Charging comparison system based on consumption of medical consumables

By comparing HIS and SPD data in real time through the comparison engine and difference analysis module, the problem of mismatch between consumable billing and consumption data has been solved, enabling real-time feedback and hierarchical alarms, thereby improving the accuracy and efficiency of hospital consumable management.

CN121146752APending Publication Date: 2025-12-16HUNAN ZHIXIN RUICHEN INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202511258649.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-04
Publication Date
2025-12-16

AI Technical Summary

Technical Problem

Existing technologies cannot match and provide real-time feedback between hospital consumable billing data and actual consumption data, leading to management errors, lack of timely warning mechanisms, and inability to meet actual needs.

Method used

The comparison engine synchronizes HIS billing data and SPD outbound data in real time. Anomalies are identified by consumable codes, batch numbers and expiration periods. An analysis report is generated by the difference analysis module and uploaded to the cloud. An active alarm module is set up to provide tiered alarms.

Benefits of technology

It enables real-time comparison and anomaly feedback of consumable data, improves management efficiency, ensures data matching accuracy, and promptly alerts management personnel.

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Abstract

The invention provides a charging comparison system based on medical consumable consumption, and relates to the technical field of medical consumable supervision, and is characterized in that the system comprises a comparison engine and a difference analysis module, the comparison engine can record HIS charging data and SPD warehouse-out data which are pushed in real time, the data are subjected to multi-dimensional matching after standardized data processing, and the difference analysis module is used for analyzing the difference of the HIS charging data and the SPD warehouse-out data. And the difference analysis module performs result comparison with information recorded by the storage end, receives comparison data uploaded by a comparison engine, automatically generates an analysis report after analyzing reasons, trends and accountability suggestions according to an input rule knowledge base, and uploads the analysis report to the cloud end, and the cloud end sends data to corresponding management personnel. And if the difference data security threshold is exceeded, an alarm signal is generated at the same time. The method has the advantages that the abnormal use information of the medical consumables can be quickly summarized and obtained, data arrangement is carried out, the data are transmitted back to an administrator for analysis and reminding, and meanwhile, the abnormal information can be actively obtained to give an alarm.
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Description

Technical Field

[0001] This invention relates to the field of medical consumables supervision technology, and in particular to a billing comparison system based on medical consumables consumption. Background Technology

[0002] Currently, hospitals commonly use HIS (Hospital Information System) to manage consumable billing and SPD (Supply-Process-Distribution) systems to manage consumable inventory. These two systems can only verify data set independently, failing to match actual usage. This leads to discrepancies between billing and actual consumption data, impacting hospital consumable management. Existing technologies often process two sets of data within a single time period, and the tedious verification process often fails to provide real-time feedback to relevant management personnel, lacking corresponding alerts and warnings. Therefore, timely processing is impossible, failing to meet actual usage needs. Summary of the Invention

[0003] The purpose of this invention is to provide a billing comparison system based on medical consumable consumption, which solves the technical problem in the prior art that it is impossible to fully match and verify billing data with actual usage data and provide timely feedback and warnings. This invention achieves the technical effect of efficiently matching the two sets of data and providing real-time feedback and warning processing.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows:

[0005] A billing comparison system based on medical consumable consumption includes a comparison engine and a difference analysis module. The comparison engine records real-time pushed HIS billing data and SPD outbound data. After standardized data processing, this data undergoes multi-dimensional matching and is compared with the information recorded on the storage end. The comparison engine determines whether the information is abnormal based on the consumable code, batch number, and expiration period. The difference analysis module receives the comparison data uploaded by the comparison engine, analyzes the causes, trends, and attribution suggestions based on the entered rule knowledge base, automatically generates an analysis report, and uploads it to the cloud. The cloud then sends the data to the corresponding management personnel. If the difference data exceeds the safety threshold, an alarm signal is generated simultaneously.

[0006] As an improvement, the comparison engine can synchronize HIS billing data and SPD outbound data in real time via API interface. The HIS billing data includes patient usage records and billing details, and the SPD outbound data includes outbound records and inventory flow.

[0007] As an improvement, the comparison engine will match the billing amount and consumption amount one by one according to the patient, department, consumable category and time dimension information.

[0008] As an improvement, the proactive alarm module will classify abnormal data information into three levels: precise classification, lenient classification, and manual review classification. The precise classification records data information of high-value consumables, which requires verification of the consumable code, batch number, and expiration date. The lenient classification records data information of low-value consumables, which requires verification of the consumable code, batch number, and expiration date within a time period. The manual review classification records data information where the difference exceeds a preset threshold, which requires secondary verification of the data content before being submitted to a human terminal for review.

[0009] The beneficial effects of this invention are as follows: by setting up a comparison engine, billing and consumption data obtained from the HIS system and SPD system can be collected and acquired in real time, and efficient comparison can be performed based on the actual data. By setting up a difference analysis module, the data information that has been compared and processed can be further identified to determine whether the data is abnormal. Data that exceeds the preset range can be displayed and alarmed to the management personnel through the terminal, thereby improving the management effect of consumables. Attached Figure Description

[0010] Figure 1 This is a structural block diagram of a billing comparison system based on medical consumable consumption according to the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0012] It should be noted that the terms "first" and "second" in this application are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0013] like Figure 1As shown, a billing comparison system based on medical consumable consumption includes a comparison engine and a difference analysis module. The comparison engine records real-time pushed HIS billing data and SPD outbound data. After standardized data processing, this data undergoes multi-dimensional matching and is compared with the information recorded on the storage end. The comparison engine determines whether the information is abnormal based on the consumable code, batch number, and expiration period. The difference analysis module receives the comparison data uploaded by the comparison engine and, based on the entered rule knowledge base, analyzes the causes, trends, and accountability suggestions, automatically generating an analysis report and uploading it to the cloud. The cloud then sends the data to the corresponding management personnel. If the difference data exceeds the safety threshold, an alarm signal is generated simultaneously. The difference analysis module can connect to the blockchain to obtain the usage status of different devices and record the corresponding responsible or user personnel.

[0014] The comparison engine can synchronize HIS billing data and SPD outbound data in real time via an API interface. The HIS billing data includes patient usage records and billing details, while the SPD outbound data includes outbound records and inventory flow statements. The comparison engine will match billing volume and consumption volume one by one according to patient, department, consumable category, and time dimension information. The comparison engine can store historical data in Parquet format, which facilitates timely identification of abnormal data sources in subsequent comparisons and improves overall processing efficiency.

[0015] The proactive alarm module categorizes abnormal data into three levels: precise categorization, lenient categorization, and manual review categorization. Precise categorization records high-value consumable data, requiring verification of the consumable code, batch number, and expiration date. Lenient categorization records low-value consumable data, requiring verification of the consumable code, batch number, and expiration date within a given time period. Manual review categorization records data where discrepancies exceed a preset threshold, requiring secondary verification before manual review. The discrepancy analysis module can further improve analysis speed by combining pre-aggregation, incremental calculation, and in-memory analysis techniques, thereby achieving efficient data processing and facilitating personnel observation.

[0016] When in use, administrators can directly limit the data acquisition range by pre-setting the required information in the table, thereby accurately obtaining updated data and reducing the computational burden. At the same time, it does not require code modification and is convenient for use in different situations. When the difference analysis module analyzes abnormal data, it will automatically generate corresponding table data and send it back to the user terminal. At the same time, the alarm module will be activated to provide alarm data information to the administrator and remind them to handle it. The active alarm module will issue graded alarms based on the value of consumables and the duration of the problem, prompting personnel to handle it.

[0017] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A billing comparison system based on medical consumable consumption, characterized in that, It includes a comparison engine and a difference analysis module. The comparison engine records real-time pushed HIS billing data and SPD outbound data. After standardized data processing, this data undergoes multi-dimensional matching and is compared with the information recorded on the storage side. The comparison engine determines whether it is classified as abnormal information by consumable code, batch number, and expiration period. The difference analysis module receives the comparison data uploaded by the comparison engine, analyzes the causes, trends, and attribution suggestions based on the entered rule knowledge base, automatically generates an analysis report, and uploads it to the cloud. The cloud then sends the data to the corresponding management personnel. If the difference data exceeds the safety threshold, an alarm signal will be generated simultaneously.

2. The billing comparison system based on medical consumable consumption according to claim 1, characterized in that, The comparison engine can synchronize HIS billing data and SPD outbound data in real time through the API interface. The HIS billing data includes patient usage records and billing details, and the SPD outbound data includes outbound records and inventory flow.

3. The billing comparison system based on medical consumable consumption according to claim 1, characterized in that, The comparison engine will match the billing amount and consumption amount one by one according to the patient, department, consumable category and time dimension information.

4. The billing comparison system based on medical consumable consumption according to claim 1, characterized in that, The proactive alarm module classifies abnormal data information into three levels: precise classification, lenient classification, and manual review classification. Precise classification records data information of high-value consumables, requiring verification of consumable codes, batch numbers, and expiration dates. Lenient classification records data information of low-value consumables, requiring verification of consumable codes, batch numbers, and expiration dates within a time period. Manual review classification records data information where discrepancies exceed a preset threshold, requiring secondary verification of the data content before being submitted to a human terminal for review.