Medical material-based in-hospital logistics scheduling method, equipment and medium

Abstract

The invention discloses an in-hospital logistics scheduling method and equipment based on medical supplies and a medium, belongs to the technical field of medical supply logistics, and aims to solve the problems that when existing medical consumables are scheduled in a hospital, a logistics whole chain is not perfect, the logistics scheduling condition of the medical consumables is difficult to integrally monitor in a whole process, and the logistics scheduling efficiency is high. And the technical problems of untight supervision and management and transportation confusion are easily caused. The method comprises the following steps: correspondingly marking medical consumables in a medical material warehouse to obtain to-be-extracted drug information; logistics monitoring is carried out on dispatched drugs in the to-be-extracted drug information, and to-be-transported drug information is generated; performing data attribute item consistency judgment on the to-be-extracted drug information and the to-be-transported drug information to obtain first check result information; performing path planning calculation on the medical consumables in the medical consumable order under the shortest related time factor; and carrying out label recovery processing on the to-be-transported medicine information, generating extracted medicine information, and obtaining second checking result information.

Description

Technical Field

[0001] The present application relates to the field of medical supplies logistics, and in particular to an in-hospital logistics scheduling method, equipment and medium based on medical supplies. Background Art

[0002] As the digital transformation of the medical industry accelerates, medical institutions have a growing demand for intelligent and information-based management. As an important tool to improve the management efficiency of medical institutions and reduce operating costs, the market demand for the intelligent integrated management platform for drugs, consumables and equipment continues to expand.

[0003] When existing medical consumables are dispatched within the hospital, corresponding nurses or full-time personnel are often required to retrieve the medical consumables, and then manually deliver them to special departments or wards. The logistics process is mainly based on manual transportation, and it is difficult to form a logistics closed loop. In the hospital logistics of traditional medical consumables, the logistics closed loop is basically completed after the medical consumables are shipped out of the warehouse. There is no further tracking of whether the medical consumables have actually arrived at the target department or target location, which can easily cause transportation chaos and make it difficult to monitor the actual use of medical consumables. It is easy to cause problems such as lax supervision or overly simple management of medical consumables, which is not conducive to the high-demand development of the medical industry in an intelligent, comprehensive and integrated manner. Summary of the invention

[0004] The embodiments of the present application provide a method, device and medium for in-hospital logistics scheduling based on medical supplies, which are used to solve the following technical problems: when existing medical consumables are scheduled in the hospital, the entire logistics chain is not perfect, and it is difficult to monitor the logistics scheduling of medical consumables in an integrated manner throughout the entire process, which can easily lead to lax supervision and management and transportation confusion.

[0005] The present application embodiment adopts the following technical solutions:

[0006] On the one hand, an embodiment of the present application provides an intra-hospital logistics scheduling method based on medical supplies, including: marking the medical consumables in the medical supplies warehouse according to the medical consumables order to obtain the information of the drugs to be extracted; performing logistics monitoring on the scheduled drugs in the drug information to be extracted through a preset wireless sensing device to generate the drug information to be transported; performing consistency judgment on the data attribute items of the drug information to be extracted and the drug information to be transported to obtain first verification result information; if the first verification result information is consistency information, the medical consumables in the medical consumables order are calculated by path planning under the shortest time factor through an intelligent transport cart to obtain a medical consumables transportation route; the drug information to be transported is processed by label recycling through an RFID recycling box in the medical consumables transportation route, and the extracted drug information is generated; the extracted drug information and the drug information to be extracted are judged for consistency of data attribute items to obtain second verification result information; if the second verification result information is verification pass information, the logistics scheduling of the medical consumables order is completed.

[0007] The embodiment of the present application can complete the transportation of medical consumables in the shortest time through intelligent transport carts and path planning calculations, thereby improving the efficiency of in-hospital logistics. Through consistency judgment of data attribute items, drug information errors caused by human errors can be reduced during extraction and transportation. Through preset wireless sensing devices, the logistics status of drugs to be extracted can be monitored in real time to improve the transparency and real-time nature of management. Through path planning and logistics monitoring, resources can be allocated more reasonably to avoid waste of resources. Through label recycling and consistency verification, the safety of drugs during extraction and transportation can be ensured, and the risk of drug loss or misuse can be reduced. The intelligent logistics scheduling method simplifies the operating process, reduces the difficulty of operation, and is especially more friendly to non-professional logistics personnel. It can enable medical staff to provide medical services more professionally, reduce the troubles caused by drug allocation problems, and greatly reduce the manpower cost of medical staff drug scheduling.

[0008] In a feasible implementation, according to the medical consumables order, the medical consumables in the medical supplies warehouse are marked accordingly to obtain the information of drugs to be extracted, which specifically includes: identifying the RFID identification code and the quantity of each medical consumable in the medical consumables order; based on the RFID identification code, performing shelf query processing on the medical supplies warehouse to obtain shelf information corresponding to the RFID identification code; wherein the shelf information at least includes: area category, shelf number, number of shelf layers and single product serial number; inputting the shelf information into the intelligent transport cart; according to the end point of the tracking route of the intelligent transport cart, marking the medical consumables corresponding to the shelf information to be extracted, and generating a list of drugs to be extracted; wherein the list of drugs to be extracted is visually displayed information in the intelligent transport cart; based on the predetermined volume of the intelligent transport cart and the same category quantity of the medical consumables order, the list of drugs to be extracted is divided into sections to determine the information of drugs to be extracted of each intelligent transport cart.

[0009] In a feasible implementation, a preset wireless sensing device is used to perform logistics monitoring on the scheduled drugs in the drug information to be extracted, and the drug information to be transported is generated, which specifically includes: after determining the drug information to be extracted of each intelligent transport cart, the extracted medical consumables are data sensed by the wireless sensing device on each shelf to obtain the scheduled drug information; wherein the scheduled drug information includes: drug type and drug quantity; the transport number of the intelligent transport cart is identified by the wireless sensing device; the transport number of the intelligent transport cart is data-fused with the dispatched drug information to determine the drug information to be transported of each intelligent transport cart.

[0010] In a feasible implementation manner, the consistency of the data attribute items of the drug information to be extracted and the drug information to be transported is judged to obtain the first verification result information, which specifically includes: obtaining the extracted data attribute items of each drug unit in the drug information to be extracted; identifying and extracting the transportation verification attribute items corresponding to the drug unit in the drug information to be transported; wherein the extracted data attribute items and the transportation verification attribute items both include at least: drug name, specification model, production batch number, unit quantity and validity period; establishing a mapping relationship table between the extracted data attribute items and the transportation verification attribute items, wherein the mapping relationship table includes: field name correspondence and numerical type conversion rules; through a preset hash check algorithm, feature extraction is performed on the extracted data attribute items and the transportation verification attribute items respectively, and a first feature identification code and a second feature identification code are generated respectively; the first feature identification code and the second feature identification code are compared under a bit-by-bit rule to obtain the first verification result information; wherein the bit-by-bit rule includes: the identification code length is the same and the first 8-bit check code matches, the number of difference bits matches the preset fault tolerance threshold, and the key field identification bits are completely consistent.

[0011] In a feasible implementation, after the consistency of the data attribute items of the drug information to be extracted and the drug information to be transported is judged to obtain the first verification result information, the method also includes: if the first verification result information is consistent information, the RFID high-frequency sensing door at the entrance of the medical supplies warehouse is controlled to become an open state, and the intelligent transport cart is controlled to drive out; if the first verification result information is inconsistent information, the RFID high-frequency sensing door at the entrance of the medical supplies warehouse is controlled to become a closed state, and the corresponding staff is called for re-verification.

[0012] In a feasible implementation, if the first verification result information is consistency information, the medical consumables in the medical consumables order are subjected to path planning calculation under the shortest time factor through an intelligent transport cart to obtain a medical consumables transportation route, specifically including: obtaining a real-time constraint parameter set of the current in-hospital transportation environment; wherein the constraint parameter set includes: three-dimensional topological data of hospital buildings, department demand time window, elevator operation status time series table and real-time obstacle avoidance sensor data stream; establishing a dynamic path weight model based on multi-source data in the real-time constraint parameter set; wherein the constraints under the shortest time factor in the dynamic path weight model include: estimated travel time, time sensitivity coefficient, number of path conflict points, dynamic penalty factor, department distribution priority and drug priority; through the dynamic path weight model, the medical consumables in the medical consumables order are subjected to constraint node weight calculation under the shortest time factor to obtain a path weight; through an ant colony optimization algorithm and based on the path weight, a number of transportation routes are generated; and the path plan with the highest comprehensive score among the several transportation routes is selected as the medical consumables transportation route.

[0013] In a feasible implementation, the information of the drugs to be transported is subjected to label recycling through an RFID recycling box in the medical consumables transportation route, and the information of the extracted drugs is generated, specifically including: the medical consumables in the intelligent transport cart are subjected to terminal delivery processing through the medical consumables transportation route; the RFID identification codes of all the medical consumables are identified and recorded through the RFID recycling box, and the transportation number of the intelligent transport cart is recorded; according to the information of the drugs to be transported, the RFID identification code and the transportation number are subjected to label recycling processing, and the extracted drug information that has been received by the staff is generated.

[0014] In a feasible implementation, the consistency of the data attribute items of the extracted drug information and the drug information to be extracted is judged to obtain the second verification result information, which specifically includes: obtaining the extracted data attribute items of each drug unit in the drug information to be extracted; identifying and extracting the acceptance verification attribute items corresponding to the drug unit in the extracted drug information; wherein the extracted data attribute items and the acceptance verification attribute items both include at least: drug name, specification model, production batch number, unit quantity and expiration date; the first feature identification code of the extracted data attribute item is judged to be consistent with the third feature identification code of the acceptance verification attribute item to obtain the second verification result information.

[0015] In the second aspect, an embodiment of the present application also provides an in-hospital logistics scheduling device based on medical supplies, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute an in-hospital logistics scheduling method based on medical supplies as described in any of the above embodiments.

[0016] In the third aspect, an embodiment of the present application also provides a non-volatile computer storage medium, characterized in that the storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by a terminal, the terminal executes a hospital logistics scheduling method based on medical supplies as described in any of the above embodiments.

[0017] The present application provides a method, device and medium for in-hospital logistics scheduling based on medical supplies. Compared with the prior art, the embodiments of the present application have the following beneficial technical effects:

[0018] 1. Improve logistics efficiency: Through intelligent transport carts and path planning calculations, the transportation of medical consumables can be completed in the shortest time, thereby improving the efficiency of in-hospital logistics.

[0019] 2. Reduce errors: By judging the consistency of data attribute items, drug information errors caused by human errors can be reduced during the extraction and transportation process.

[0020] 3. Real-time monitoring: Through the preset wireless sensing equipment, the logistics status of the drugs to be extracted can be monitored in real time, improving the transparency and real-time nature of management.

[0021] 4. Optimize resource allocation: Through route planning and logistics monitoring, resources can be allocated more reasonably and waste of resources can be avoided.

[0022] 5. Improve drug safety: Through label recovery processing and consistency verification, the safety of drugs during extraction and transportation can be ensured, reducing the risk of drug loss or misuse.

[0023] 6. Simplify the operation process: Intelligent logistics scheduling methods simplify the operation process and reduce the difficulty of operation, especially for non-professional logistics personnel.

[0024] 7. Reduce the workload of medical staff: It enables medical staff to provide more professional medical services, reduce the troubles caused by drug allocation problems, and greatly reduce the manpower cost of drug dispatch for medical staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0026] Figure 1 A flow chart of a method for in-hospital logistics scheduling based on medical supplies provided in an embodiment of the present application;

[0027] Figure 2 A schematic diagram of the structure of an in-hospital logistics scheduling device based on medical supplies provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0029] The present application embodiment provides a method for in-hospital logistics scheduling based on medical supplies, such as Figure 1 As shown, the in-hospital logistics scheduling method based on medical supplies specifically includes steps S101-S106:

[0030] S101. According to the medical consumables order, the medical consumables in the medical material warehouse are marked accordingly to obtain the information of the drugs to be extracted.

[0031] Specifically, it is first necessary to identify the RFID identification code of each medical consumable in the medical consumable order and the quantity of the consumables.

[0032] Furthermore, based on the RFID identification code, the medical material warehouse is subjected to shelf query processing to obtain shelf information corresponding to the RFID identification code, wherein the shelf information at least includes: area category, shelf number, shelf layer number and single product serial number.

[0033] Further, the shelf information is input into the smart transport cart.

[0034] Furthermore, according to the end point of the tracking route of the intelligent transport cart, the medical consumables corresponding to the shelf information are marked as to be picked up, and a list of medicines to be picked up is generated. The list of medicines to be picked up is visually displayed information in the intelligent transport cart.

[0035] Furthermore, based on the predetermined volume of the intelligent transport cart and the number of the same category of medical consumables orders, the list of drugs to be picked up is divided into sections, and the information of the drugs to be picked up of each intelligent transport cart is determined.

[0036] In one embodiment, a medical consumables intelligent marking and extraction system can be used: a medical supplies warehouse management server: deployed with a warehouse database, storing the three-dimensional coordinates, RFID binding relationships and inventory status of all shelves; an RFID scanning array: deployed at the warehouse entrance and the edge of the shelf, using a UHF RFID reader (working frequency 860-960MHz); an intelligent transport cart cluster: equipped with a touch screen, a path planning module, a laser radar and a robotic arm actuator; an order processing terminal: connected to the hospital HIS system interface to receive medical consumables order data.

[0037] As a feasible implementation method, when a medical consumables order is transmitted to the system via the HL7 protocol, the order parsing module executes: extracting the standardized code (such as the GS1-128 barcode structure) of each consumable in the order, the format is: (01) national standard code of the product (17) validity period (10) batch number (30) quantity. The corresponding RFID identification code is queried through the code mapping table (using the EPCGen2 coding specification) to generate a tuple set of <consumable type, RFID code, required quantity>. For consumables whose quantity exceeds the capacity of a single package, they are automatically split into multi-task units (such as the cart control center performs dynamic scheduling: the shelf coordinate set is input into the Hungarian algorithm to calculate the optimal cart-task allocation plan, and the objective function is: minimize the total driving distance + α× time window conflict penalty term.

[0038] As a feasible implementation method, it is also necessary to generate a hierarchical task instruction package for each cart, including: Navigation layer: the sequence of key points of the path marked in the laser SLAM map. Operation layer: the gripping angle parameters of the robotic arm (based on the consumables packaging size database). Verification layer: the RFID tag needs to be scanned for secondary verification when stopping at each shelf. The cart terminal executes the loading strategy: Volume adaptive division: According to the size of the cart cargo compartment (length × width × height = 1200 × 800 × 1500mm) and the consumables packaging volume, a three-dimensional packing algorithm (Guillotine segmentation method) is used to generate a loading plan. The cart touch screen is displayed in layers: Top layer: shelf navigation indication (arrow + distance) of the current task segment. Middle layer: 3D shelf position highlight map of the consumables to be extracted. Bottom layer: weight distribution cloud map of loaded items.

[0039] S102. Perform logistics monitoring on the dispatched drugs in the extracted drug information through a preset wireless sensing device to generate information on the drugs to be transported.

[0040] Specifically, after determining the drug information to be extracted from each intelligent transport cart, the wireless sensing device on each shelf is used to sense the extracted medical consumables to obtain the dispatched drug information, wherein the dispatched drug information includes: drug type and drug quantity.

[0041] Furthermore, the transport number of the smart transport cart is identified through a wireless sensing device.

[0042] Furthermore, the transport number of the intelligent transport cart is integrated with the dispatched drug information to determine the drug information to be transported by each intelligent transport cart.

[0043] S103. Check the consistency of data attribute items between the drug information to be extracted and the drug information to be transported to obtain first verification result information.

[0044] Specifically, it is also necessary to obtain the extracted data attribute items of each drug unit in the drug information to be extracted. Identify and extract the transportation verification attribute items corresponding to the drug units in the drug information to be transported. Among them, the extracted data attribute items and the transportation verification attribute items at least include: drug name, specification model, production batch number, unit quantity and expiration date.

[0045] Furthermore, a mapping relationship table between the extracted data attribute items and the transport verification attribute items is established, wherein the mapping relationship table includes: field name correspondence and value type conversion rules.

[0046] Furthermore, through a preset hash verification algorithm, feature extraction is performed on the extracted data attribute item and the transport verification attribute item respectively to generate a first feature identification code and a second feature identification code respectively.

[0047] Furthermore, the first characteristic identification code and the second characteristic identification code are compared bit by bit to obtain first verification result information, wherein the bit by bit rule includes: the identification code length is the same and the first 8 check codes match, the number of difference bits matches the preset fault tolerance threshold, and the key field identification bits are completely consistent.

[0048] Furthermore, if the first check result information is consistent information, the RFID high-frequency induction door at the entrance of the medical supplies warehouse is controlled to be opened, and the intelligent transport cart is controlled to drive out. If the first check result information is inconsistent information, the RFID high-frequency induction door at the entrance of the medical supplies warehouse is controlled to be closed, and the corresponding staff is called for re-checking.

[0049] In one embodiment, a hospital receives an order for medical consumables, which contains drug information that needs to be extracted. This information includes the extracted data attribute items of each drug unit, such as drug name (such as "Amoxicillin Capsules"), specification model (such as "0.25g*100 tablets"), production batch number (such as "20230101"), unit quantity (such as "1 box") and expiration date (such as "2024-12-31"). Then a mapping relationship table is established, which contains the field name correspondence and numerical type conversion rules. For example, the mapping relationship table may contain the following content: Field name correspondence: drug name -> "DrugName", specification model -> "Specs", production batch number -> "BatchNo", unit quantity -> "Quantity", expiration date -> "ExpiryDate" Numerical type conversion rules: Rules for converting unit quantity from "box" to "piece".

[0050] In one embodiment, a hash check algorithm is used to extract features from the extracted data attribute items and the transport verification attribute items. For the drug name "Amoxicillin Capsules", a feature identification code "1234567890ABCDEF" may be generated. For the transport verification attribute item, such as the production batch number "20230101", a feature identification code "1234567890GHIJKL" may be generated. Then the first feature identification code "1234567890ABCDEF" is compared bit by bit with the second feature identification code "1234567890GHIJKL". The verification rules include: the identification code length is the same and the first 8-bit check code matches, the number of difference bits matches the preset fault tolerance threshold, and the key field identification bits are completely consistent. If the comparison result shows consistency information, the RFID high-frequency sensing door is opened, and the intelligent transport cart drives out to prepare to extract the drug. If the comparison result shows inconsistency information, the RFID high-frequency sensing door is closed, and the system will call the corresponding staff for re-verification.

[0051] S104. If the first verification result information is consistency information, the medical consumables in the medical consumables order are subjected to path planning calculation under the shortest time factor through the intelligent transport cart to obtain a transportation route for the medical consumables.

[0052] Specifically, first obtain the real-time constraint parameter set of the current intra-hospital transportation environment, wherein the constraint parameter set includes: hospital building three-dimensional topological data, department demand time window, elevator operation status time series table and real-time obstacle avoidance sensor data stream.

[0053] Furthermore, a dynamic path weight model is established based on multi-source data in the real-time constraint parameter set. The constraints under the shortest time factor in the dynamic path weight model include: estimated travel time, time sensitivity coefficient, path conflict points, dynamic penalty factor, department distribution priority, and drug priority.

[0054] Furthermore, through the dynamic path weight model, the constraint node weights of the medical consumables in the medical consumables order are calculated under the shortest time factor to obtain the path weight.

[0055] Furthermore, several transportation routes are generated through an ant colony optimization algorithm and based on the path weights, and the path plan with the highest comprehensive score among the several transportation routes is selected as the transportation route for medical consumables.

[0056] In one embodiment, the system first obtains a set of real-time constraint parameters for the current in-hospital transportation environment. The set of constraint parameters may include the following: 3D topological data of hospital buildings: including the structure, floors, corridors, room locations, etc. of hospital buildings. Department demand time window: specifies the specific time range for each department to receive medical consumables. Elevator operation status time table: records the current and future operation schedules of the elevator. Real-time obstacle avoidance sensor data stream: real-time monitoring of moving obstacles in the hospital, such as pedestrians, carts, etc.

[0057] In one embodiment, the system establishes a dynamic path weight model based on multi-source data in the real-time constraint parameter set. The model takes into account the following constraints: Estimated travel time: Based on the three-dimensional topological data of the hospital building and the elevator status, the travel time of different paths is estimated. Time sensitivity coefficient: The sensitivity of different departments to the delivery time of medical consumables. Number of path conflict points: The number of conflict points that may be encountered on the path, such as places where multiple carts or pedestrians cross. Dynamic penalty factor: Penalties for certain specific paths or locations, such as congested areas or emergency passages. Department distribution priority: The priority of different departments' demand for medical consumables. Drug priority: The urgency or importance of certain specific drugs.

[0058] In one embodiment, the system uses a dynamic path weight model to calculate the path weights of medical consumables in a medical consumables order. The calculation results include the weights of each path, which take into account all the above constraints. Using the ant colony optimization algorithm, the system generates several possible transportation routes based on the path weights. The ant colony optimization algorithm is an optimization algorithm that simulates the foraging behavior of ants in nature and can find the optimal or approximately optimal solution to multi-path problems. The system comprehensively scores the multiple generated transportation routes, and the scores may be based on factors such as delivery time, path length, and number of conflict points. Finally, the path plan with the highest comprehensive score is selected as the transportation route for medical consumables.

[0059] S105, using the RFID recycling box in the medical consumables transportation route, label recycling processing is performed on the information of the drugs to be transported, and the extracted drug information is generated.

[0060] Specifically, the medical consumables transportation route is utilized to place the medical consumables in the intelligent transport cart at the final destination.

[0061] Furthermore, the RFID identification codes of all medical consumables are identified and recorded through the RFID recycling box, and the transportation number of the intelligent transport cart is recorded.

[0062] Furthermore, according to the information of the drugs to be transported, the RFID identification code and the transport number are subjected to label recovery processing to generate the extracted drug information that has been received by the staff.

[0063] As a feasible implementation method, by using smart transport carts to process the terminal delivery of medical consumables, the workload of staff can be reduced and the efficiency of material delivery can be improved. By identifying and recording the RFID identification codes of all medical consumables and the transportation numbers of smart transport carts through RFID recycling boxes, accurate tracking of materials can be achieved. Automatic identification and recording processing can reduce the workload of manual data entry and reduce the possibility of human errors. Recording the processing process and results increases the transparency of the logistics process and helps to monitor the flow of materials in real time. By recording the information of extracted drugs, drug inventory errors such as drug omissions or duplicate issuance can be reduced. By tracking the extraction and use of drugs, inventory management can be better optimized to avoid drug expiration and waste. Ensuring that medical consumables arrive at patients or departments in a timely and accurate manner helps to improve the quality and safety of patient care. Label recycling processing simplifies the workflow and enables staff to complete their work tasks faster. All records of medical consumables are well documented, which is convenient for auditing and tracing, and is very useful for investigating errors or quality issues. Through automatic recording processing, the risk of drugs being misused during transportation is reduced.

[0064] S106, performing consistency judgment on data attribute items between the extracted drug information and the drug information to be extracted to obtain second verification result information. If the second verification result information is verification passed information, the logistics scheduling of the medical consumables order is completed.

[0065] Specifically, it is necessary to obtain the extraction data attribute items of each drug unit in the drug information to be extracted.

[0066] Further, the acceptance verification attribute items corresponding to the drug units in the extracted drug information are identified and extracted, wherein both the extracted data attribute items and the acceptance verification attribute items at least include: drug name, specification model, production batch number, unit quantity and expiration date.

[0067] Furthermore, the first characteristic identification code of the extracted data attribute item and the third characteristic identification code of the accepted verification attribute item are judged for consistency to obtain second verification result information.

[0068] In addition, the present application embodiment also provides a hospital logistics scheduling device based on medical supplies, such as Figure 2 As shown, the in-hospital logistics scheduling device 200 based on medical supplies specifically includes:

[0069] At least one processor 201. And a memory 202 in communication with the at least one processor 201. The memory 202 stores instructions that can be executed by the at least one processor 201, so that the at least one processor 201 can execute:

[0070] According to the medical consumables order, the medical consumables in the medical supplies warehouse are marked accordingly to obtain the information of the drugs to be extracted;

[0071] Through the preset wireless sensing equipment, the dispatched drugs in the extracted drug information are monitored for logistics, and the information of drugs to be transported is generated;

[0072] Perform consistency judgment on data attribute items of the drug information to be extracted and the drug information to be transported to obtain first verification result information;

[0073] If the first verification result information is consistency information, the medical consumables in the medical consumables order are subjected to path planning calculation under the shortest time factor by using an intelligent transport cart to obtain a transportation route for the medical consumables;

[0074] Through the RFID recycling box in the medical consumables transportation route, the label recycling process is performed on the drug information to be transported, and the extracted drug information is generated;

[0075] The consistency of the data attribute items of the extracted drug information and the drug information to be extracted is judged to obtain second verification result information; if the second verification result information is verification passed information, the logistics scheduling of the medical consumables order is completed.

[0076] The embodiment of the present application can complete the transportation of medical consumables in the shortest time through intelligent transport carts and path planning calculations, thereby improving the efficiency of in-hospital logistics. Through consistency judgment of data attribute items, drug information errors caused by human errors can be reduced during extraction and transportation. Through preset wireless sensing devices, the logistics status of drugs to be extracted can be monitored in real time to improve the transparency and real-time nature of management. Through path planning and logistics monitoring, resources can be allocated more reasonably to avoid waste of resources. Through label recycling and consistency verification, the safety of drugs during extraction and transportation can be ensured, and the risk of drug loss or misuse can be reduced. The intelligent logistics scheduling method simplifies the operating process, reduces the difficulty of operation, and is especially more friendly to non-professional logistics personnel. It can enable medical staff to provide medical services more professionally, reduce the troubles caused by drug allocation problems, and greatly reduce the manpower cost of medical staff drug scheduling.

[0077] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0078] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0079] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0080] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0081] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0082] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0083] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0084] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for in-hospital logistics scheduling based on medical supplies, characterized in that: The method comprises: According to the medical consumables order, the medical consumables in the medical supplies warehouse are marked accordingly to obtain the information of the drugs to be extracted; Through the preset wireless sensing equipment, the dispatched drugs in the extracted drug information are monitored for logistics, and the information of drugs to be transported is generated; Perform consistency judgment on data attribute items of the drug information to be extracted and the drug information to be transported to obtain first verification result information; If the first verification result information is consistency information, the medical consumables in the medical consumables order are subjected to path planning calculation under the shortest time factor by using an intelligent transport cart to obtain a transportation route for the medical consumables; Through the RFID recycling box in the medical consumables transportation route, the label recycling process is performed on the drug information to be transported, and the extracted drug information is generated; The consistency of the data attribute items of the extracted drug information and the drug information to be extracted is judged to obtain second verification result information; if the second verification result information is verification passed information, the logistics scheduling of the medical consumables order is completed.

2. The in-hospital logistics scheduling method based on medical supplies according to claim 1, characterized in that: According to the medical consumables order, the medical consumables in the medical supplies warehouse are marked accordingly to obtain the information of the drugs to be extracted, including: Identify the RFID identification code and the quantity of each medical consumable in the medical consumable order; Based on the RFID identification code, a shelf query process is performed on the medical supplies warehouse to obtain shelf information corresponding to the RFID identification code; wherein the shelf information at least includes: area category, shelf number, number of shelf layers and single product serial number; Inputting the shelf information into the smart transport cart; According to the end point of the tracking route of the intelligent transport cart, the medical consumables corresponding to the shelf information are marked as to be picked up, and a list of medicines to be picked up is generated; wherein the list of medicines to be picked up is visually displayed information in the intelligent transport cart; Based on the predetermined volume of the intelligent transport cart and the number of the same category of the medical consumables order, the list of drugs to be picked up is divided into sections to determine the information of the drugs to be picked up for each of the intelligent transport carts.

3. The in-hospital logistics scheduling method based on medical supplies according to claim 1 is characterized in that: Through the preset wireless sensing equipment, the logistics of the dispatched drugs in the extracted drug information are monitored to generate the information of the drugs to be transported, including: After determining the drug information to be extracted from each intelligent transport cart, the extracted medical consumables are data sensed by the wireless sensing device on each shelf to obtain the dispatched drug information; wherein the dispatched drug information includes: drug type and drug quantity; Identify the transport number of the smart transport cart through the wireless sensing device; The transport number of the intelligent transport cart is integrated with the dispatched drug information to determine the drug information to be transported of each intelligent transport cart.

4. The in-hospital logistics scheduling method based on medical supplies according to claim 1, characterized in that: The consistency of the data attribute items of the drug information to be extracted and the drug information to be transported is judged to obtain first verification result information, which specifically includes: Obtaining the extraction data attribute item of each drug unit in the drug information to be extracted; identifying and extracting the transportation verification attribute item corresponding to the drug unit in the drug information to be transported; wherein the extraction data attribute item and the transportation verification attribute item both include at least: drug name, specification model, production batch number, unit quantity and expiration date; Establishing a mapping relationship table between the extracted data attribute items and the transport verification attribute items, wherein the mapping relationship table includes: field name correspondence and value type conversion rules; By using a preset hash check algorithm, feature extraction is performed on the extracted data attribute item and the transport verification attribute item respectively, and a first feature identification code and a second feature identification code are generated respectively; The first feature identification code and the second feature identification code are compared bit by bit to obtain the first verification result information; wherein the bit by bit rules include: the identification code length is the same and the first 8 check codes match, the number of difference bits matches the preset fault tolerance threshold, and the key field identification bits are completely consistent.

5. The in-hospital logistics scheduling method based on medical supplies according to claim 1 is characterized in that: After the consistency of the data attribute items of the drug information to be extracted and the drug information to be transported is determined to obtain first verification result information, the method further includes: If the first verification result information is consistency information, the RFID high-frequency induction door at the entrance of the medical supplies warehouse is controlled to be opened, and the intelligent transport cart is controlled to drive out; If the first verification result information is inconsistent information, the RFID high-frequency sensing door at the entrance of the medical supplies warehouse is controlled to be closed, and the corresponding staff is called for re-verification.

6. The in-hospital logistics scheduling method based on medical supplies according to claim 1 is characterized in that: If the first verification result information is consistency information, the medical consumables in the medical consumables order are subjected to path planning calculation under the shortest time factor through the intelligent transport cart to obtain a medical consumables transportation route, specifically including: Obtaining a real-time constraint parameter set of the current intra-hospital transportation environment; wherein the constraint parameter set includes: hospital building three-dimensional topological data, department demand time window, elevator operation status time series table and real-time obstacle avoidance sensor data stream; Based on the multi-source data in the real-time constraint parameter set, a dynamic path weight model is established; the constraints under the shortest time factor in the dynamic path weight model include: estimated travel time, time sensitivity coefficient, path conflict points, dynamic penalty factor, department distribution priority and drug priority; By using a dynamic path weight model, the constraint node weights of the medical consumables in the medical consumables order are calculated under the shortest time factor to obtain a path weight; Generate a number of transportation routes based on the path weights by using an ant colony optimization algorithm; A path plan with the highest comprehensive score among the several transportation routes is selected to be determined as the medical consumables transportation route.

7. The in-hospital logistics scheduling method based on medical supplies according to claim 1 is characterized in that: Through the RFID recycling box in the medical consumables transportation route, the label recycling process of the drug information to be transported is performed, and the extracted drug information is generated, which specifically includes: The medical consumables in the intelligent transport cart are delivered to the destination through the medical consumables transport route; Through the RFID recycling box, the RFID identification codes of all the medical consumables are identified and recorded, and the transportation number of the intelligent transportation cart is recorded; According to the information of the medicine to be transported, the RFID identification code and the transport number are subjected to label recycling processing to generate the extracted medicine information that has been received by the staff.

8. The in-hospital logistics scheduling method based on medical supplies according to claim 1 is characterized in that: The extracted drug information and the drug information to be extracted are subjected to consistency judgment of data attribute items to obtain second verification result information, which specifically includes: Obtaining extraction data attribute items of each drug unit in the drug information to be extracted; Identify and extract the acceptance verification attribute item corresponding to the drug unit in the extracted drug information; wherein the extracted data attribute item and the acceptance verification attribute item both include at least: drug name, specification model, production batch number, unit quantity and expiration date; The first characteristic identification code of the extracted data attribute item and the third characteristic identification code of the accepted verification attribute item are judged to be consistent with each other to obtain the second verification result information.

9. An in-hospital logistics dispatching device based on medical supplies, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the in-hospital logistics scheduling method based on medical supplies according to any one of claims 1-8.

10. A non-volatile computer storage medium, characterized in that: The storage medium is a non-volatile computer-readable storage medium, which stores at least one program, each of which includes instructions. When the instructions are executed by a terminal, the terminal executes an in-hospital logistics scheduling method based on medical supplies according to any one of claims 1-8.

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