Unified Medication Purchasing System for 340B and GPO Optimization

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Solution Overview

Problem

Healthcare providers often fail to optimize medication ordering processes, leading to higher costs due to lack of complete information on total medication purchases and limited optimization of pricing programs like the 340B drug pricing program, resulting in missed savings opportunities.

Innovation Solution

A computing system, method, and computer program product that leverage aggregated information on historical medication usage and availability to determine a unified purchasing solution, optimizing purchases across different pricing programs such as 340B, GPO, and wholesaler/prime vendor programs, ensuring the medication is purchased at the lowest cost.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a health care provider orders medication from multiple different sources, then the provider can access various pricing programs (340B, GPO, wholesaler), but no single source has complete information on total medication purchases, resulting in inability to optimize ordering

Engineering Contradiction:
Improveaccess to various pricing programsVSAvoidcomplete information on total medication purchases
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent merges data from multiple medication sources into a single centralized system that aggregates purchase history across all sources. This allows the health care provider to access complete information on total medication purchases while maintaining access to various pricing programs through the unified interface.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a centralized computing system as an intermediary between the health care provider and multiple medication sources. This intermediary collects, aggregates, and analyzes purchase data from all sources, then provides optimized ordering recommendations that leverage complete information without requiring the provider to manually track multiple sources.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If the ordering process is not optimized in terms of pricing, then the process is simple and straightforward, but the health care provider pays more for medication and loses savings opportunities

Engineering Contradiction:
Improvesimplicity of ordering processVSAvoidsavings opportunities
Core Design Contradiction:
Ease of operationVSLoss of energy

Solution Approach 1:

The patent performs preliminary analysis of pricing options and purchase history before the actual ordering decision. The centralized system pre-calculates the most cost-effective pricing program for each medication based on aggregated data, so when the provider places an order, the optimization has already been performed in the background, maintaining simplicity while capturing savings.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms that provide the health care provider with information about pricing optimizations and savings opportunities. The system analyzes purchase patterns and provides recommendations on how to optimize future orders, allowing the provider to make informed decisions while maintaining ease of operation through automated analysis.

Inventive Principle:
Principle #23Feedback

3Loss of energy

If detailed analysis of pricing programs is performed to determine optimal purchasing solution, then savings are maximized, but computing resources and network resources are consumed

Engineering Contradiction:
ImprovesavingsVSAvoidcomputing resources and network resources
Core Design Contradiction:
Loss of energyVSUse of energy by moving object

Solution Approach 1:

The patent performs comprehensive pricing analysis and data aggregation in advance, storing processed information in the centralized system. When an order is placed, the system retrieves pre-analyzed data rather than performing new computations, significantly reducing real-time computing and network resource consumption while maintaining the ability to provide detailed savings analysis.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11430031B1Computing system and method for leveraging aggregated information to determine a unified purchasing solution
Publication Date: 2022.08.30 MCKESSON CORPORATION
  • US11430031B1 patent drawing
  • US11430031B1 patent drawing
  • US11430031B1 patent drawing

AI summary

A computing system and method leverage aggregated information regarding historical medication usage and medication availability to efficiently determine a unified purchasing solution. In a method, an order is received for a quantity of a medication. For a covered entity, a portion of the quantity of the medication that is able to be satisfied pursuant to a 340B program is determined based upon information regarding historical usage of the medication for outpatients and prior purchases under the 340B program. The method also includes determining the portions that are separately able to be satisfied pursuant to a group purchasing organization (GPO) program and a wholesaler/prime vendor program. The method further includes determining a proposed purchasing solution and to cause information regarding the proposed purchasing solution to be provided including information regarding savings based upon the prices of the medication for a respective period of time that was provided by the supplier.