A clinical pathway-based medical consumable intelligent consumption control system and method

Abstract

The application relates to a clinical-pathway-based intelligent medical consumable consumption control system and method, wherein the system comprises: a consumption control management data layer, which is used for performing heterogeneous data fusion between a hospital information system and a supply chain system through a standardized interface engine; a consumption control management rule layer, which is used for warning and controlling over-packaging behaviors of overuse of medical consumables on a clinical pathway from the quantity dimension and the amount dimension; and a consumption control management application layer, which is used for visually displaying charging item information of the over-packaging behaviors in the case of identifying the over-packaging behaviors. Through the application, fine control of medical resource consumption is realized, the architecture takes the clinical pathway as a benchmark, deeply couples medical behaviors and material consumption, innovatively constructs double-dimension dynamic control of quantity+amount, effectively avoids resource waste or insufficient supply caused by traditional single quantity limitation, and solves the problem of how to improve fine allocation of medical resources.

Description

Technical Field

[0001] This application relates to the field of resource management technology, and in particular to an intelligent system and method for controlling medical consumables based on clinical pathways. Background Technology

[0002] Traditional medical consumables management models have revealed significant shortcomings in clinical practice, mainly manifested in three core problems: high over-package rates, unbalanced cost distribution, and difficulties in traceability and control, which seriously restrict the refined allocation of medical resources.

[0003] Clinical data shows significant differences in over-commissioning rates across different disease types over a one-month period: The "total hip replacement" clinical pathway had 23 cases, with 4 exceeding the over-commissioning rate, a rate of approximately 17.39%; while the "chronic cholecystitis with gallstones (laparoscopic cholecystectomy)" pathway saw 157 exceeding the over-commissioning rate out of 224 cases, a rate as high as 70.8%, reflecting the ineffectiveness of traditional management models in controlling high-cost diseases. Furthermore, there is a clear misallocation of resources for these two types of surgeries, resulting in structural loopholes in surgical costs.

[0004] It is evident that the existing management system is insufficient to meet the development needs of standardized clinical pathways and cost control, and there is an urgent need to build an intelligent cost control management system to fill the technological gap.

[0005] Currently, no effective solution has been proposed for the problem of how to improve the precise allocation of medical resources in related technologies. Summary of the Invention

[0006] This application provides a smart medical consumables control system and method based on clinical pathways, which at least addresses the problem of how to improve the refined allocation of medical resources in related technologies.

[0007] In a first aspect, embodiments of this application provide a smart consumables control system based on clinical pathways, the system comprising a consumables control management data layer, a consumables control management rule layer, and a consumables control management application layer; The consumption control management data layer is used to perform heterogeneous data fusion between the hospital information system and the supply chain system through a standardized interface engine; The aforementioned consumption control management rule layer is used to provide early warnings and control over-packing behavior of excessive use of medical consumables in clinical pathways from both quantitative and monetary dimensions. The consumption control management application layer is used to visually display the charging information of the over-package behavior when the over-package behavior is detected.

[0008] In some embodiments, the consumption control management data layer is used to establish a unified data dictionary between heterogeneous data of the hospital information system and the supply chain system, so as to map and manage the billing item codes of the hospital information system and the material codes of the supply chain system.

[0009] In some embodiments, the consumption control management data layer is used to monitor the material outbound table of the supply chain system in real time through triggers, and to trigger data synchronization between the hospital information system and the supply chain system when an INSERT operation is detected in the material outbound table; Set up a scheduled task, and use the second-level polling mechanism of the scheduled task to compensate and synchronize asynchronous data that the trigger did not capture.

[0010] In some embodiments, the consumption control management rule layer is used to warn and control over-packing behavior of excessive use of medical consumables in clinical pathways through preset control modes, wherein the preset control modes include basic control modes and enhanced control modes.

[0011] In some embodiments, the consumption control management rule layer is used to run the basic control mode to enable early warning control in the quantity dimension. When the actual usage of medical consumables for a billing item exceeds the standard quantity specified in the clinical pathway, an early warning control for over-package behavior is triggered.

[0012] In some embodiments, the consumption control management rule layer is used to run the enhanced control mode to enable early warning and control in both quantity and amount dimensions. It prioritizes detecting whether the actual usage quantity of medical consumables for chargeable items exceeds the limit, and then detects whether the amount ratio of the chargeable items exceeds the limit. The combined detection of exceeding the limit in both quantity and amount dimensions triggers early warning and control for over-spending behavior.

[0013] In some embodiments, the consumption control management rule layer is used to trigger a prompt-level early warning control when the actual usage quantity of medical consumables for chargeable items exceeds the limit by less than 5%, to trigger a warning-level early warning control when the actual usage quantity exceeds the limit by 5%-20%, and to trigger an interception-level early warning control when the actual usage quantity exceeds the limit by more than 20%. If the amount of the chargeable item exceeds the limit by less than 5%, a prompt-level early warning control is triggered; if the amount exceeds the limit by 5%-20%, a warning-level early warning control is triggered; and if the amount exceeds the limit by more than 20%, an interception-level early warning control is triggered. The highest-level early warning control triggered in the quantity and amount dimensions is selected as the final early warning control for over-package behavior.

[0014] In some embodiments, the consumption control management application layer is used to visually display the charging information of the over-package behavior when the over-package behavior is detected, and to force the user to fill in the reason for the over-package behavior; Automatically retrieve medical consumables within the clinical pathway of the overuse behavior, identify alternative consumables for the overused medical consumables, and sort and display them according to cost-effectiveness ratio; By reviewing the fee information and reasons for the over-package behavior, it is determined whether the over-package behavior is allowed to be executed.

[0015] Secondly, embodiments of this application provide a method for intelligent consumption control of medical consumables based on clinical pathways. The method is executed based on the system described in the first aspect above, and the method includes: Through a standardized interface engine, heterogeneous data fusion between hospital information systems and supply chain systems is performed. Early warning and control measures should be implemented to prevent and manage overuse of medical consumables in clinical pathways, taking into account both quantitative and monetary dimensions. Upon detecting the over-package behavior, the charging information for the over-package behavior is displayed visually.

[0016] Thirdly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the second aspect above.

[0017] Compared to related technologies, this application provides a smart medical consumables consumption control system and method based on clinical pathways. The system includes: a consumption control management data layer, used to perform heterogeneous data fusion between hospital information systems and supply chain systems through a standardized interface engine; a consumption control management rule layer, used to provide early warning and control of over-purchasing behavior of medical consumables in clinical pathways from both quantity and monetary dimensions; and a consumption control management application layer, used to visually display the charging information of over-purchasing behavior when it is identified. Through this system, refined control of medical resource consumption is achieved. This architecture, based on clinical pathways, deeply couples medical behavior with material consumption, innovatively constructing a dual-dimensional dynamic control of quantity and monetary value, effectively avoiding resource waste or insufficient supply caused by traditional single quantity restrictions, and solving the problem of how to improve the refined allocation of medical resources. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1This is a structural block diagram of a clinical pathway-based intelligent medical consumables control system according to an embodiment of this application; Figure 2 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0020] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0021] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0022] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0023] Regarding existing medical consumables management solutions, patent publication number CN118262887A discloses a method for controlling medical consumables, specifically analyzing the deviation between current consumables data and historical consumables data to determine whether abnormal use of surgical consumables has occurred. Patent publication number CN118262887A also discloses a high-value medical consumables management system, specifically using unique device identifiers to perform end-to-end traceability of high-value consumables, enabling inventory management, usage tracking, and replenishment decisions for high-value consumables. Compared to these existing solutions, the intelligent consumables control system based on clinical pathways provided in this application, through the following embodiments, overcomes the limitations of prior art 1, which only uses historical data deviation analysis (a single quantitative dimension), and solves the technical deficiency of prior art 2, which only achieves high-value consumables traceability (without monetary warnings and consumables replacement recommendations).

[0024] This application provides an intelligent medical consumables control system based on clinical pathways. Figure 1 This is a structural block diagram of a clinical pathway-based intelligent medical consumables control system according to an embodiment of this application, as shown below. Figure 1 As shown, the system includes a consumption control management data layer, a consumption control management rule layer, and a consumption control management application layer; The consumption control management data layer is used to perform heterogeneous data fusion between the hospital information system and the supply chain system through a standardized interface engine; Specifically, the consumption control management data layer is used to establish a unified data dictionary between the heterogeneous data of the hospital information system and the supply chain system, so as to map and manage the billing item codes of the hospital information system and the material codes of the supply chain system.

[0025] This system is used to monitor the material outbound table of the supply chain system in real time via triggers. When an INSERT operation is detected in the material outbound table, it triggers data synchronization between the hospital information system and the supply chain system. A scheduled task is also set up to compensate for and synchronize asynchronous data that was not captured by the trigger through a second-level polling mechanism.

[0026] It should be noted that the cost control management data layer, as the system foundation, enables the integration of heterogeneous data between the Hospital Information System (HIS) and the Supply Chain Management (SPD) system. Through a standardized interface engine, it performs real-time cross-validation and two-way verification between clinical data such as billing item codes, patient diagnosis information, and surgical procedures from the HIS and material receipt records, outbound details, and billing data from the SPD system. Its key technologies include: First, a unified data dictionary was established to map HIS billing item codes to SPD material codes, ensuring consistent matching of attributes such as item name, specifications, and unit. Secondly, a time-series data synchronization mechanism is adopted, which combines triggers and scheduled tasks to achieve real-time capture of material consumption data during surgery and dynamic updates of clinical pathway execution status. Specifically, database triggers (DML triggers) can be used to monitor INSERT operations in the SPD system's material outbound table, synchronously triggering application-layer triggers (based on the Spring Event mechanism) to perform data synchronization; scheduled tasks use a second-level (10 seconds / time) polling mechanism to compensate for asynchronous data not captured by the triggers; in the dynamic update of the clinical pathway execution status in HIS, the system default status is "in execution". When the actual usage of a certain consumable reaches 90% of the standard quantity of the pathway, the status changes to "warning". When the standard quantity is exceeded, the status is updated to "over-package warning" and automatically associated with the over-package item details.

[0027] In addition, the consumption control management data layer also has a data synchronization anomaly handling mechanism, establishing a three-level retry mechanism (instant retry, 5-minute delay retry, and 30-minute delay retry). Data that fails to synchronize is automatically stored in a backup table, and a local caching mode is enabled when the system is downgraded to ensure that clinical operations are not affected by the data layer. The consumption control management data layer also has a quality monitoring mechanism to automatically clean missing and outlier values, ensuring the reliability of the data source for consumption control analysis.

[0028] The consumption control management rule layer is used to provide early warnings and control over-packaging behavior of excessive use of medical consumables in clinical pathways from both quantitative and monetary dimensions. Specifically, the consumption control management rule layer is used to warn and control over-packing behavior of excessive use of medical consumables in clinical pathways through preset control modes. The preset control modes include basic control mode and enhanced control mode.

[0029] Preferably, the consumption control management rule layer is used to run the basic control mode to enable early warning and control in the quantity dimension. When the actual usage of medical consumables for billing items exceeds the standard quantity specified in the clinical pathway, an early warning and control of over-purchasing behavior is triggered.

[0030] Preferably, the consumption control management rule layer is used to run the enhanced control mode, enabling early warning and control based on both quantity and amount dimensions. It prioritizes detecting whether the actual usage quantity of medical consumables for chargeable items exceeds the limit, and then checks whether the amount of chargeable items exceeds the limit. This combined detection of exceeding limits in both quantity and amount dimensions triggers early warning and control for over-purchasing behavior. Specifically: If the actual usage quantity of medical consumables for a chargeable item exceeds the limit by less than 5%, a prompt-level warning control is triggered; if the actual usage quantity exceeds the limit by 5%-20%, a warning-level warning control is triggered; and if the actual usage quantity exceeds the limit by more than 20%, an interception-level warning control is triggered. Similarly, if the amount of a chargeable item exceeds the limit by less than 5%, a prompt-level warning control is triggered; if the amount exceeds the limit by 5%-20%, a warning-level warning control is triggered; and if the amount exceeds the limit by more than 20%, an interception-level warning control is triggered. The highest level of warning control triggered in the quantity and amount dimensions is selected as the final warning control for overcharging behavior.

[0031] It should be noted that the core of the consumption control management rule layer lies in implementing a two-dimensional control logic of quantity matching and cost limits, accurately identifying consumption behaviors exceeding clinical pathways through a priority algorithm. The system has two preset control modes: in the basic mode, an alert is triggered when the actual usage of a certain item exceeds the standard quantity for the pathway; in the enhanced mode, both quantity thresholds and cost percentages are simultaneously verified. When the cost percentage of a single item exceeds 15% of the total cost of the pathway, a level two alert will be triggered even if the quantity is not exceeded. The algorithm priority logic is set as follows: quantity exceeding the limit takes precedence over cost exceeding the limit, and non-replaceable consumables exceeding the limit takes precedence over replaceable consumables.

[0032] To illustrate, consider the following: 1. Real-time comparison: During surgery, material requisition uses a real-time barcode scanning requisition mode. The system triggers synchronous verification when consumables are issued, retrieving the standard values ​​corresponding to the clinical pathway; 2. Rule judgment: First, it checks whether the quantity exceeds the limit, then calculates whether the amount percentage exceeds the limit; 3. Warning classification: Based on the excess percentage (less than 5% is the prompt level, 5%-20% is the warning level, and more than 20% is the interception level), it generates intervention instructions for early warning control. The intervention instructions include: the name of the excess consumable, the rule quantity, the actual requisition quantity, the excess percentage, the warning level, and the handling suggestion. Example: {"Consumable Name":"Hemostatic Gauze","Rule Quantity":5 pieces,"Actual Requisition Quantity":7 pieces,"Excess Percentage":40%,"Warning Level":"Interception Level","Handling Suggestion":"Requires approval from the department head before issuance"}. The intervention instructions are the internal data structure of the system, and the prompt window is its visual presentation, with a mapping relationship (warning level → color coding: prompt level - blue, warning level - yellow, interception level - red). Data flow process: After the intervention command is generated, it is parsed by the rule engine into data for front-end display, which drives the display of prompt windows. The user's operation results are fed back to the system database to update the process status through the API interface.

[0033] Taking cholecystitis surgery as an example, the system sets the number of "non-absorbable ligation clips" to 0. When they are actually used, an over-package warning is triggered. In the first month after the rule was implemented in a tertiary hospital, it blocked 116 unnecessary uses, directly reducing the cost of consumables per surgery by about 820 yuan.

[0034] The consumption control management application layer is used to visually display the charging information for over-package behavior when over-package behavior is detected.

[0035] Specifically, the consumption control management application layer is used to visually display the billing information of the over-billing behavior when over-billing behavior is identified, and to force the user to fill in the reason for the over-billing behavior; automatically retrieve the medical consumables in the clinical pathway of the over-billing behavior, identify the alternative consumables for the over-used medical consumables, and sort and display them according to cost-effectiveness ratio; and determine whether to allow the execution of the over-billing behavior by reviewing the billing information and reasons for the over-billing behavior.

[0036] It's important to note that the consumables management application layer constructs a closed-loop management mechanism covering the entire process from over-requisition alerts to approval, achieving seamless control through embedded clinical workflows. When the system identifies over-requisition behavior, a prompt window immediately pops up on the doctor's workstation, displaying the name of the over-requisitioned item, the standard quantity, the actual requisitioned quantity, and the discrepancy percentage, and mandates the submission of a reason for the over-requisition (such as special medical conditions, complication management, etc.). After the reason is submitted, the system automatically pushes it to the department's quality control officer for review. Only after approval can requisition continue; if the review fails, it returns to the doctor's end with a suggestion to replace it with an alternative solution within the workflow. The average processing time for this process is controlled within 90 seconds, ensuring both flexibility in medical decision-making and rigid constraints in consumables management. Data from a pilot hospital shows that this closed-loop process increased the clinical workflow compliance rate from 68% to 92%, and reduced the average daily inpatient consumption of consumables by 18.3%.

[0037] For example, the system also provides objective alternative recommendations based on DRG grouping data: it automatically searches for alternative consumables within the same disease pathway and displays them sorted by cost-effectiveness ratio. For instance, when "absorbable hemostatic gauze (1953 / Johnson & Johnson)" is overstocked, the system automatically recommends "gelatin sponge" as an alternative and quantifies the cost difference between the two (absorbable hemostatic gauze costs 1200 yuan per pack, gelatin sponge costs 380 yuan per pack, and the cost difference is 820 yuan per surgery).

[0038] The system provided in this application innovatively constructs a dynamic control model based on a dual dimension of "quantity + amount," enabling flexible adjustment of consumable usage through an upper limit mode. In scenarios with significant fluctuations in consumable demand, such as total hip surgery, the system allows for flexible adjustment of consumable quantities within a preset upper limit, effectively avoiding resource waste or supply shortages caused by traditional single-quantity restrictions. This dynamic adjustment mechanism enables clinical departments to optimize consumable configuration based on individual patient differences while ensuring medical quality, improving resource utilization efficiency by 15%-20% compared to traditional static control models.

[0039] Furthermore, the system can intelligently integrate quantity matching and cost proportion judgment through a dynamic weighting algorithm. The core logic is as follows: when the surgical complexity RW value is ≥2, the cost weight automatically increases to 60%, and the quantity weight decreases to 40%; when the RW value is <2, the quantity weight is 60%, and the cost weight is 40%. This algorithm dynamically adjusts the priority of control dimensions by calling the RW value parameter in the DRG grouping system in real time, allowing high-complexity surgeries to have greater flexibility in cost, while routine surgeries maintain stricter quantity control. For example, in total hip replacement surgery (RW=2.3), the system prioritizes monitoring whether the total cost exceeds the path standard, allowing adjustments to the quantity combination of different consumables within the cost limit; while in laparoscopic cholecystectomy (RW=1.5), the focus is on controlling the quantity exceeding the limit of a single item to ensure the standardized use of basic consumables.

[0040] In other words, the system's "control-analysis-optimization" closed-loop system, built through technological innovation, not only meets the current needs of DRG / DIP payment reform but also provides a reusable data governance paradigm for the future construction of smart hospitals. Its core value lies in organically combining the standardized advantages of clinical pathways with the refined needs of consumable management, balancing the contradictory relationship between medical quality and cost control through technological means.

[0041] At the hospital operations and management level, the system shifts from a "use-and-calculate" model to a "calculate-and-use" model, accurately predicting the cost of individual diseases and surgeries, effectively reducing hospital operating costs. Its economic value is particularly prominent, as the savings in consumable costs directly translate into hospital surpluses, creating a virtuous cycle of profit conversion and opening up new revenue growth points for hospitals under the pressure of medical insurance payments.

[0042] In terms of medical insurance cost control, the system helps to reduce unreasonable expenditures on consumables, thus facilitating the efficient use of medical insurance funds. Regarding the standardization of medical quality, the system enables the unification of clinical protocols across departments and doctors, ensuring consistency in medical service standards. Simultaneously, its secure and traceable features ensure that medical procedures are traceable throughout the entire process, providing data support for medical quality assessment.

[0043] This application provides a method for intelligent consumption control of medical consumables based on clinical pathways. The method is executed based on the system provided in the above embodiments and includes the following steps: Step S1: Perform heterogeneous data fusion between the hospital information system and the supply chain system through a standardized interface engine; Step S2 involves issuing warnings and controlling over-purchasing of medical consumables in clinical pathways from both quantitative and monetary perspectives. Step S3: If over-package behavior is detected, visualize the charging information for the over-package behavior.

[0044] It should be noted that the steps shown in the above process or in the flowchart of the accompanying figures can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0045] This embodiment provides an electronic device, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the steps in the method embodiment described above.

[0046] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0047] Optionally, the electronic device may further include a processor, memory, network interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a clinical pathway-based intelligent consumption control method for medical consumables. The display screen may be an LCD screen or an e-ink screen. The input device may be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the device's casing, or an external keyboard, touchpad, or mouse.

[0048] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0049] Furthermore, in conjunction with the intelligent consumption control method for medical consumables based on clinical pathways in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores a computer program; when the computer program is executed by a processor, it implements the intelligent consumption control method for medical consumables based on clinical pathways in the above embodiments.

[0050] In one embodiment, Figure 2 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application, such as... Figure 2 As shown, an electronic device is provided, which can be a server, and its internal structure diagram can be as follows. Figure 2 As shown, the electronic device includes a processor, a network interface, internal memory, and non-volatile memory connected via an internal bus. The non-volatile memory stores the operating system, computer programs, and a database. The processor provides computing and control capabilities, the network interface communicates with external terminals via a network, the internal memory provides an environment for the operating system and computer programs to run, the computer programs are executed by the processor to implement a clinical pathway-based intelligent consumption control method for medical consumables, and the database stores data.

[0051] Those skilled in the art will understand that Figure 2 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. A specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0052] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, 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. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0053] Those skilled in the art should understand that the technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been 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.

[0054] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A smart consumption control system for medical consumables based on clinical pathways, characterized in that, The system includes a data layer for energy control management, a rule layer for energy control management, and an application layer for energy control management. The consumption control management data layer is used to perform heterogeneous data fusion between the hospital information system and the supply chain system through a standardized interface engine; The aforementioned consumption control management rule layer is used to provide early warnings and control over-packing behavior of excessive use of medical consumables in clinical pathways from both quantitative and monetary dimensions. The consumption control management application layer is used to visually display the charging information of the over-package behavior when the over-package behavior is detected.

2. The system according to claim 1, characterized in that, The consumption control management data layer is used to establish a unified data dictionary between the heterogeneous data of the hospital information system and the supply chain system, so as to map and manage the billing item codes of the hospital information system and the material codes of the supply chain system.

3. The system according to claim 2, characterized in that, The consumption control management data layer is used to monitor the material outbound table of the supply chain system in real time through triggers. When an INSERT operation is detected in the material outbound table, the data synchronization between the hospital information system and the supply chain system is triggered. Set up a scheduled task, and use the second-level polling mechanism of the scheduled task to compensate and synchronize asynchronous data that the trigger did not capture.

4. The system according to claim 1, characterized in that, The consumption control management rule layer is used to warn and control over-packing behavior of excessive use of medical consumables in clinical pathways through preset control modes. The preset control modes include basic control mode and enhanced control mode.

5. The system according to claim 4, characterized in that, The consumption control management rule layer is used to run the basic control mode to enable early warning and control in terms of quantity. When the actual usage of medical consumables for a billing item exceeds the standard quantity specified in the clinical pathway, an early warning and control for over-billing behavior is triggered.

6. The system according to claim 4, characterized in that, The consumption control management rule layer is used to run the enhanced control mode to enable early warning and control in both quantity and amount dimensions. It prioritizes detecting whether the actual usage quantity of medical consumables for chargeable items exceeds the limit, and then detects whether the amount ratio of the chargeable items exceeds the limit. The combined detection of exceeding the limit in both quantity and amount dimensions triggers early warning and control for over-package behavior.

7. The system according to claim 6, characterized in that, The consumption control management rule layer is used to trigger a prompt-level early warning control when the actual usage quantity of medical consumables for chargeable items exceeds the limit by less than 5%, to trigger a warning-level early warning control when the actual usage quantity exceeds the limit by 5%-20%, and to trigger an interception-level early warning control when the actual usage quantity exceeds the limit by more than 20%. If the amount of the chargeable item exceeds the limit by less than 5%, a prompt-level early warning control is triggered; if the amount exceeds the limit by 5%-20%, a warning-level early warning control is triggered; and if the amount exceeds the limit by more than 20%, an interception-level early warning control is triggered. The highest-level early warning control triggered in the quantity and amount dimensions is selected as the final early warning control for over-package behavior.

8. The system according to claim 1, characterized in that, The consumption control management application layer is used to visually display the charging information of the over-package behavior when the over-package behavior is detected, and to force the user to fill in the reason for the over-package behavior. Automatically retrieve medical consumables within the clinical pathway of the overuse behavior, identify alternative consumables for the overused medical consumables, and sort and display them according to cost-effectiveness ratio; By reviewing the fee information and reasons for the over-package behavior, it is determined whether the over-package behavior is allowed to be executed.

9. A method for intelligent consumption control of medical consumables based on clinical pathways, characterized in that, The method is performed based on the system according to any one of claims 1 to 8, and the method includes: Through a standardized interface engine, heterogeneous data fusion between hospital information systems and supply chain systems is performed. Early warning and control measures should be implemented to prevent and manage overuse of medical consumables in clinical pathways, taking into account both quantitative and monetary dimensions. Upon detecting the over-package behavior, the charging information for the over-package behavior is displayed visually.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in claim 9.

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