Personalized Medicine Delivery Tracking Across Multi-Institution Workflows
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Solution Overview
Problem
The production of personalized medicine, particularly personalized cancer vaccines, involves multiple steps and organizations, making it difficult to accurately predict and manage the delivery date of administration items like vaccines, leading to potential delays and inefficiencies.
Innovation Solution
A management method and system that determines a predicted delivery date by estimating times for genetic analysis, recipe creation, and manufacturing, and communicates this information to terminals, while also managing progress, quality, and access control across multiple institutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personalized medicine production involves multiple steps and external vendors, then customization and adaptability are improved, but delivery date prediction and process management become more difficult
Solution Approach 1:
The patent introduces a management system as an intermediary platform that coordinates between hospitals, analysis institutions, recipe creation institutions, and manufacturing institutions. This central system integrates scattered processes, standardizes data exchange, and provides unified delivery date prediction, thereby reducing the complexity caused by multiple external vendors while preserving personalization capabilities.
Solution Approach 2:
The management system performs multiple functions including process coordination, data management, delivery date prediction, and quality control across all institutions. By consolidating these diverse functions into a single universal platform, the system reduces overall process management complexity while maintaining the ability to handle personalized medicine production requirements.
2Productivity
If multiple institutions are involved in vaccine production, then manufacturing capacity and expertise are improved, but information sharing and coordination become more difficult
Solution Approach 1:
The patent merges the information systems of multiple independent institutions into a single integrated management platform. This consolidation allows seamless data exchange between hospitals, analysis institutions, recipe creation institutions, and manufacturing institutions, eliminating information silos while preserving each institution's specialized manufacturing capacity and expertise.
3Adaptability or versatility
If personalized medicine is produced on order using external vendors, then flexibility and customization are improved, but delivery time prediction accuracy deteriorates
Solution Approach 1:
The management system implements feedback mechanisms that collect actual production data from each institution and use it to continuously refine delivery date predictions. By integrating real-time status information from analysis, recipe creation, and manufacturing processes, the system improves prediction accuracy while maintaining the flexibility of on-demand personalized medicine production.
Data Source
AI summary
A management method includes: a determination step in which the management system determines a predicted delivery date or a predicted required time when an administration item is delivered to a hospital by using an estimated time or an actual required time when an analysis institution analyzes a gene of a specimen of a patient, an estimated time or an actual required time when a creation institution creates a recipe of the administration item to a patient from a genetic analysis result, and/or an estimated time or an actual required time when a manufacturing institution manufactures the administration item according to the recipe; and a transmission step in which information for displaying the predicted delivery date or the predicted required time is transmitted to a terminal.