L_p=hospitalized, then R_p∈{morning, evening}; 3. The patient's examination arrangement is subject to age, gender, identity, gestational age and other conditions: if W_p>12 weeks, then T_p T_Pregnant women items; 4. Try to arrange the examination items of the same department to be performed on the same equipment: S_t1 = S_t2 and 5. Algorithm implementation: Mixed Integer Programming (MIP): Optimize the allocation of equipment and time periods through linear programming or mixed integer programming; Dynamic programming: Dynamic programming can be used for scheduling problems when resources are exhausted, and dynamically adjust the examination order of patients according to the availability of equipment and time periods; Heuristic algorithm: Priority-based heuristic algorithm can optimize resource allocation within time periods, especially in large-scale examination situations, which can improve computing efficiency.

[0067] Step S103, automatically reserving and scheduling resources according to the overall allocation result, generating multiple scheduling results, and transmitting the multiple scheduling results as feedback.

[0068] In an embodiment of the present invention, resources are automatically reserved and scheduled according to the overall allocation results, and multiple scheduling results are generated. The multiple scheduling results are then fed back to relevant personnel and departments according to multiple communication channels, including text messages, emails, and internal message systems, etc., thereby realizing refined management of resource scheduling, improving the accuracy and efficiency of automatic appointment scheduling, and ensuring multi-channel synchronization of information.

[0069] Step S104, monitor and manage the diagnosis and treatment process, generate a visual report of resource utilization, and present it to the management personnel for scheduling.

[0070] In an embodiment of the present invention, by monitoring and managing the diagnosis and treatment process, resource scheduling is synchronized with the actual diagnosis and treatment process, and a visual report of resource utilization is generated. The visual report is scheduled and presented to management personnel, and management decisions of the management personnel are received. Through the visual report, the scheduling effect of resources can be intuitively presented, which facilitates continuous optimization of management processes.

[0071] Furthermore, Figure 2 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0072] Among them, in another preferred embodiment provided by the present invention, a medical technology resource automation coordination system includes:

[0073] The medical order verification and distribution module 101 is used to receive medical order application information, verify the medical order application information, and distribute the medical order application information after the verification is passed.

[0074] In an embodiment of the present invention, the medical order verification and distribution module 101 receives medical order application information from medical personnel, and then performs legality verification and rule matching on the medical order application information according to preset diagnosis and treatment rules, determines whether the medical order application information complies with relevant medical standards, and distributes and processes the medical order application information when the medical order application information complies with relevant medical standards, thereby improving the compliance and accuracy of medical order processing, realizing rapid distribution and processing of medical orders, and ensuring timely and effective transmission of information.

[0075] Specifically, in the preferred embodiment provided by the present invention, the medical order verification distribution module 101 specifically includes:

[0076] A medical order receiving unit, used for receiving medical order application information from medical personnel;

[0077] A verification and matching unit, used to perform a legality verification and rule matching on the medical order application information according to preset diagnosis and treatment rules, and determine whether the medical order application information complies with relevant medical specifications;

[0078] The medical order distributing unit is used to distribute and process the medical order application information when the medical order application information complies with relevant medical standards.

[0079] Furthermore, the automated medical technology resource coordination system also includes:

[0080] The resource overall allocation module 102 is used to perform overall allocation of medical resources in different scenarios based on multiple preset intelligent scheduling algorithms and generate overall allocation results.

[0081] In the embodiment of the present invention, the resource coordination allocation module 102 determines multiple medical scheduling scenarios, matches the intelligent scheduling algorithms corresponding to the multiple medical scheduling scenarios, and then performs coordinated allocation of medical resources in the corresponding medical scheduling scenarios according to the multiple intelligent scheduling algorithms to generate coordinated allocation results. The multiple medical scheduling scenarios include reasonable arrangement of equipment and department scenarios, and reasonable arrangement of equipment and time period scenarios. Specifically:

[0082] (1) Reasonable arrangement of equipment and departments In the scenario, the hospital has multiple examination equipment, each of which checks different examination items. Each item is affected by the doctor's order information, including the patient's age, gender, source (outpatient, inpatient, emergency), whether expert examination is required, whether fasting is required, etc. When there are multiple examination items, try to arrange the same items in the same department and on the same equipment for examination. Therefore, the goal in this scenario is to reasonably arrange the examination equipment and departments according to the characteristics of the patient and the requirements of the examination items to maximize the utilization of equipment and reduce the transfer time of patients. The specific steps are as follows:

[0083] Define the variables as follows: P represents the patient set, each patient p∈P has the following attributes: age A_p, gender G_p, source L_p (outpatient, inpatient, emergency), whether expert examination is required E_p, and whether fasting is required F_p; T is the set of examination items, each examination item t∈T corresponds to different equipment D and department S, and has the following attributes: D_t is the set of equipment required for examination item t, S_t is the department to which examination item t belongs;

[0084] The objective function is: min(∑(p∈P)∑(t∈T_p)C(D_t,S_t)); C(D_t,S_t)=w_1·I1+w_2·I2+w_3·I3; where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, C(D_t,S_t) represents the cost of allocating equipment and departments, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I3 is the examination time conflict of the same equipment or department, w_1, w_2 and w_3 are weight coefficients;

[0085] The constraints are: 1. Each examination item must match the qualified equipment and department: D_t∈D and S_t∈S; 2. The patient's examination arrangement is subject to age, gender, source, fasting state and other conditions. For example, the fasting state examination requires the patient not to eat before the examination. Some items may only be performed on patients of a certain age or gender: If F_p=1, then T_p T_fasting items; 3. Depending on the patient's source (outpatient, inpatient, emergency) and expert requirements, specific equipment or experts may need to be arranged: if E_p = 1, then D_t = expert equipment; 4. Multiple examination items for the same patient should be arranged in the same department and equipment first: S_t1 = S_t2 and 5. Algorithm implementation: Use optimization algorithms such as linear programming (LP) or mixed integer linear programming (MILP) to solve this optimization problem, or use a greedy algorithm (Greedy Algorithm) to gradually allocate inspection items to ensure the effective use of equipment and departments.

[0086] (2) Reasonable arrangement of equipment and time periods In the scenario, the hospital has multiple examination equipment, and each equipment checks different examination items. Each item is affected by the doctor's order information, including the patient's age, gender, source (outpatient, inpatient, emergency), patient identity (elderly, children, pregnant women, military family members, disabled people), whether to designate an expert for examination, whether fasting is required, whether urine retention is required, gestational age, etc. Morning and evening resources are mostly used by inpatients. When there are multiple examination items, according to the items that the equipment can check, try to arrange the items of the same department on the same equipment for examination. The test and electrocardiogram are scheduled by on-site serial number. Therefore, the goal in this scenario is to reasonably arrange the examination equipment and time period according to the patient's characteristics and the requirements of the examination items to maximize the utilization of equipment and reduce the transfer time of patients. The specific steps are as follows:

[0087] Define the variables as follows: P represents the set of patients, and each patient p∈P has the following attributes: age A_p, gender G_p, source L_p (outpatient, inpatient, emergency), patient identity ID_p (elderly, children, pregnant women, military family members, disabled people, etc.), whether expert examination is needed E_p, whether fasting is needed F_p, whether urine retention is needed B_p, gestational age W_p (if the patient is pregnant); T is the set of examination items, and each examination item t∈T corresponds to different equipment D and department S, with the following attributes: D_t is the set of equipment required for examination item t; S_t is the department to which examination item t belongs; R_d is the set of time periods, r_d∈R_d represents a specific time period (for example: morning, noon, evening), among which the morning and evening time periods are preferentially allocated to inpatients;

[0088] The objective function is: min(∑(p∈P)∑(t∈T_p)C(D_t,S_t,R_p)); C(D_t,S_t,R_p)=w_1·I1+w_2·I2+w_4·I4; where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, R_p represents the examination time period of patient p, C(D_t,S_t,R_p) represents the cost of allocating equipment, departments and time periods, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I4 is the penalty when the inpatient is not arranged in the morning and evening time periods, w_1, w_2 and w_4 are weight coefficients;

[0089] The constraints are: 1. Each examination item must match the qualified equipment and department: D_t∈D and S_t∈S; 2. Morning and evening time periods are given priority to hospitalized patients: if L_p=hospitalized, then R_p∈{morning, evening}; 3. The patient's examination arrangement is subject to age, gender, identity, gestational age and other conditions: if W_p>12 weeks, then T_p T_Pregnant women items; 4. Try to arrange the examination items of the same department to be performed on the same equipment: S_t1 = S_t2 and 5. Algorithm implementation: Mixed Integer Programming (MIP): Optimize the allocation of equipment and time periods through linear programming or mixed integer programming; Dynamic programming: Dynamic programming can be used for scheduling problems when resources are exhausted, and dynamically adjust the examination order of patients according to the availability of equipment and time periods; Heuristic algorithm: Priority-based heuristic algorithm can optimize resource allocation within time periods, especially in large-scale examination situations, which can improve computing efficiency.

[0090] The scheduling feedback communication module 103 is used to automatically reserve and schedule resources according to the overall allocation result, generate multiple scheduling results, and feedback and communicate the multiple scheduling results.

[0091] In an embodiment of the present invention, the scheduling feedback communication module 103 automatically reserves and schedules resources according to the overall allocation results, generates multiple scheduling results, and then feedbacks and communicates the multiple scheduling results to relevant personnel and departments according to multiple communication channels, including text messages, emails, and internal message systems, etc., thereby realizing refined management of resource scheduling, improving the accuracy and efficiency of automatic appointment scheduling, and ensuring multi-channel synchronization of information.

[0092] The resource utilization visualization report module 104 is used to monitor and manage the diagnosis and treatment process, and generate a visualization report of resource utilization for scheduling and presentation to management personnel.

[0093] In an embodiment of the present invention, the resource utilization visualization report module 104 synchronizes resource scheduling with the actual diagnosis and treatment process by monitoring and managing the diagnosis and treatment process, and generates a visualization report on resource utilization. The visualization report is scheduled and presented to management personnel, and management decisions of the management personnel are received. Through the visualization report, the scheduling effect of resources can be intuitively presented, which is convenient for continuous optimization of management processes.

[0094] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0095] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0096] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0097] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0098] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for automated coordination of medical technology resources, characterized in that: The method specifically comprises the following steps: Receiving medical advice application information, verifying the medical advice application information, and distributing and processing the medical advice application information after the verification passes; Based on multiple preset intelligent scheduling algorithms, coordinate and allocate medical resources in different scenarios and generate coordinated allocation results; According to the overall allocation result, automatically reserve and schedule resources, generate multiple scheduling results, and feedback and communicate the multiple scheduling results; Monitor and manage the diagnosis and treatment process, generate visual reports on resource utilization, and present them to management personnel for scheduling.

2. The method for automated coordination of medical technology resources according to claim 1, characterized in that: The receiving of the medical order application information, verifying the medical order application information, and distributing the medical order application information after the verification is passed specifically includes the following steps: Receive medical order request information from medical staff; According to the preset diagnosis and treatment rules, the legality of the medical order application information is checked and matched with the rules to determine whether the medical order application information complies with the relevant medical standards; When the medical advice application information complies with relevant medical standards, the medical advice application information is distributed and processed.

3. The automated medical resource planning method according to claim 1, characterized in that: The method of performing coordinated allocation of medical resources in different scenarios based on multiple preset intelligent scheduling algorithms and generating coordinated allocation results specifically includes the following steps: Identify multiple medical dispatch scenarios; Matching multiple intelligent scheduling algorithms corresponding to the medical scheduling scenarios; According to the plurality of intelligent scheduling algorithms, medical resources are allocated in a coordinated manner in corresponding medical scheduling scenarios to generate coordinated allocation results.

4. The method for automated coordination of medical technology resources according to claim 3, characterized in that: The multiple medical scheduling scenarios include a scenario of reasonable arrangement of equipment and departments, and a scenario of reasonable arrangement of equipment and time periods.

5. The method for automated coordination of medical technology resources according to claim 4, characterized in that: The objective function of the intelligent scheduling algorithm for rationally arranging equipment and department scenarios is: min(∑(p∈P)∑(t∈T_p)C(D_t,S_t)); C(D_t,S_t)=w_1·I1+w_2·I2+w_3·I3; Where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, C(D_t,S_t) represents the cost of allocating equipment and departments, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I3 is the examination time conflict of the same equipment or department, w_1, w_2 and w_3 are weight coefficients.

6. The method for automated coordination of medical technology resources according to claim 4, characterized in that: The objective function of the scenario of reasonable arrangement of equipment and time period is: min(∑(p∈P)∑(t∈T_p)C(D_t,S_t,R_p)); C(D_t,S_t,R_p)=w_1·I1+w_2·I2+w_4·I4; Where P represents the patient set, each patient p∈P, T_p represents the set of examination items required by patient p, R_p represents the examination time period of patient p, C(D_t,S_t,R_p) represents the cost of allocating equipment, departments and time periods, I1 is the penalty when the examination items cross departments, I2 is the penalty when different examination items of the same patient cross equipment, I4 is the penalty when the hospitalized patient is not arranged in the morning or evening time period, w_1, w_2 and w_4 are weight coefficients.

7. The method for automated coordination of medical technology resources according to claim 1, characterized in that: The automatic reservation and scheduling of resources according to the overall allocation result, generating multiple scheduling results, and feeding back and communicating the multiple scheduling results specifically include the following steps: According to the overall allocation results, automatically reserve and schedule resources to generate multiple scheduling results; The multiple scheduling results are fed back to the relevant personnel and departments according to multiple communication channels, and the multiple communication channels include text messages, emails and internal message systems.

8. The method for automated coordination of medical technology resources according to claim 1, characterized in that: The monitoring and management of the diagnosis and treatment process, and the generation of a visual report of resource utilization, for scheduling and presenting to management personnel specifically include the following steps: Monitor and manage the diagnosis and treatment process, and synchronize resource scheduling with the actual diagnosis and treatment process; Generate visual reports on resource utilization; Scheduling and presenting the visual report to management personnel; Receive management decisions from management staff.

9. An automated medical resource coordination system, characterized in that: The system includes a medical order verification and distribution module, a resource overall allocation module, a scheduling feedback communication module and a resource utilization visualization report module, wherein: A medical order verification and distribution module is used to receive medical order application information, verify the medical order application information, and distribute the medical order application information after the verification passes; The resource allocation module is used to allocate medical resources in different scenarios based on multiple preset intelligent scheduling algorithms and generate allocation results; A scheduling feedback communication module is used to automatically reserve and schedule resources according to the overall allocation result, generate multiple scheduling results, and feedback and communicate the multiple scheduling results; The resource utilization visualization report module is used to monitor and manage the diagnosis and treatment process, and generate visualization reports on resource utilization for scheduling and presentation to management personnel.

10. The automated medical resource coordination system according to claim 9, characterized in that: The medical order verification and distribution module specifically includes: A medical order receiving unit, used for receiving medical order application information from medical personnel; A verification and matching unit, used to perform a legality verification and rule matching on the medical order application information according to preset diagnosis and treatment rules, and determine whether the medical order application information complies with relevant medical specifications; The medical order distributing unit is used to distribute and process the medical order application information when the medical order application information meets the relevant medical standards.

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