+

CN119626482A - An intelligent management system for clinical department warehouse consumables - Google Patents

An intelligent management system for clinical department warehouse consumables Download PDF

Info

Publication number
CN119626482A
CN119626482A CN202411688681.5A CN202411688681A CN119626482A CN 119626482 A CN119626482 A CN 119626482A CN 202411688681 A CN202411688681 A CN 202411688681A CN 119626482 A CN119626482 A CN 119626482A
Authority
CN
China
Prior art keywords
consumables
consumable
data
demand
inventory
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202411688681.5A
Other languages
Chinese (zh)
Inventor
王启超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
6th Medical Center of PLA General Hospital
Original Assignee
6th Medical Center of PLA General Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 6th Medical Center of PLA General Hospital filed Critical 6th Medical Center of PLA General Hospital
Priority to CN202411688681.5A priority Critical patent/CN119626482A/en
Publication of CN119626482A publication Critical patent/CN119626482A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Human Resources & Organizations (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Operations Research (AREA)
  • Accounting & Taxation (AREA)
  • Biomedical Technology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

本发明公开了一种临床科室库房耗材智能管理系统，涉及医院耗材管理技术领域，传统的耗材管理方式往往依赖人工记录和手动管理，容易出现数据遗漏和不准确的情况，这不仅导致耗材使用情况难以追踪，还可能造成补货时机的不准确，从而影响医疗服务效率，本系统通过RFID标签和区块链记录模块实现了耗材的全生命周期追踪，确保了数据的真实性和完整性，降低了因信息不对称导致的管理风险，并且实时监测耗材库存情况和耗材需求预测，自动评估当前库存水平与安全库存阈值的关系，发出预警，避免了因库存不足导致的医疗服务效率降低，并且自动生成补货订单传输至相关部门，减少了人工干预的需要，提高了整个补货流程的效率和准确性。

The present invention discloses an intelligent management system for clinical department warehouse consumables, which relates to the technical field of hospital consumables management. Traditional consumables management methods often rely on manual records and manual management, which are prone to data omissions and inaccuracies, which not only makes it difficult to track the use of consumables, but also may cause inaccurate replenishment timing, thereby affecting the efficiency of medical services. The system realizes the full life cycle tracking of consumables through RFID tags and blockchain recording modules, ensures the authenticity and integrity of data, reduces management risks caused by information asymmetry, and monitors the inventory status of consumables and the forecast of consumables demand in real time, automatically evaluates the relationship between the current inventory level and the safety inventory threshold, issues early warnings, avoids the reduction of medical service efficiency due to insufficient inventory, and automatically generates replenishment orders and transmits them to relevant departments, reducing the need for manual intervention and improving the efficiency and accuracy of the entire replenishment process.

Description

Intelligent management system for consumables of clinical department storeroom
Technical Field
The invention relates to the technical field of hospital consumable management, in particular to an intelligent management system for consumable materials in a clinical department warehouse.
Background
In the modern medical field, along with the continuous progress of technology, hospital management gradually develops to intelligent, digital direction, especially in the aspect of supply chain management, clinical department storehouse is as the important component of hospital material management, has born a large amount of consumptive material management tasks, and in the technical field of hospital consumptive material management, accurate management and the real-time supervision of consumptive material are vital, relate to effective use and the supply of all kinds of medical appliances, medicines and consumables.
However, many hospitals still face many challenges in consumable management at present, mainly show on that information tracking is unsmooth and the replenishment mechanism is imperfect, traditional consumable management mode often relies on manual record and manual management, the condition that data omission and inaccuracy appear easily, this not only leads to consumable service condition to be difficult to track, but also can lead to the inaccuracy of replenishment opportunity, thereby influence continuity and efficiency of medical service, the production of these problems, the lack of importance of real-time and accuracy of consumable data, and then lead to confusion and resource waste of inventory management, for example, the hysteresis of consumable use record can make inventory level not in time update, lead to the hospital to face consumable shortage at key moment, influence medical work and normally go on, simultaneously, because of data inconsistency, can appear leaking the pricing condition at financial settlement, cause economic loss, these anomaly effects not only influence the operation efficiency of hospital, also reduce patient's service experience, consequently, it is important to introduce block chain tracking system and intelligent replenishment mechanism, can effectively solve these problems especially.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent management system for consumable materials in a warehouse of a clinical department, which solves the problems in the background art.
The intelligent management system for consumable supplies of the clinical department storeroom comprises a data acquisition module, a blockchain recording module, a consumable data analysis module, a dynamic demand prediction module, a consumable stock early warning module and an intelligent replenishment module;
The data acquisition module is used for providing consumable materials with RFID tags, acquiring consumable material data by using an RFID tag reader, transmitting the acquired consumable material data to the central data processing platform in real time through a wireless network, preprocessing the acquired consumable material data, and constructing a consumable material data set;
The blockchain recording module is used for deploying blockchain nodes on an IT infrastructure of a clinical department of a hospital, integrating a blockchain platform with a database of the clinical department of the hospital and an RFID system, writing intelligent contracts, encrypting consumable data to generate a unique hash value, and storing the encrypted consumable data in the blockchain platform;
The consumable data analysis module is used for acquiring a consumable demand fluctuation coefficient CV according to consumable data stored in the block chain platform, presetting a consumable stock quantity service level coefficient Z, and acquiring a consumable safety stock quantity AQ according to the consumable stock quantity service level coefficient Z and the consumable demand fluctuation coefficient CV;
the demand prediction module is used for constructing a consumable demand prediction model and acquiring consumable demand XQ t at a future time point t;
The inventory early warning module is used for monitoring consumable data of a clinical department store in real time, acquiring real-time consumable stock KC, comparing and analyzing the real-time consumable stock KC with consumable safety stock AQ, and evaluating consumable stock level;
The intelligent replenishment module is used for obtaining consumable replenishment quantity BH according to consumable demand XQ in future time obtained through prediction of real-time consumable stock KC and consumable demand prediction models, transmitting the consumable replenishment quantity BH to the blockchain platform, triggering intelligent contracts, generating replenishment orders, sending the replenishment orders to a hospital consumable management department and suppliers, and replenishing consumable stock.
Preferably, the data acquisition module comprises a consumable data acquisition unit and a data preprocessing unit;
The consumable data acquisition unit is used for installing an RFID reader-writer at a consumable input-output port and a consumable use area, generating a unique RFID label for the consumable by using an RFID technology when the consumable is put in the warehouse, recording consumable information, using a mobile RFID scanning device to scan the RFID label on the consumable in real time at the consumable use area, acquiring consumable use data, using a wireless signal transmission device on the RFID reader-writer, and transmitting the acquired consumable use data to a central data processing platform of a hospital through a wireless network, wherein the consumable information comprises consumable ID, name and consumable validity period;
the data preprocessing unit is used for preprocessing consumable usage data transmitted to the central data processing platform of the hospital, and comprises data cleaning, data conversion and data integration;
the data cleaning is used for checking repeated items in consumable usage data, removing repeated data with the same time and the same consumable ID, carrying out standardized processing on the consumable usage data, checking whether missing values exist in the consumable usage data, and filling the missing values, wherein the missing values comprise consumable IDs and consumable quantity;
the data conversion is used for converting the time stamp of the character string format into a date and time object, converting consumable ex-warehouse and warehouse-in data into a unified coding form, wherein the ex-warehouse is 1, and the warehouse-in is 0;
The data integration is used for integrating consumable usage data subjected to data cleaning and data conversion into a consumable data set, and sorting is conducted according to the time stamps.
Preferably, the blockchain recording module comprises a blockchain platform integration unit, an intelligent contract writing unit and a data encryption unit;
The blockchain platform integrated unit is used for using HYPERLEDGER FABRIC as a blockchain platform, deploying HyperledgerFabric nodes on a hospital IT infrastructure, constructing a blockchain network, connecting the blockchain network with a clinical department consumable database and an RFID system of a hospital through an open API interface, using an HTTP protocol to request interaction with the blockchain network, and uploading consumable data acquired by the HyperledgerFabric nodes in real time to the blockchain platform through the open API interface;
The hospital IT infrastructure comprises a hospital server, network equipment, a database and medical terminal equipment;
The intelligent contract writing unit is used for writing intelligent contracts by using Java language, installing the written intelligent contracts to each HyperledgerFabric node of the blockchain network, and automatically generating intelligent contracts corresponding to consumable materials according to the intelligent contracts of HYPERLEDGER FABRIC nodes in the process that consumable material data are uploaded to the blockchain platform through the blockchain network, wherein the intelligent contracts comprise consumable material IDs, consumable material using time, using quantity, using personnel and using departments.
Preferably, the data encryption unit is configured to generate an asymmetric key according to an asymmetric encryption algorithm RSA, where the asymmetric key includes a public key and a private key, and perform asymmetric encryption on consumable data in the consumable data set by using the public key to obtain encrypted consumable data;
And carrying out hash processing according to the encrypted consumable data to generate a unique hash value, and transmitting the encrypted consumable data and the hash value corresponding to the consumable data to the block chain platform through an HTTPS communication protocol through an intelligent contract interface of the HyperledgerFabric node.
Preferably, the consumable data analysis module is configured to obtain an average consumable demand D avg and a standard deviation σ of consumable demand according to consumable data in the preprocessed consumable data set, obtain a consumable demand fluctuation coefficient CV according to the average consumable demand D avg and the standard deviation σ of consumable demand, preset a consumable inventory service coefficient Z, and obtain a consumable safety inventory threshold AQ according to the consumable inventory service coefficient Z and the consumable demand fluctuation coefficient CV;
The average consumable demand D avg, the standard deviation sigma of consumable demand and the consumable demand fluctuation coefficient CV are obtained by the following steps:
Wherein D i is the consumable demand on the i th day in the historical consumable data, n is the total number of days of the collected consumable data, sigma is the standard deviation of the consumable demand, and D avg is the average consumable demand;
the consumable safety stock AQ acquisition mode is as follows:
Where Z is a consumable inventory service factor and D max is the maximum consumable demand.
Preferably, the demand prediction module comprises a model construction unit and a demand prediction unit;
The model construction unit is used for constructing a consumable demand prediction model according to a weighted moving average method, setting an input layer of the consumable demand prediction model as consumable data, setting an output layer as consumable demand XQ of a future time point, using consumable history demand data as training data, inputting the consumable demand prediction model, obtaining the consumable demand XQ of the future time point, and adjusting consumable demand prediction model parameters by using Root Mean Square Error (RMSE), wherein the consumable history demand data is obtained from a hospital database.
The demand prediction unit is preferably used for inputting consumable data acquired in real time into the trained consumable demand prediction model according to the trained consumable demand prediction model to acquire consumable demand XQ t at a future time point t;
the consumable demand XQ t at the future time point t is obtained by the following steps:
Where D i is the historical demand for consumables on day i, ω i is the weight of the historical demand for consumables on day i, n is the total number of days of collected consumable data, i=1, 2, 3.
Preferably, the inventory early warning module is configured to obtain a real-time consumable inventory KC according to consumable data stored in the blockchain platform, compare and analyze the real-time consumable inventory KC with a consumable safety inventory AQ, and evaluate a consumable inventory level, where specific evaluation contents are as follows:
if the real-time consumable stock KC is greater than or equal to the consumable safety stock AQ, namely KC is greater than or equal to AQ, judging that the consumable stock belongs to the safety level, recording consumable data, generating a consumable in-out database data report, and sending the consumable in-out database data report to a clinical department store responsible person;
if the real-time consumable stock KC is smaller than the consumable safety stock AQ, namely KC < AQ, judging that the consumable stock is at a dangerous level, triggering an alarm mechanism, recording consumable data and sending the consumable data to a block chain platform.
Preferably, the intelligent replenishment module comprises a replenishment quantity analysis unit and a replenishment unit;
The commodity replenishment quantity analysis unit is used for acquiring a commodity replenishment quantity BH according to the real-time consumable stock KC and the consumable demand XQ at a future time point acquired through a consumable demand prediction model after an alarm mechanism is triggered when the real-time consumable stock KC is smaller than the consumable safety stock AQ, namely KC < AQ, and transmitting the acquired consumable replenishment quantity BH to the blockchain platform to trigger an intelligent contract;
the consumable supply BH acquisition mode is as follows:
BH=XQ-KC。
The replenishment unit is used for triggering an intelligent contract according to consumable replenishment quantity BH received by the blockchain platform, making a consumable replenishment plan, automatically generating a replenishment order, and sending the replenishment order to a consumable management department and a consumable supplier of a hospital until the consumable management department and the consumable supplier of the hospital give a response.
The invention provides an intelligent management system for consumable materials in a warehouse of a clinical department, which has the following beneficial effects:
(1) According to the system, the RFID tags are arranged on each consumable, and the whole-course tracking of the consumable use process is realized by combining the blockchain recording module, the use records, the replenishment requests and the expiration information of all consumables are recorded in the blockchain in real time, so that the non-falsification and the transparency of data are ensured, the problem of price missing caused by information omission is effectively reduced due to the traceability, the use condition of each consumable can be accurately mastered by a hospital, and the accuracy of financial data is ensured.
(2) The inventory early warning module in the system can timely acquire consumable inventory quantity, compares the consumable inventory quantity with consumable safety inventory quantity AQ, automatically generates an in-out inventory data report, and when the real-time consumable inventory quantity KC is smaller than the consumable safety inventory quantity AQ, the system can trigger an alarm mechanism to timely inform relevant personnel to supplement goods.
(3) Through the dynamic demand prediction module, the system can construct a consumable demand prediction model according to consumable historical demand data and data acquired in real time, and can predict consumable demand quantity at a future time point by combining a machine learning technology, and optimize a replenishment decision according to the consumable demand quantity, and the intelligent replenishment module compares real-time inventory quantity with the predicted demand quantity, automatically generates a replenishment order and triggers an intelligent contract, so that an automatic and intelligent replenishment flow is realized.
Drawings
FIG. 1 is a block diagram of an intelligent management system for clinical laboratory warehouse consumables.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the invention provides an intelligent management system for consumable supplies in a clinical department warehouse, which comprises a data acquisition module, a blockchain recording module, a consumable data analysis module, a demand prediction module, an inventory early warning module and an intelligent replenishment module;
The data acquisition module is used for providing consumable materials with RFID tags, acquiring consumable material data by using an RFID tag reader, transmitting the acquired consumable material data to the central data processing platform in real time through a wireless network, preprocessing the acquired consumable material data, and constructing a consumable material data set;
The blockchain recording module is used for deploying blockchain nodes on an IT infrastructure of a clinical department of a hospital, integrating a blockchain platform with a database of the clinical department of the hospital and an RFID system, writing intelligent contracts, encrypting consumable data to generate a unique hash value, and storing the encrypted consumable data in the blockchain platform;
The consumable data analysis module is used for acquiring a consumable demand fluctuation coefficient CV according to consumable data stored in the block chain platform, presetting a consumable stock quantity service level coefficient Z, and acquiring a consumable safety stock quantity AQ according to the consumable stock quantity service level coefficient Z and the consumable demand fluctuation coefficient CV;
the demand prediction module is used for constructing a consumable demand prediction model and acquiring consumable demand XQ t at a future time point t;
The inventory early warning module is used for monitoring consumable data of a clinical department store in real time, acquiring real-time consumable stock KC, comparing and analyzing the real-time consumable stock KC with consumable safety stock AQ, and evaluating consumable stock level;
The intelligent replenishment module is used for obtaining consumable replenishment quantity BH according to consumable demand XQ in future time obtained through prediction of real-time consumable stock KC and consumable demand prediction models, transmitting the consumable replenishment quantity BH to the blockchain platform, triggering intelligent contracts, generating replenishment orders, sending the replenishment orders to a hospital consumable management department and suppliers, and replenishing consumable stock.
In the embodiment, the full life cycle tracking of the consumable is realized through the RFID tag and the blockchain recording module, each consumable is recorded and stored in the blockchain in real time in the warehousing, using and replenishment processes, so that the authenticity and the integrity of data are ensured, the transparency not only enhances the grasp of a manager on the use condition of the consumable, but also can trace the use record of each consumable at any time, and the management risk caused by the asymmetry of information is reduced;
Through real-time monitoring of consumable inventory condition and demand forecast, the system can automatically evaluate the relation between the current inventory level and the safety inventory threshold value, and timely gives an early warning, so that not only is the clinical service interruption caused by insufficient inventory avoided, but also the resource waste caused by excessive inventory is reduced, and the reasonable configuration of consumable resources is ensured, and a replenishment order is automatically generated and transmitted to related departments based on real-time inventory quantity and demand forecast data through an automatic replenishment decision mechanism, the automation of the process remarkably reduces the need of manual intervention, reduces the labor cost, reduces the occurrence of human errors, improves the efficiency and accuracy of the whole replenishment process, and because the use records and replenishment information of all consumables are safely stored in a block chain, the financial settlement of the hospital is more accurate, the integrity and the non-tamper-able property of the information effectively reduces the risk of missing the price, ensures the transparency of finances on the consumable management of the hospital, and improves the use efficiency of finances.
Example 2
Referring to fig. 1, the data acquisition module includes a consumable data acquisition unit and a data preprocessing unit;
The consumable data acquisition unit is used for installing an RFID reader-writer at a consumable input-output port and a consumable use area, generating a unique RFID label for the consumable by using an RFID technology when the consumable is put in the warehouse, recording consumable information, using a mobile RFID scanning device to scan the RFID label on the consumable in real time at the consumable use area, acquiring consumable use data, using a wireless signal transmission device on the RFID reader-writer, and transmitting the acquired consumable use data to a central data processing platform of a hospital through a wireless network, wherein the consumable information comprises a consumable ID, a name and a consumable valid period, and the consumable use information is convenient to scan the consumable in real time in an operating room by using the mobile RFID scanning device, and recording the consumable use condition;
the data preprocessing unit is used for preprocessing consumable usage data transmitted to the central data processing platform of the hospital, and comprises data cleaning, data conversion and data integration;
the data cleaning is used for checking repeated items in consumable usage data, removing repeated data with the same time and the same consumable ID, carrying out standardized processing on the consumable usage data, checking whether missing values exist in the consumable usage data, and filling the missing values, wherein the missing values comprise consumable IDs and consumable quantity;
the data conversion is used for converting the time stamp of the character string format into a date and time object, converting consumable ex-warehouse and warehouse-in data into a unified coding form, wherein the ex-warehouse is 1, and the warehouse-in is 0, so that the data analysis and calculation are facilitated;
the data integration is used for integrating consumable usage data subjected to data cleaning and data conversion into consumable data sets, sorting is performed according to time stamps, the time sequence of the data is ensured to be correct, time sequence analysis is convenient, consumable data sets are generated for each consumable, and the consumable data sets comprise total ex-warehouse quantity, total warehouse quantity and current warehouse quantity, so that the subsequent rapid data checking and analysis are convenient.
In the embodiment, by installing the RFID reader-writer, real-time and accurate consumable data recording is realized in the consumable input-output port and the using area, the accuracy and the real-time performance of data acquisition are remarkably improved, errors and delays caused by manual recording are reduced, meanwhile, the data preprocessing unit cleans and removes repeated recording, the data quality is optimized, the uniqueness of each recording is ensured, the reliability of data is improved, the data format is unified in the data conversion process, the consistency of the data is enhanced, confusion caused by non-uniform format is avoided, and the system efficiency is improved. In addition, the filling of the missing values ensures the integrity of the data, provides more comprehensive information for subsequent analysis, supports more accurate decision making, integrates the cleaned and converted data into an ordered data set, facilitates subsequent analysis and demand prediction, optimizes the resource allocation of hospitals, improves the operation efficiency of the hospitals, supports intelligent decision making and automatic management, and enables consumable management flow to be more efficient and intelligent.
Example 3
Referring to fig. 1, specifically, the blockchain recording module includes a blockchain platform integration unit, an intelligent contract writing unit and a data encryption unit;
The system comprises a blockchain platform integrated unit, a blockchain platform integrated unit and a modularized framework, wherein the blockchain platform integrated unit is used for using HYPERLEDGER FABRIC as a blockchain platform, deploying HYPERLEDGER FABRIC nodes on a hospital IT infrastructure, constructing a blockchain network, connecting the blockchain network with a clinical department consumable database and an RFID system of a hospital through an open API interface, using an HTTP protocol to request interaction with the blockchain network, uploading consumable data acquired by HYPERLEDGER FABRIC nodes in real time to the blockchain platform through the open API interface, HYPERLEDGER FABRIC is an open-source enterprise-level blockchain platform and is specially designed for transactions among organizations, and capable of supporting private chains and license chains, wherein the modularized framework enables a developer to construct blockchain application according to specific requirements, and meets strict requirements of data privacy and compliance in the medical industry;
The hospital IT infrastructure comprises a hospital server, network equipment, a database and medical terminal equipment;
The intelligent contract writing unit is used for writing intelligent contracts by using Java language, installing the written intelligent contracts to each HYPERLEDGER FABRIC node of the blockchain network, and automatically generating intelligent contracts corresponding to consumable materials according to the intelligent contracts of HYPERLEDGER FABRIC nodes in the process that consumable material data are uploaded to the blockchain platform through the blockchain network, wherein the intelligent contracts comprise consumable material IDs, consumable material using time, using quantity, using personnel and using departments.
The data encryption unit is used for generating an asymmetric key according to an asymmetric encryption algorithm RSA, comprising a public key and a private key, and performing asymmetric encryption on consumable data in a consumable data set by using the public key to obtain encrypted consumable data;
carrying out hash processing according to the encrypted consumable data to generate a unique hash value, transmitting the encrypted consumable data and the hash value corresponding to the consumable data to a block chain platform through an HTTPS communication protocol through an intelligent contract interface of HYPERLEDGER FABRIC nodes,
The hash processing refers to the use of SHA-256 algorithm, according to the encrypted consumable data, a hash value with a fixed length is obtained, and in the data transmission and storage process, after the receiving party receives the data, the receiving party can carry out hash processing on the received data and compare the hash value so as to confirm the integrity of the data.
In this embodiment, through integration HYPERLEDGER FABRIC, a safe and transparent blockchain network is established for consumable management of a hospital, through an open API interface, a clinical department consumable database is connected with an RFID system, real-time data acquisition and uploading are achieved, data timeliness and accuracy are ensured, the real-time recording mechanism reduces risks of data tampering and loss, a reliable traceability mechanism is provided for consumable management, in addition, an intelligent contract writing unit automatically generates an intelligent contract related to consumable use, including consumable ID, use time and use quantity information, transparency and traceability of consumable use flow are ensured, the process not only simplifies contract management, but also reduces human errors through automation, efficiency is improved, finally, an asymmetric encryption algorithm RSA is used for encrypting consumable data, confidentiality and integrity of data are protected, unique hash values generated through hash processing are further ensured, serial encryption and hash measures of data in a blockchain are further ensured, safety of the system is enhanced, transparency and traceability of consumable use flow are also provided for the hospital, the safety management efficiency of consumable management is improved, and the safety management of the consumable management system is enabled to be high, and the safety management performance of the hospital is improved.
Example 4
Referring to fig. 1, the consumable data analysis module is specifically configured to obtain, according to consumable data in the preprocessed consumable data set, an average consumable demand D avg and a standard deviation σ of consumable demand, obtain a consumable demand fluctuation coefficient CV according to the average consumable demand D avg and the standard deviation σ of consumable demand, preset a consumable inventory service coefficient Z, and obtain a consumable safety inventory threshold AQ according to the consumable inventory service coefficient Z and the consumable demand fluctuation coefficient CV;
The average consumable demand D avg, the standard deviation sigma of consumable demand and the consumable demand fluctuation coefficient CV are obtained by the following steps:
Wherein D i is the consumable demand on the i th day in the historical consumable data, n is the total number of days of the collected consumable data, sigma is the standard deviation of the consumable demand, and D avg is the average consumable demand;
the consumable safety stock AQ acquisition mode is as follows:
Where Z is a consumable inventory service factor and D max is the maximum consumable demand.
In this embodiment, through carrying out deep analysis to the consumable data collection after preprocessing, can effectively acquire the average demand D avg and the demand standard deviation sigma of consumptive material, provide basic data for subsequent inventory management, through these statistics index, this module can calculate consumable demand fluctuation coefficient CV, thereby the stability of quantification demand, this series of index provides the clear understanding to the consumable demand change for the hospital, help to formulate more reasonable inventory tactics, in addition, the calculation of preset inventory quantity service coefficient Z combines demand fluctuation coefficient, can accurately derive consumable safety inventory quantity AQ, effectively reduce inventory shortage or surplus risk, through this kind of data driven method, the hospital can keep appropriate inventory level in dynamic demand environment, promote resource utilization efficiency, ensure that clinical work goes on smoothly, finally realize consumable management and cost control.
Example 5
Referring to fig. 1, specifically, the demand prediction module includes a model building unit and a demand prediction unit;
The model construction unit is used for constructing a consumable demand prediction model according to a weighted moving average method, setting an input layer of the consumable demand prediction model as consumable data, setting an output layer as consumable demand XQ of a future time point, using consumable history demand data as training data, inputting the consumable demand prediction model, obtaining the consumable demand XQ of the future time point, and adjusting consumable demand prediction model parameters by using Root Mean Square Error (RMSE), wherein the consumable history demand data is obtained from a hospital database.
The demand prediction unit is used for inputting consumable data acquired in real time into the trained consumable demand prediction model according to the trained consumable demand prediction model to acquire consumable demand XQ t at a future time point t;
the consumable demand XQ t at the future time point t is obtained by the following steps:
Where D i is the historical demand for consumables on day i, ω i is the weight of the historical demand for consumables on day i, n is the total number of days of collected consumable data, i=1, 2, 3.
In this embodiment, the accuracy of consumable demand prediction can be effectively improved through the model construction unit and the demand prediction unit, the model construction unit uses a weighted moving average method to train the prediction model according to historical demand data, and the input layer and the output layer are definitely input, so that prediction of consumable demand XQ at a future time point is realized, the reliability and the accuracy of a prediction result are ensured by adjusting model parameters through root mean square error RMSE, so that the hospital can dynamically adjust the demand prediction based on real-time data, and further, the demand prediction unit inputs consumable data acquired in real time into a trained model to provide timely demand prediction, support quick response replenishment decisions, improve resource management efficiency of the hospital, reduce inventory shortage risk caused by prediction errors, optimize the whole consumable management flow, and ensure continuity and stability of medical services.
Example 6
Referring to fig. 1, the inventory early warning module is specifically configured to obtain a real-time consumable inventory KC according to consumable data stored in a blockchain platform, compare and analyze the real-time consumable inventory KC with a consumable safety inventory AQ, and evaluate a consumable inventory level, where specific evaluation contents are as follows:
if the real-time consumable stock KC is greater than or equal to the consumable safety stock AQ, namely KC is greater than or equal to AQ, judging that the consumable stock belongs to the safety level, recording consumable data, generating a consumable in-out database data report, and sending the consumable in-out database data report to a clinical department store responsible person;
if the real-time consumable stock KC is smaller than the consumable safety stock AQ, namely KC < AQ, judging that the consumable stock is at a dangerous level, triggering an alarm mechanism, recording consumable data and sending the consumable data to a block chain platform.
In this embodiment, the real-time consumable inventory KC is obtained by monitoring consumable data in the blockchain platform in real time, and is compared and analyzed with the safe inventory AQ, so that the efficiency and safety of consumable management are improved, when the inventory KC is greater than or equal to the safe inventory AQ, the system can judge that inventory is at a safe level, timely record consumable data and generate consumable in-out database data reports, ensure that the personnel responsible for the clinical department can timely master the inventory state of the consumable, facilitate allocation and use of resources, and when the real-time inventory KC is lower than the safe inventory AQ, the system immediately triggers an alarm mechanism, records data and sends the data to the blockchain platform, so that relevant departments can be ensured to take measures rapidly, the medical service is prevented from being influenced due to insufficient inventory, the mechanism of dynamic monitoring and automatic early warning not only reduces the risk caused by improper inventory management, but also improves the response speed of the hospital to consumable use, and promotes the overall operation efficiency.
Example 7
Referring to fig. 1, the intelligent replenishment module includes a replenishment quantity analysis unit and a replenishment unit;
The commodity replenishment quantity analysis unit is used for acquiring a commodity replenishment quantity BH according to the real-time consumable stock KC and the consumable demand XQ at a future time point acquired through a consumable demand prediction model after an alarm mechanism is triggered when the real-time consumable stock KC is smaller than the consumable safety stock AQ, namely KC < AQ, and transmitting the acquired consumable replenishment quantity BH to the blockchain platform to trigger an intelligent contract;
the consumable supply BH acquisition mode is as follows:
BH=XQ-KC;
The replenishment unit is used for triggering an intelligent contract according to consumable replenishment quantity BH received by the blockchain platform, making a consumable replenishment plan, automatically generating a replenishment order, and sending the replenishment order to a consumable management department and a consumable supplier of a hospital until the consumable management department and the consumable supplier of the hospital give a response.
In this embodiment, through the cooperative work of the replenishment quantity analysis unit and the replenishment unit, flexibility and efficiency of the management of consumable materials in the hospital are improved, when the real-time inventory KC is lower than the safety inventory AQ, the system automatically triggers an alarm mechanism, and utilizes the future demand XQ obtained by the real-time inventory KC and the demand prediction model to calculate the required replenishment quantity BH, the scientificity and timeliness of the replenishment decision are ensured in this process, the risk of insufficient inventory is avoided, and then, the replenishment unit rapidly triggers an intelligent contract according to the replenishment quantity BH received by the block chain platform to make a detailed replenishment plan, automatically generates a replenishment order and timely sends the replenishment order to consumable material management departments and suppliers in the hospital.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1.一种临床科室库房耗材智能管理系统，其特征在于：包括数据采集模块，区块链记录模块，耗材数据分析模块，需求预测模块，库存预警模块以及智能补货模块；1. An intelligent management system for clinical department warehouse consumables, characterized by: including a data acquisition module, a blockchain recording module, a consumables data analysis module, a demand forecasting module, an inventory warning module and an intelligent replenishment module; 所述数据采集模块用于为耗材配备RFID标签，并使用RFID标签读取器采集耗材数据，通过无线网络将采集到的耗材数据实时传输至中央数据处理平台，并对采集到的耗材数据进行预处理，构建耗材数据集合；The data acquisition module is used to equip consumables with RFID tags, and use an RFID tag reader to collect consumable data, transmit the collected consumable data to a central data processing platform in real time through a wireless network, and pre-process the collected consumable data to construct a consumable data set; 所述区块链记录模块用于在医院临床科室的IT基础设施上部署区块链节点，将区块链平台与医院临床科室数据库以及RFID系统进行集成，编写智能合约，并对耗材数据进行加密，生成唯一哈希值，将加密后的耗材数据存储于区块链平台；The blockchain recording module is used to deploy blockchain nodes on the IT infrastructure of the hospital clinical department, integrate the blockchain platform with the hospital clinical department database and the RFID system, write smart contracts, encrypt the consumables data, generate a unique hash value, and store the encrypted consumables data on the blockchain platform; 所述耗材数据分析模块用于依据区块链平台中存储的耗材数据，获取耗材需求波动系数CV，并预设耗材库存量服务水平系数Z，依据耗材库存量服务水平系数Z和耗材需求波动系数CV获取耗材安全库存量AQ；The consumables data analysis module is used to obtain the consumables demand fluctuation coefficient CV based on the consumables data stored in the blockchain platform, and preset the consumables inventory service level coefficient Z, and obtain the consumables safety inventory AQ based on the consumables inventory service level coefficient Z and the consumables demand fluctuation coefficient CV; 所述需求预测模块用于构建耗材需求预测模型，获取未来时间点t的耗材需求量XQt；The demand forecasting module is used to construct a consumables demand forecasting model to obtain the consumables demand XQ t at a future time point t; 所述库存预警模块用于实时监测临床科室库房耗材数据，获取实时耗材库存量KC，并将实时耗材库存量KC与耗材安全库存量AQ进行对比分析，评估耗材库存水平；The inventory warning module is used to monitor the clinical department warehouse consumables data in real time, obtain the real-time consumables inventory KC, and compare and analyze the real-time consumables inventory KC with the consumables safety inventory AQ to evaluate the consumables inventory level; 所述智能补货模块用于依据实时耗材库存量KC和耗材需求预测模型预测得到的未来时间内的耗材需求量XQ，获取耗材补货量BH，并将耗材补货量BH传输至区块链平台，触发智能合约，生成补货订单，并将补货订单发送至医院耗材管理部门和供应商，补充耗材库存。The intelligent replenishment module is used to obtain the consumable replenishment quantity BH based on the real-time consumable inventory KC and the consumable demand XQ in the future predicted by the consumable demand prediction model, and transmit the consumable replenishment quantity BH to the blockchain platform, trigger the smart contract, generate a replenishment order, and send the replenishment order to the hospital consumable management department and suppliers to replenish the consumable inventory. 2.根据权利要求1所述的一种临床科室库房耗材智能管理系统，其特征在于：所述数据采集模块包括耗材数据采集单元和数据预处理单元；2. According to claim 1, a clinical department warehouse consumables intelligent management system is characterized in that: the data acquisition module includes a consumables data acquisition unit and a data preprocessing unit; 所述耗材数据采集单元用于在耗材出入库口和耗材使用区域安装RFID读写器，在耗材入库时，使用RFID技术为耗材生成唯一RFID标签，记录耗材信息，使用移动RFID扫描设备，在耗材使用区域实时扫描耗材上的RFID标签，获取耗材使用数据，并使用RFID读写器上的无线信号传输装置，通过无线网络将采集到的耗材使用数据传输至医院中央数据处理平台，所述耗材信息包括耗材ID、名称和耗材有效期；The consumables data collection unit is used to install RFID readers at the consumables entry and exit ports and consumables use areas. When consumables are put into storage, RFID technology is used to generate unique RFID tags for consumables, record consumables information, use mobile RFID scanning equipment to scan the RFID tags on consumables in real time in the consumables use area, obtain consumables use data, and use the wireless signal transmission device on the RFID reader to transmit the collected consumables use data to the hospital central data processing platform through a wireless network. The consumables information includes consumables ID, name and consumables validity period; 所述数据预处理单元用于对传输到医院中央数据处理平台的耗材使用数据进行预处理，包括数据清洗、数据转换以及数据整合；The data preprocessing unit is used to preprocess the consumables usage data transmitted to the hospital central data processing platform, including data cleaning, data conversion and data integration; 所述数据清洗用于检查耗材使用数据中的重复项，去除相同时间和相同耗材ID的重复数据，并将耗材使用数据进行标准化处理，检查耗材使用数据中是否存在缺失值，并填补缺失值，所述缺失值包括耗材ID和耗材数量；The data cleaning is used to check duplicates in the consumables usage data, remove duplicate data with the same time and the same consumables ID, and standardize the consumables usage data, check whether there are missing values in the consumables usage data, and fill in the missing values, wherein the missing values include the consumables ID and the consumables quantity; 所述数据转换用于将字符串格式的时间戳转换为日期时间对象，并将耗材出库和入库数据转换为统一编码形式，“出库”为1，“入库”为0；The data conversion is used to convert the timestamp in string format into a date and time object, and convert the consumables outbound and inbound data into a unified coding format, where "outbound" is 1 and "inbound" is 0; 所述数据整合用于将经过数据清洗和数据转换的耗材使用数据整合为耗材数据集合，并按照时间戳进行排序。The data integration is used to integrate the consumables usage data that has undergone data cleaning and data conversion into a consumables data set, and sort the data according to timestamps. 3.根据权利要求1所述的一种临床科室库房耗材智能管理系统，其特征在于：所述区块链记录模块包括区块链平台集成单元、智能合约编写单元和数据加密单元；3. According to claim 1, a clinical department warehouse consumables intelligent management system is characterized in that: the blockchain recording module includes a blockchain platform integration unit, a smart contract writing unit and a data encryption unit; 所述区块链平台集成单元用于使用Hyperledger Fabric作为区块链平台，在医院IT基础设施上部署Hyperledger Fabric节点，构建区块链网络，通过开放式API接口将区块链网络与医院的临床科室耗材数据库以及RFID系统连接，使用HTTP协议请求与区块链网络进行交互，将Hyperledger Fabric节点实时采集的耗材数据通过开放式API接口上传至区块链平台；The blockchain platform integration unit is used to use Hyperledger Fabric as a blockchain platform, deploy Hyperledger Fabric nodes on the hospital IT infrastructure, build a blockchain network, connect the blockchain network with the hospital's clinical department consumables database and RFID system through an open API interface, use HTTP protocol requests to interact with the blockchain network, and upload the consumables data collected in real time by the Hyperledger Fabric node to the blockchain platform through the open API interface; 所述医院IT基础设施包括医院服务器、网络设备、数据库和医疗终端设备；The hospital IT infrastructure includes hospital servers, network equipment, databases and medical terminal equipment; 所述智能合约编写单元用于使用Java语言编写智能合约，将编写完成的智能合约安装到区块链网络的各个Hyperledger Fabric节点，在耗材数据通过区块链网络上传至区块链平台的过程中，依据Hyperledger Fabric节点的智能合约自动生成对应耗材的智能合约，所述智能合约包括耗材ID、耗材使用时间、使用数量、使用人员以及使用部门。The smart contract writing unit is used to write smart contracts using Java language, and install the written smart contracts to each Hyperledger Fabric node of the blockchain network. When the consumables data is uploaded to the blockchain platform through the blockchain network, the smart contract of the corresponding consumables is automatically generated according to the smart contract of the Hyperledger Fabric node. The smart contract includes the consumable ID, consumable usage time, usage quantity, user and using department. 4.根据权利要求3所述的一种临床科室库房耗材智能管理系统，其特征在于：所述数据加密单元用于依据非对称加密算法RSA，生成非对称密钥，包括公钥和私钥，使用公钥将耗材数据集合中的耗材数据进行非对称加密，获得加密后的耗材数据；4. The intelligent management system for clinical department warehouse consumables according to claim 3, characterized in that: the data encryption unit is used to generate an asymmetric key, including a public key and a private key, based on an asymmetric encryption algorithm RSA, and use the public key to asymmetrically encrypt the consumable data in the consumable data set to obtain the encrypted consumable data; 依据加密后的耗材数据，进行哈希处理，生成唯一哈希值，并通过Hyperledger Fabric节点的智能合约接口将加密后的耗材数据和耗材数据对应的哈希值通过HTTPS通信协议传输至区块链平台。Hash processing is performed based on the encrypted consumable data to generate a unique hash value, and the encrypted consumable data and the hash value corresponding to the consumable data are transmitted to the blockchain platform through the HTTPS communication protocol through the smart contract interface of the Hyperledger Fabric node. 5.根据权利要求1所述的一种临床科室库房耗材智能管理系统，其特征在于：所述耗材数据分析模块用于依据预处理后的耗材数据集合中的耗材数据，获取耗材平均需求量Davg和耗材需求量标准差σ，并依据耗材平均需求量Davg和耗材需求量标准差σ获取耗材需求波动系数CV，预设耗材库存量服务系数Z，依据耗材库存量服务系数Z和耗材需求波动系数CV获取耗材安全库存阈值AQ；5. According to claim 1, a clinical department warehouse consumables intelligent management system is characterized in that: the consumables data analysis module is used to obtain the average demand quantity D avg and the standard deviation σ of the consumables demand according to the consumables data in the preprocessed consumables data set, and obtain the consumables demand fluctuation coefficient CV according to the average demand quantity D avg and the standard deviation σ of the consumables demand, preset the consumables inventory service coefficient Z, and obtain the consumables safety inventory threshold AQ according to the consumables inventory service coefficient Z and the consumables demand fluctuation coefficient CV; 所述耗材平均需求量Davg、耗材需求量标准差σ以及耗材需求波动系数CV获取方式为：The average demand for consumables D avg , the standard deviation of the demand for consumables σ and the coefficient of fluctuation of the demand for consumables CV are obtained as follows: 式中，Di是历史耗材数据中第i天的耗材需求量，n是收集的耗材数据的总天数，σ是耗材需求量标准差，Davg是耗材平均需求量；Where D i is the consumables demand on the i-th day in the historical consumables data, n is the total number of days of consumables data collected, σ is the standard deviation of consumables demand, and D avg is the average consumables demand; 所述耗材安全库存量AQ获取方式为：The consumables safety inventory AQ is obtained in the following way: 式中，Z是耗材库存量服务系数，Dmax是耗材最大需求量。Where Z is the service coefficient of consumables inventory, and D max is the maximum demand for consumables. 6.根据权利要求1所述的一种临床科室库房耗材智能管理系统，其特征在于：所述需求预测模块包括模型构建单元和需求预测单元；6. The intelligent management system for clinical department warehouse consumables according to claim 1, characterized in that: the demand forecasting module includes a model building unit and a demand forecasting unit; 所述模型构建单元用于依据加权移动平均法构建耗材需求预测模型，设置耗材需求预测模型输入层为耗材数据，输出层为未来时间点的耗材需求量XQ，使用耗材历史需求数据作为训练数据，输入耗材需求预测模型，获取未来时间点的耗材需求量XQ，并使用均方根误差RMSE调整耗材需求预测模型参数，所述耗材历史需求数据通过医院数据库中获得。The model building unit is used to build a consumable demand prediction model based on the weighted moving average method, set the input layer of the consumable demand prediction model to consumable data, and the output layer to the consumable demand quantity XQ at a future time point, use the historical consumable demand data as training data, input the consumable demand prediction model, obtain the consumable demand quantity XQ at a future time point, and use the root mean square error RMSE to adjust the parameters of the consumable demand prediction model, and the historical consumable demand data is obtained from the hospital database. 7.根据权利要求6所述的一种临床科室库房耗材智能管理系统，其特征在于：所述需求预测单元用于依据训练后的耗材需求预测模型，将实时采集的耗材数据输入训练后的耗材需求预测模型，获取未来时间点t的耗材需求量XQt；7. A clinical department warehouse consumables intelligent management system according to claim 6, characterized in that: the demand prediction unit is used to input the consumables data collected in real time into the trained consumables demand prediction model according to the trained consumables demand prediction model to obtain the consumables demand XQ t at the future time point t; 所述未来时间点t的耗材需求量XQt获取方式为：The consumables demand XQ t at the future time point t is obtained as follows: 式中，Di是第i天的耗材历史需求量，ωi是在第i天的耗材历史需求量的权重，n是收集的耗材数据的总天数，i＝1，2，3，...，n。Where D i is the historical demand for consumables on the i-th day, ω i is the weight of the historical demand for consumables on the i-th day, n is the total number of days of collected consumables data, i = 1, 2, 3, ..., n. 8.根据权利要求1所述的一种临床科室库房耗材智能管理系统，其特征在于：所述库存预警模块用于依据区块链平台中存储的耗材数据，获取实时耗材库存量KC，将实时耗材库存量KC与耗材安全库存量AQ进行对比分析，评估耗材库存水平，具体评估内容如下：8. According to claim 1, a clinical department warehouse consumables intelligent management system is characterized in that: the inventory warning module is used to obtain the real-time consumables inventory KC based on the consumables data stored in the blockchain platform, compare and analyze the real-time consumables inventory KC with the consumables safety inventory AQ, and evaluate the consumables inventory level. The specific evaluation content is as follows: 若实时耗材库存量KC大于或等于耗材安全库存量AQ，即KC≥AQ时，判断耗材库存量属于安全水平，记录耗材数据，并生成耗材出入库数据报告，发送给临床科室库房负责人员；If the real-time consumable inventory KC is greater than or equal to the consumable safety inventory AQ, that is, KC ≥ AQ, the consumable inventory is judged to be at a safe level, the consumable data is recorded, and a consumable in and out data report is generated and sent to the clinical department warehouse manager; 若实时耗材库存量KC小于耗材安全库存量AQ，即KC＜AQ时，判断耗材库存量处于危险水平，触发报警机制，记录耗材数据并将其发送至区块链平台。If the real-time consumables inventory KC is less than the consumables safety inventory AQ, that is, KC＜AQ, the consumables inventory is judged to be at a dangerous level, the alarm mechanism is triggered, the consumables data is recorded and sent to the blockchain platform. 9.根据权利要求8所述的一种临床科室库房耗材智能管理系统，其特征在于：所述智能补货模块包括补货量分析单元和补货单元；9. The intelligent management system for clinical department warehouse consumables according to claim 8, characterized in that: the intelligent replenishment module includes a replenishment quantity analysis unit and a replenishment unit; 所述补货量分析单元用于在实时耗材库存量KC小于耗材安全库存量AQ，即KC＜AQ，触发报警机制后，依据实时耗材库存量KC和通过耗材需求预测模型获取的未来时间点的耗材需求量XQ，获取耗材补货量BH，并将获取的耗材补货量BH传输至区块链平台，触发智能合约；The replenishment quantity analysis unit is used to obtain the consumable replenishment quantity BH based on the real-time consumable inventory quantity KC and the consumable demand quantity XQ at a future time point obtained by the consumable demand prediction model when the real-time consumable inventory quantity KC is less than the consumable safety inventory quantity AQ, that is, KC＜AQ, triggering the alarm mechanism, and transmit the obtained consumable replenishment quantity BH to the blockchain platform to trigger the smart contract; 所述耗材补货量BH获取方式为：The consumables replenishment quantity BH is obtained in the following manner: BH＝XQ-KC。BH＝XQ-KC. 10.根据权利要求9所述的一种临床科室库房耗材智能管理系统，其特征在于：所述补货单元用于依据区块链平台接收到的耗材补货量BH，触发智能合约，制定耗材补货计划，自动生成补货订单，将补货订单发送至医院耗材管理部门和耗材供应商，直到医院耗材管理部门和耗材供应商给予响应。10. An intelligent management system for clinical department warehouse consumables according to claim 9, characterized in that: the replenishment unit is used to trigger the smart contract based on the consumable replenishment quantity BH received by the blockchain platform, formulate a consumable replenishment plan, automatically generate a replenishment order, and send the replenishment order to the hospital consumables management department and the consumables supplier until the hospital consumables management department and the consumables supplier respond.
CN202411688681.5A 2024-11-25 2024-11-25 An intelligent management system for clinical department warehouse consumables Pending CN119626482A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202411688681.5A CN119626482A (en) 2024-11-25 2024-11-25 An intelligent management system for clinical department warehouse consumables

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202411688681.5A CN119626482A (en) 2024-11-25 2024-11-25 An intelligent management system for clinical department warehouse consumables

Publications (1)

Publication Number Publication Date
CN119626482A true CN119626482A (en) 2025-03-14

Family

ID=94895697

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202411688681.5A Pending CN119626482A (en) 2024-11-25 2024-11-25 An intelligent management system for clinical department warehouse consumables

Country Status (1)

Country Link
CN (1) CN119626482A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120258629A (en) * 2025-05-29 2025-07-04 四川省医学科学院·四川省人民医院 A method and system for selecting and evaluating medical consumables for medical institutions
CN120412934A (en) * 2025-04-03 2025-08-01 厦门建发健康科技有限公司 An SPD medical consumables intelligent monitoring and traceability management system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120412934A (en) * 2025-04-03 2025-08-01 厦门建发健康科技有限公司 An SPD medical consumables intelligent monitoring and traceability management system
CN120258629A (en) * 2025-05-29 2025-07-04 四川省医学科学院·四川省人民医院 A method and system for selecting and evaluating medical consumables for medical institutions

Similar Documents

Publication Publication Date Title
CN117114583B (en) Supply chain management system based on cloud service platform
CN119626482A (en) An intelligent management system for clinical department warehouse consumables
CN108009758B (en) BIM-based intelligent management method for field construction materials
CN115879664A (en) Intelligent operation and maintenance system and method based on industrial Internet
CN111210108B (en) A performance control model of power material supply chain
CN110599007A (en) Project progress management system
CN111600296B (en) Power load prediction system based on edge calculation and prediction method thereof
CN118840045A (en) Intelligent supply chain management platform based on product purchase
CN101556475B (en) Real-time tracking system for processing materials and production process based on radio frequency technique
CN105447681B (en) Physical and chemical detection control and information management system
CN105574593B (en) Track state static inspection and control system and method based on cloud computing and big data
CN117371952B (en) Multi-project collaborative management system
US20200117151A1 (en) Outage and switch management for a power grid system
CN105321051A (en) Extra-high voltage substation intelligent operation and maintenance management and method for generating report thereof
CN108319638B (en) A dangerous goods manufacturing execution system using hand-held inspection equipment
CN111507635A (en) An intelligent mobile operation system and method for substation transportation inspection based on power Internet of things
CN113762445B (en) A sign analysis system based on prefabricated buildings
CN119417069A (en) A product traceability control system based on full-process monitoring
KR100584903B1 (en) Power plant operation information real time management system
CN118863783A (en) An engineering project management system based on big data
CN109960231A (en) A kind of production management system and its method based on Internet of Things
CN118691309A (en) Logistics electronic waybill price monitoring management method, device, equipment and storage medium
CN118195329A (en) Multi-dimensional fusion processing method and system for intelligent risk identification of coal mine safety production
CN111311033B (en) Electricity selling company electric quantity deviation control system based on electric quantity mutual insurance evaluation
CN104899696A (en) Transformer station material distribution control analysis application method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
点击 这是indexloc提供的php浏览器服务，不要输入任何密码和下载