Accurate quantity reporting system based on drug collection
By designing an accurate measurement reporting system in the centralized drug purchasing system and using historical dosage calculation and forecasting models, the problem of inaccurate reporting in drug centralized purchasing has been solved and more efficient procurement and resource management have been achieved.
Patent Information
- Application Number
- CN202411567615.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-05
- Publication Date
- 2025-01-17
AI Technical Summary
During the drug procurement process, the hospital's inaccurate reporting volume caused the purchase volume to be completed in full, resulting in waste of resources and increased inventory costs.
Design an accurate dosage reporting system based on centralized drug procurement, including a historical dosage calculation module, a first measured dosage module, and a second measured dosage module. By constructing a drug pairing conversion relationship, the historical actual dosage, measured dosage, and predicted dosage of drugs are calculated. , to ensure the accuracy of reporting.
It achieves accurate reporting of drug procurement, improves procurement efficiency, reduces inventory costs, and optimizes resource allocation.
Smart Images
Figure CN119324041A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of centralized drug procurement, and in particular to an accurate quantity reporting system based on centralized drug procurement. Background Art
[0002] National drug centralized procurement refers to a procurement method in which the state organizes centralized procurement of drugs with volume, determines the winning bid price and supplier of drugs through bidding, and signs a procurement contract. The main purpose of national drug centralized procurement is to form a large-scale group purchase effect through centralized procurement, reduce drug prices, and reduce the burden on patients. Through price negotiations with drug manufacturers at the national level, the price can be exchanged for volume, which can significantly reduce the inflated prices of drugs.
[0003] Among so many batches of drug procurement released by the current national centralized procurement, there are still a majority of hospitals that have not fully completed the agreed procurement volume in each batch. One of the important reasons is "inaccurate reporting of quantities", that is, when the hospitals initially reported the usage volume, due to various reasons, such as failure to consider clinical rational drug use, failure to consider actual environmental conditions, etc., resulting in errors in the measurement. Summary of the invention
[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide an accurate quantity reporting system based on drug centralized procurement, which can realize accurate quantity reporting of drug purchases during the drug centralized procurement process, improve procurement efficiency, help reduce inventory costs, and optimize resource allocation.
[0005] To achieve the above-mentioned purpose, the present invention adopts the following scheme: a precise dosage reporting system based on drug centralized procurement, comprising:
[0006] The historical usage calculation module is used to count the usage of drugs of different specifications based on the established drug pairing conversion relationship and the conversion relationship maintained independently by the hospital, and obtain the historical actual usage of each drug variety using the calculation method of medication unit and pricing unit;
[0007] The first dosage calculation module is used to calculate the dosage of each drug type by using the historical actual dosage, historical reported dosage and historical actual completion rate to obtain a reasonable value of drug dosage;
[0008] The second dosage calculation module is used to calculate the predicted dosage of each type of medicine by using the historical actual dosage and the reasonable value of the medicine dosage.
[0009] Optionally, the historical usage calculation module includes:
[0010] A drug pairing conversion unit is used to construct a drug basic database and pair the drug basic database with hospital data to obtain a drug pairing conversion relationship; the drug basic database includes drug centralized procurement information, drug reported quantity information, hospital information, hospital business information and drug centralized procurement task information;
[0011] The calculation unit is used to calculate the actual historical usage of the drug in the medication unit and the pricing unit according to the drug pairing conversion relationship, and the calculation formula is:
[0012]
[0013] Among them, S1 and S'1 are the actual historical usage of a certain variety, S2 and S'2 are the usage of each drug under the variety, S3 and S'3 are the usage of the same drug in different pricing units, D1 is the numerator of the content unit conversion, D2 is the denominator of the pricing unit conversion, D3 is the denominator of the content unit conversion, D4 is the numerator of the pricing unit conversion, D5 is the numerator of the task unit conversion, and D6 is the denominator of the task unit conversion.
[0014] Optionally, the drug pairing conversion unit includes:
[0015] The drug parsing subunit is used to analyze the drug names, dosage forms, specifications, manufacturers and approval numbers of all drugs in the hospital data using natural semantic parsing technology, and remove drug names containing special symbols and without dosage forms to extract the drug's valid name, manufacturer's valid words and specification data to obtain parsing elements, and then integrate the parsing elements with the drug's medical insurance code and NDC information to obtain drug-related data;
[0016] The conversion subunit is used to use comparison, permutation and combination and set operation to match the drug-related data with the drug basic database, and set a pairing number, then analyze and group all the drugs in the hospital, analyze all drug instructions, and integrate the drugs with the same indications in the analysis results into one variety.
[0017] Optionally, the calculation formula for the reasonable value of the drug dosage is:
[0018]
[0019] Among them, Y1 and Y'1 are the system-calculated usage of a certain variety, and B1 and B'1 are the set percentage values.
[0020] Optionally, the formula for predicting the dosage is:
[0021]
[0022] Among them, Y2 is the systematically calculated dosage of a certain variety, and B2 is the irrational use of drugs.
[0023] The present invention discloses the following technical effects by providing an accurate dosage reporting system based on drug centralized procurement:
[0024] Accurate reporting of quantities: It can help users to report quantities more accurately and conveniently when reporting the initial quantities of centralized procurement batches. According to the user's settings, it can provide historical procurement and usage data within a set time, and combine the judgment results of clinical rational drug use and the influence of specific environmental factors (such as epidemics) to perform systematic intelligent calculations on the procurement volume of new batches or renewal batches, so as to achieve accurate reporting of quantities, improve procurement efficiency, reduce resource waste, and help improve drug quality and supply security.
[0025] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0027] Figure 1 A schematic diagram of a system architecture provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0029] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.
[0030] like Figure 1 As shown, the present invention provides an accurate quantity reporting system based on drug centralized procurement, comprising:
[0031] 1. Historical usage calculation module
[0032] When reporting renewal batches and new batches, the system will report and count the quantities by type. Based on the established drug pairing conversion relationship (for each hospital, the program will automatically match the hospital's data with the drug basic database, and this behavior will be automatically performed every day when new data is received) and the hospital's self-maintained conversion relationship, statistics are collected on the use of drugs of different specifications, and the actual historical usage of each type of drug is obtained by using the dosage unit calculation method (i.e., content unit calculation method) and the pricing unit calculation method (i.e., task unit calculation method). The historical usage calculation module includes:
[0033] 1.1 Drug pairing conversion unit
[0034] A drug basic database is constructed, and the drug basic database is matched with hospital data to obtain a drug matching conversion relationship. The drug basic database includes drug centralized procurement information, drug reported quantity information, hospital information, hospital business information, and drug centralized procurement task information.
[0035] The drug pairing conversion unit comprises:
[0036] 1.11 Drug Analysis Subunit
[0037] Using natural semantic parsing technology, analyze the drug names, dosage forms, specifications, manufacturers and approval numbers of all drugs in hospital data, and remove drug names containing special symbols and without dosage forms to extract the effective drug names, manufacturer effective words and specification data to obtain parsed elements, and then integrate the parsed elements with the drug's medical insurance code and NDC information to obtain drug-related data;
[0038] 1.12 Conversion subunit
[0039] By using comparison, permutation and combination, and set operations, the drug-related data is matched with the drug basic database (identical matching, combination matching, same subset number, string regular matching, or hash value matching), and a matching number is set. Then, all the drugs in the hospital are analyzed and grouped, all drug instructions are analyzed, and the drugs with the same indications in the analysis results are integrated into one variety. Such drugs have a wider coverage and are more reasonable when reporting quantities. In the next step, when summarizing the actual usage of each drug, the system intelligently eliminates unreasonable situations, such as changes in medical prescriptions, refunds, etc.
[0040] 1.2 Computational Unit
[0041] According to the drug pairing conversion relationship, the actual historical usage of the drug in the medication unit and the pricing unit are calculated respectively.
[0042] Because the specifications of drugs vary greatly, after analyzing the overall calculation methods of medical institutions, two calculation methods, "task unit" and "content unit", are given.
[0043] Content unit calculation: Analyze the drug specifications, obtain the drug administration unit, select a representative unit from the administration unit as the content unit, and convert the historical actual usage of the drug according to the content unit (that is, take the most representative administration unit as the content unit, and use it as the basis in turn to convert all drugs to the current unit). The conversion formula is:
[0044]
[0045] Among them, S1 is the actual historical usage of a certain variety, S2 is the usage of each drug under the variety, S3 is the usage of the same drug in different pricing units, D1 is the numerator of the content unit conversion, D2 is the denominator of the pricing unit conversion, D3 is the denominator of the content unit conversion, and D4 is the numerator of the pricing unit conversion.
[0046] Task unit calculation: Analyze the drug specifications, obtain the drug pricing unit, select a representative unit from the pricing unit as the task unit, and convert the historical actual usage of the drug according to the task unit. The conversion formula is:
[0047]
[0048] Among them, S'1 is the actual historical usage of a certain variety, S'2 is the usage of each drug under the variety, S'3 is the usage of the same drug in different pricing units, D2 is the denominator of the pricing unit conversion, D4 is the numerator of the pricing unit conversion, D5 is the numerator of the task unit conversion, and D6 is the denominator of the task unit conversion.
[0049] Task unit: The unit corresponding to the centralized procurement task volume (i.e. the contractually agreed volume). Common ones include box, stick, tablet, granule, bag, etc.
[0050] Content unit: Mainly used for conversion between drugs of different specifications, common ones are mg, g, ml, etc.
[0051] Specific calculation method: When calculating the dosage, it involves choosing a unit. All drugs of the same type will be converted to that unit and added or the ratio will be calculated. Since the specifications of different drugs of the same type may be different, the results of the two units will also be different.
[0052] Example: There are two drugs, A and B, for Atorvastatin Calcium Tablets. The task unit is tablets and the content unit is mg. The total task of drug A is 30 tablets, which need to be divided into subject 1 and subject 2. Subject 1's historical usage: 10 tablets of drug A (1 tablet = 10 mg); Subject 2's historical usage: 10 tablets of drug B (1 tablet = 20 mg).
[0053] If calculated by task unit, the total amount of atorvastatin calcium tablets used in history is 10 tablets + 10 tablets = 20 tablets. At this time, the usage ratio of objects 1 and 2 is 1:1. According to the historical usage ratio of the same type of drugs, the task volume to be allocated to object 1 is 30 tablets × (1 / 2) = 15 tablets, and the task volume to be allocated to object 2 is 30 tablets × (1 / 2) = 15 tablets.
[0054] If calculated by content unit, the total amount of atorvastatin calcium tablets used in history is 10mg×10 tablets+20mg×10 tablets=300mg. At this time, the usage ratio of subjects 1 and 2 is 1:2. According to the historical usage ratio of the same type of drugs, the task volume for subject 1 is 30 tablets×(1 / 3)=10 tablets, and the task volume for subject 2 is 30 tablets×(2 / 3)=20 tablets.
[0055] 2. The first usage measurement module
[0056] The historical actual dosage is used (based on it), and combined with the historical reported dosage and the historical actual completion rate, the measured dosage of each drug variety in the content unit and the reported dosage unit is calculated (the percentage value is calculated) to obtain the reasonable value of drug dosage; the calculation formula for the reasonable value of drug dosage is:
[0057] Calculated in units of content:
[0058]
[0059] Calculated by reported quantity unit:
[0060]
[0061] Among them, Y1 and Y'1 are the system-calculated usage of a certain variety, and B1 and B'1 are the set percentage values.
[0062] 3. Second usage measurement module
[0063] The predicted dosage of each drug variety is calculated by using the historical actual dosage and the reasonable value of the drug dosage, and excluding irrational drug use (taking into account the interaction between drugs).
[0064] For example, the predicted dosage is based on the "actual historical dosage", and the system automatically excludes unreasonable drug use, environmental factors in the same period, etc. When excluding unreasonable drug use, the system will automatically capture the drug use in the doctor's orders and prescriptions, and then make judgments based on the review logic library of the existing pre-review and review system. The logic library contains a variety of unreasonable drug use sections (such as off-indications, off-contraindications, multi-day medication, etc.). Once it is judged as unreasonable drug use by the system, it will be excluded in the final calculation of dosage, so as to ensure that the calculated value is more reasonable clinically. Similarly, the system will automatically use the message queue to asynchronously adjust the value with the hospital's existing drug payment, prescription and review data combined with the batch drug data in the Mekang system, and then make corresponding judgments based on the background of the drug's historical use.
[0065] The formula for predicting usage (calculated in content units and reported quantity units) is:
[0066]
[0067] Among them, Y2 is the systematically calculated dosage of a certain variety, and B2 is the irrational use of drugs.
[0068] 4. Selectively combine clinical opinions
[0069] Because the reported dosage involves referring to the opinions of doctors in clinical departments, in addition to the system calculating the actual dosage and predicted dosage, it can also collect clinical opinions (for reference) and then adjust the reported dosage value based on the clinical opinions.
[0070] Therefore, the present invention provides an accurate quantity reporting system based on drug centralized procurement, which can achieve accurate quantity reporting of drug purchases during the drug centralized procurement process, improve procurement efficiency, help reduce inventory costs, and optimize resource allocation.
[0071] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.
[0072] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of the present invention. At the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.
Claims
1. A precise quantity reporting system based on drug centralized procurement, characterized in that: include: The historical usage calculation module is used to count the usage of drugs of different specifications based on the established drug pairing conversion relationship and the conversion relationship maintained independently by the hospital, and obtain the historical actual usage of each drug variety using the calculation method of medication unit and pricing unit; The first dosage calculation module is used to calculate the dosage of each drug type by using the historical actual dosage, historical reported dosage and historical actual completion rate to obtain a reasonable value of drug dosage; The second dosage calculation module is used to use the historical actual dosage and the reasonable value of the drug dosage, and combine the interaction between drugs to calculate the predicted dosage of each type of drug.
2. According to claim 1, a precise dosage reporting system based on drug centralized procurement is characterized in that: The historical usage calculation module includes: A drug pairing conversion unit is used to construct a drug basic database and pair the drug basic database with hospital data to obtain a drug pairing conversion relationship; the drug basic database includes drug centralized procurement information, drug reported quantity information, hospital information, hospital business information and drug centralized procurement task information; The calculation unit is used to calculate the actual historical usage of the drug in the medication unit and the pricing unit according to the drug pairing conversion relationship, and the calculation formula is: Among them, S1 and S'1 are the actual historical usage of a certain variety, S2 and S'2 are the usage of each drug under the variety, S3 and S'3 are the usage of the same drug in different pricing units, D1 is the numerator of the content unit conversion, D2 is the denominator of the pricing unit conversion, D3 is the denominator of the content unit conversion, D4 is the numerator of the pricing unit conversion, D5 is the numerator of the task unit conversion, and D6 is the denominator of the task unit conversion.
3. According to claim 2, a precise dosage reporting system based on drug centralized procurement is characterized in that: The drug pairing conversion unit comprises: The drug parsing subunit is used to analyze the drug names, dosage forms, specifications, manufacturers and approval numbers of all drugs in the hospital data using natural semantic parsing technology, and remove drug names containing special symbols and without dosage forms to extract the effective drug names, manufacturer effective words and specification data to obtain parsed elements, and then integrate the parsed elements with the medical insurance code and NDC information of the drug to obtain drug-related data; The conversion subunit is used to use comparison, permutation and combination and set operation to match the drug-related data with the drug basic database, and set a pairing number, then analyze and group all the drugs in the hospital, analyze all drug instructions, and integrate the drugs with the same indications in the analysis results into one variety.
4. According to claim 3, a precise dosage reporting system based on drug centralized procurement is characterized in that: The calculation formula for the reasonable value of the drug dosage is: Among them, Y1 and Y'1 are the system-calculated usage of a certain variety, and B1 and B'1 are the set percentage values.
5. According to claim 4, a precise dosage reporting system based on drug centralized procurement is characterized in that: The formula for predicting the dosage is: Among them, Y2 is the systematically calculated dosage of a certain variety, and B2 is the irrational use of drugs.