Medical consumable fine management method and system

Abstract

The invention provides a medical consumable refined management method and system, and the method comprises the steps: a medical consumable database establishment step: carrying out the warehousing management of medical consumables, and establishing a database containing the information of various medical consumables; dynamic management of the medical consumables: in the use process of the medical consumables, obtaining ex-warehouse and use information of the medical consumables, linking with the database, and dynamically updating the database in real time; a first data analysis step: on the basis of the database information and the dynamic update information, using a big data model to predict the use cycles of various consumables, and realizing refinement of consumable management and control; and a purchase strategy output step: based on the period predicted by the big data model, setting the upper limit and the lower limit of the inventory of various consumables, and when a certain medical consumable exceeds the lower limit, outputting a purchase plan of the medical consumables to provide reference for the purchase behavior of purchasers. The inventory of the medical institution is reduced, and the inventory cost of the medical institution is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and in particular to a method and system for refined management of medical consumables. Background Art

[0002] Surgical consumables account for about 30% of the total cost of medical institutions, and have always been the focus and difficulty of medical institution management. Surgical consumables management involves multiple links and process management. It is difficult to use a single system to meet the actual needs of clinical work, but the combination of multiple systems involves the integration of basic data, dictionary maintenance, communication protocols, process integration, data sharing, and data reporting. Due to the large number of management links, poor data governance foundation, low standardization level, and low data secondary utilization rate, the inventory of surgical consumables is large, the inventory turnover cycle is long, and the data required by medical insurance prices is inaccurate. Summary of the invention

[0003] In order to solve the problems in the prior art, the present invention provides a method for refined management of medical consumables, and also provides a system for implementing the method for refined management of medical consumables. Through the refined management of equal amounts of medical consumables, the inventory turnover cycle and inventory volume of surgical consumables are reduced, thereby reducing the costs of medical institutions.

[0004] The medical consumables refined management method of the present invention comprises:

[0005] Steps for establishing a medical consumables database: manage the storage of medical consumables and establish a database containing information on various types of medical consumables;

[0006] Dynamic management steps for medical consumables: During the use of medical consumables, obtain the outbound and use information of medical consumables, link with the database, and dynamically update the database in real time;

[0007] The first data analysis step: Based on database information and dynamically updated information, a big data model is used to predict the use cycle of various consumables to achieve refined consumables management and control;

[0008] Procurement strategy output step: Based on the cycle predicted by the big data model, set the upper and lower limits of the inventory of various types of consumables. When a certain medical consumable exceeds the lower limit, output the procurement plan of the medical consumables to provide a reference for the procurement behavior of procurement personnel.

[0009] Furthermore, it also includes a second data analysis step: based on the big data model, the consumables required for each operation are analyzed, and a first consumable usage model for each operation is output, wherein the first consumable usage model includes a first threshold value for the quantity of each type of consumables, and it is determined whether the consumables for the current operation exceed the first threshold value. If so, a warning message is output.

[0010] Furthermore, it also includes a third data analysis step: based on the large model data, output the second consumables usage model of each doctor in the same operation, obtain the consumables usage of different doctors, and provide data support for the doctor's assessment score.

[0011] Furthermore, in the step of establishing a medical consumables database, a unique identification feature is attached to each consumable before the consumables are put into storage. When the consumables are put into storage, the relevant information of the consumables is obtained through the unique identification feature, and the relevant information of the consumables is put into the database.

[0012] Furthermore, the unique identification feature includes a barcode or a QR code. In the production process, the consumables information is bound to the unique identification code information.

[0013] In the dynamic management step of medical consumables, when medical consumables are entering or leaving the warehouse, the consumables information is input into or output from the database through a code scanning tool, thereby realizing dynamic updating of the database.

[0014] Furthermore, the medical database is a three-level database, including a first-level database, a second-level database and a third-level database, wherein the first-level database is a central warehouse database of a medical institution, the second-level database is an operating room warehouse database, and the third-level database is an operating room database. Upper and lower limits are set for each consumable in the three-level database. When the consumables in any level of the database are higher than the upper limit or lower than the lower limit, a warning message is output to medical staff to provide guidance for the circulation of consumables within the hospital.

[0015] Furthermore, the medical consumables information in the database includes the name of the consumables, the level of the medical consumables, the risk category, the registration certificate category, the category of medical consumables, the purpose, function, material, specification, model, sales manufacturer, price, production batch number, production date and / or disinfection and sterilization date.

[0016] The present invention also provides a medical consumables refined management system for implementing the medical consumables refined management method, comprising:

[0017] Database: used to store medical consumables information and provide basic data support for refined management of medical consumables;

[0018] Medical consumables dynamic management module: used to obtain the outbound and usage information of medical consumables during their use, link with the database, and dynamically update the database in real time;

[0019] Data cleaning module: used to clean and organize the original data;

[0020] The first data analysis module is used to predict the use cycle of various consumables based on the data processed by the data cleaning module, using a big data model, so as to achieve refined consumables management and control;

[0021] Procurement strategy output module: used to set the upper and lower limits of various types of consumables inventory based on the cycle predicted by the big data model. When a certain medical consumable exceeds the lower limit, the procurement plan of the medical consumable is output to provide a reference for the procurement behavior of procurement personnel.

[0022] Compared with the prior art, the beneficial effects of the present invention are: relying on the big data model, it provides basic support for the refined management of medical consumables, especially surgical consumables; through big data analysis and prediction, it provides scientific decision-making for the internal circulation of medical consumables in medical institutions, the management of doctors, the procurement of purchasing personnel, etc., which is conducive to reducing the inventory volume and inventory amount of medical institutions, and improving the turnover rate of consumables, thereby effectively reducing the inventory cost of medical institutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 This is a flow chart of the refined management method for medical consumables of the present invention. DETAILED DESCRIPTION

[0025] Unless otherwise defined, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs; the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention; the terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present invention or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0026] Reference to "embodiments" in the present invention means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it mutually exclusive, independent, or alternative to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in the present invention may be combined with other embodiments.

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0028] like Figure 1 As shown, the refined management method of medical consumables of the present invention includes:

[0029] Steps for establishing a medical consumables database: manage the storage of medical consumables and establish a database containing information on various types of medical consumables;

[0030] Dynamic management steps for medical consumables: During the use of medical consumables, obtain the outbound and use information of medical consumables, link with the database, and dynamically update the database in real time;

[0031] The first data analysis step: Based on database information and dynamically updated information, a big data model is used to predict the use cycle of various consumables to achieve refined consumables management and control;

[0032] Procurement strategy output step: Based on the cycle predicted by the big data model, set the upper and lower limits of the inventory of various types of consumables. When a certain medical consumable exceeds the lower limit, output the procurement plan of the medical consumables to provide a reference for the procurement behavior of procurement personnel.

[0033] In this example, a medical consumables database will be established in advance, and then used to store the information of each consumable. Among them, one type of consumable is a database table, which is used to classify and store the consumables. In addition, a database table is established to record the data volume of each consumable in real time.

[0034] In this example, before the consumables are put into storage, a unique identification feature is attached to each consumable. When entering the storage, the relevant information of the consumables is obtained through the unique identification feature, and the relevant information of the consumables is put into the database. This step is generally completed in the production link. It is also possible to assign a code to a single consumable before entering the storage, and then output the consumable information for the whole process management of consumables.

[0035] Preferably, the unique identification feature can be a barcode, a QR code, or an RFID tag, etc. In the production process, the consumables information is bound to the unique identification code information, which can realize the traceability management of the whole process from production, sales, procurement, and use. In this example, in the dynamic management step of medical consumables, when medical consumables are in and out of the warehouse, the consumables information is input into or output from the database through a code scanning tool, thereby realizing the dynamic update of the database.

[0036] Relying on the information in the database, the present invention also includes a second data analysis step: based on the big data model, the consumables required for each operation are analyzed, and a first consumable usage model for each operation is output, wherein the first consumable usage model includes a first threshold value for the quantity of each type of consumables, and it is determined whether the consumables for the current operation exceed the first threshold value. If so, a warning message is output.

[0037] Furthermore, it also includes a third data analysis step: based on the large model data, output the second consumables usage model of each doctor in the same operation, obtain the consumables usage of different doctors, and provide data support for the doctor's assessment score.

[0038] This example establishes a big data model for data analysis in three aspects, wherein the big data model can adopt a decision tree model, or a neural network model, etc., and use a large amount of real data from the hospital for training, thereby improving the accuracy of the big data model's predictive analysis. This example establishes monitoring indicators in the big data model, and the monitoring indicators include inventory amount, inventory turnover rate, revenue share, temporary purchase of medical consumables share, validity period, delivery response time, contract validity, etc. In addition, it is used as the output information of the big data model and the input information of the procurement strategy, and the comprehensive information is used to output the procurement plan of medical consumables, providing a reference for the procurement behavior of procurement personnel and ensuring the benign management of medical consumables. When the monitoring indicator reaches the set threshold, a reminder message is pushed to the corresponding medical staff, thereby facilitating the dynamic and refined management of medical consumables.

[0039] However, some data on medical consumables in the original database is missing. During training, the missing information is completed by assigning a value of 0, and then sent to the big data model for training.

[0040] In this case, the SPD model is preferably used in the dynamic management of medical consumables. By linking the core members of the internal and external supply chains of medical consumables, the medical consumables are managed in a coordinated manner to improve management efficiency. The SPD model comprehensively considers the operating rules, characteristics and mutual connections of each management link of medical consumables in the hospital. With the support of supply chain management theory and information technology, it optimizes and improves the traditional medical consumables management method. It is a consumables management model suitable for the current social and medical background.

[0041] The operation method of the SPD mode for full process management in this example includes:

[0042] 1. Full life cycle management of contracts: Upload supplier certificates, product registration certificates and other certificates to the system and monitor and manage them dynamically. Focus on dynamically monitoring the validity period of the contract and manage the contract period in advance to avoid violations and impacts on surgery caused by contract expiration, thereby reducing the proportion of non-compliant contracts from about 10% to 0, ensuring a virtuous cycle of medical consumables.

[0043] 2. Procurement management: Set inventory upper and lower limit reminders through the SPD system, automatically generate procurement plans, generate purchase orders through the B2B supply and procurement platform, push them to suppliers, and monitor the progress of the entire procurement order on the platform

[0044] 3. Standardize the classification of consumables and supervise their operation. By formulating a unified classification catalog of surgical medical consumables, a data foundation has been laid for the realization of full-process and full-barcoding management.

[0045] Through the method of the present invention, the medical consumables are scientifically and reasonably configured for safety inventory, which greatly reduces the inventory and inventory turnover date. The applicant has reduced the inventory from more than 7 million yuan at the beginning of statistics to less than 2.6 million yuan, and the inventory turnover days have been reduced from an average of 64 days to about 13 days now, thereby greatly reducing inventory costs and improving the turnover rate of consumables.

[0046] Preferably, in view of the characteristics of large number of ophthalmic surgeries and non-fixed operating rooms, the medical database of the present invention is set as a three-level database, including a first-level database, a second-level database and a third-level database, wherein the first-level database is the central warehouse database of the medical institution, the second-level database is the operating room warehouse database, and the third-level database is the operating room database. Upper and lower limits are set for each consumable in the three-level database. When the consumables in any level of the database are higher than the upper limit or lower than the lower limit, a warning message is output to the medical staff to provide guidance for the smooth and efficient circulation of consumables within the hospital.

[0047] During the data analysis process, it was found that in order to meet the charging target, free consumables were put into storage together with charged consumables during the combination sales. When used, only non-chargeable consumables were used, and chargeable consumables were not processed. The data discrepancy was caused by the lack of unified coding management. In addition, a small number of consumables are used multiple times and are charged on average according to the number of uses. The SPD coding of such consumables is only the packaging code. Since they are charged in installments, there is no charging code, which results in the charge being entered manually after use, resulting in inconsistent quantities in and out of the warehouse. Or there are problems such as inaccurate corresponding charging information.

[0048] In order to overcome the above problems, the present invention further improves the medical consumables information in the database, and the medical consumables information in the database includes the name of the consumables, the level of the medical consumables, the risk category, the registration certificate category, the medical consumables category, the purpose, function, material, specification, model, sales manufacturer, price, production batch number, production date and / or disinfection and sterilization date, etc., and in the process of using the consumables, the medical consumables are coded, and a one-to-one association relationship is established between the medical consumables code, the patient's charging code, and the medical insurance code. Thus, when the consumables are shipped out of the warehouse for use, the coding consistency can be effectively achieved. For the consumables used in batches, by counting the number of charging codes, the number of consumables can be accurately counted, and by associating with the charging code, the cost of the inventory and other information can also be easily counted. By classifying the categories of medical consumables, it is possible to effectively distinguish between charged consumables and non-charged consumables, improve the accuracy of the comparison, and reduce the error between the data in the database and the actual data.

[0049] The present invention involves relatively cumbersome data calculation and statistics. Due to the lack of strict professional software design supervision, it is often easy to cause errors in data statistical calculation methods. The present invention has the following advantages by building the above-mentioned basic database and monitoring indicators, and collecting information such as time, place, person, event, etc. during use:

[0050] 1. Real-time monitoring of sunshine purchasing rate;

[0051] 2. Data synchronization, no need for manual secondary entry, improving data utilization;

[0052] 3. Automatically correlate and check data to improve the accuracy of database data and the reliability of big data model training.

[0053] 4. It can realize the whole barcode management from contract management, purchase of medical consumables, distribution efficiency management, registration and coding for warehousing, scanning for entry and exit, and scanning for use, to ensure the smooth and safe development of clinical work.

[0054] The present invention is based on a big data model and can be expanded to multiple applications. Through the second data analysis step of the present invention, the hospital can find the cause in time when the first threshold is exceeded, and can correct the excessive use of consumables in time to reduce the cost of the hospital.

[0055] Through the third data analysis step of the present invention, the consumables usage of each doctor can be obtained on the basis of big data. If the consumables usage of individual doctors is too high, timely management and control can be carried out, and the comprehensive ability of doctors can be improved through training, communication and other means, thereby improving the overall level of the hospital.

[0056] The present invention also provides a medical consumables refined management system for implementing the medical consumables refined management method, comprising:

[0057] Database: used to store medical consumables information and provide basic data support for refined management of medical consumables;

[0058] Medical consumables dynamic management module: used to obtain the outbound and usage information of medical consumables during their use, link with the database, and dynamically update the database in real time;

[0059] Data cleaning module: used to clean and organize the original data;

[0060] The first data analysis module is used to predict the use cycle of various consumables based on the data processed by the data cleaning module, using a big data model, so as to achieve refined consumables management and control;

[0061] Procurement strategy output module: used to set the upper and lower limits of various types of consumables inventory based on the cycle predicted by the big data model. When a certain medical consumable exceeds the lower limit, the procurement plan of the medical consumable is output to provide a reference for the procurement behavior of procurement personnel.

[0062] Compared with the existing technology, the present invention relies on big data models to provide basic support for the refined management of medical consumables, especially surgical consumables. Through big data analysis and prediction, it provides scientific decision-making for the internal circulation of medical consumables in medical institutions, the management of doctors, the procurement of purchasing personnel, etc., which is conducive to reducing the inventory volume and inventory amount of medical institutions, and improving the turnover rate of consumables, thereby effectively reducing the inventory cost of medical institutions.

[0063] The specific implementation modes described above are preferred implementation modes of the present invention, and are not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to the specific implementation modes, and all equivalent changes made according to the present invention are within the protection scope of the present invention.

Claims

1. A method for refined management of medical consumables, characterized in that: include: Medical consumables database establishment steps: manage the storage of medical consumables and establish a database containing information on various types of medical consumables; Dynamic management steps for medical consumables: During the use of medical consumables, obtain the outbound and use information of medical consumables, link with the database, and dynamically update the database in real time; The first data analysis step: Based on database information and dynamically updated information, a big data model is used to predict the use cycle of various consumables to achieve refined consumables management and control; Procurement strategy output step: Based on the cycle predicted by the big data model, set the upper and lower limits of the inventory of various types of consumables. When a certain medical consumable exceeds the lower limit, output the procurement plan of the medical consumables to provide a reference for the procurement behavior of procurement personnel.

2. The method for refined management of medical consumables according to claim 1, characterized in that: It also includes a second data analysis step: based on the big data model, the consumables required for each operation are analyzed, and a first consumable usage model for each operation is output, wherein the first consumable usage model includes a first threshold value for the quantity of each type of consumables, and it is determined whether the consumables for the current operation exceed the first threshold value. If so, a warning message is output.

3. The method for refined management of medical consumables according to claim 2, characterized in that: It also includes a third data analysis step: based on the big model data, output the second consumables usage model of each doctor in the same operation, obtain the consumables usage of different doctors, and provide data support for the doctor's assessment score.

4. The method for refined management of medical consumables according to any one of claims 1 to 3, characterized in that: In the step of establishing a medical consumables database, a unique identification feature is attached to each consumable before the consumables are put into storage. When the consumables are put into storage, the relevant information of the consumables is obtained through the unique identification feature, and the relevant information of the consumables is put into the database.

5. The method for refined management of medical consumables according to claim 4, characterized in that: The unique identification feature includes a barcode or a QR code. In the production process, the consumables information is bound to the unique identification code information. In the dynamic management step of medical consumables, when medical consumables are entering or leaving the warehouse, the consumables information is input into or output from the database through a code scanning tool, thereby realizing dynamic updating of the database.

6. The method for refined management of medical consumables according to claim 4, characterized in that: It also includes a coding matching step: during the use of consumables, the medical consumables are coded, and a one-to-one association is established between the medical consumables code, the patient's charging code, and the medical insurance code.

7. The method for refined management of medical consumables according to any one of claims 1 to 3, characterized in that: The medical database is a three-level database, including a first-level database, a second-level database and a third-level database, wherein the first-level database is the central warehouse database of the medical institution, the second-level database is the operating room warehouse database, and the third-level database is the operating room database. Upper and lower limits are set for each consumable in the three-level database. When the consumables in any level of the database are higher than the upper limit or lower than the lower limit, an early warning message is output to medical staff to provide guidance for the circulation of consumables within the hospital.

8. The method for refined management of medical consumables according to any one of claims 1 to 3, characterized in that: The medical consumables information in the database includes the name of the consumables, the level of the medical consumables, the risk category, the registration certificate category, the category of the medical consumables, the purpose, function, material, specification, model, sales manufacturer, price, production batch number, production date and / or disinfection and sterilization date.

9. A medical consumables refined management system, used to implement the medical consumables refined management method according to any one of claims 1 to 7, characterized in that: include: Database: used to store medical consumables information and provide basic data support for refined management of medical consumables; Medical consumables dynamic management module: used to obtain the outbound and usage information of medical consumables during their use, link with the database, and dynamically update the database in real time; Data cleaning module: used to clean and organize the original data; The first data analysis module is used to predict the use cycle of various consumables based on the data processed by the data cleaning module, using a big data model, so as to achieve refined consumables management and control; Procurement strategy output module: used to set the upper and lower limits of various types of consumables inventory based on the cycle predicted by the big data model. When a certain medical consumable exceeds the lower limit, the procurement plan of the medical consumable is output to provide a reference for the procurement behavior of procurement personnel.

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