Networked Intelligent Injection Devices for Medication Supply Visibility
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Solution Overview
Problem
Conventional data collection and analytic techniques for tracking intelligent injection devices lack validation, leading to inaccurate and unreliable data on individual user and clinic usage, complicating continuity of care across medical facilities and potentially damaging temperature-sensitive medications.
Innovation Solution
A cloud-based medication tracking system with intelligent injection devices, employing machine learning, blockchain verification, and digital twin technology for real-time monitoring and simulation, enabling accurate data collection and management of injectable pharmaceuticals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional data collection techniques are used to track injection devices, then the system is simpler, but data accuracy and reliability deteriorate
Solution Approach 1:
The patent introduces an intermediary cloud-based platform that mediates between injection devices and healthcare systems. This platform collects, validates, and standardizes data from multiple devices, improving data accuracy without requiring complex modifications to individual devices. The intermediary handles data normalization, verification against clinical guidelines, and seamless integration with electronic health records.
Solution Approach 2:
The patent creates a digital copy or twin of the injection device and its usage data in the cloud. This virtual replica maintains accurate records of device operation, medication administration, and patient responses without physically modifying the actual devices. The digital twin enables comprehensive data tracking and analysis while preserving the simplicity of the physical injection devices.
2Reliability
If real-time monitoring is implemented, then continuity of care is improved, but system complexity increases
Solution Approach 1:
The patent implements automated feedback loops where the cloud platform continuously monitors injection device data, compares it against clinical guidelines and patient history, and provides real-time recommendations. The system detects anomalies such as missed doses, improper storage conditions, or potential drug interactions, and automatically alerts healthcare providers to intervene and maintain continuous quality care.
Solution Approach 2:
The patent performs preliminary actions by pre-configuring monitoring parameters, alert thresholds, and care protocols in the cloud platform before issues arise. The system proactively identifies potential problems such as approaching medication expiration dates, predicted supply chain disruptions, or patterns indicating non-compliance, and initiates preventive interventions to maintain continuity of care.
3Loss of information
If comprehensive tracking is implemented, then supply chain visibility is improved, but data management complexity increases
Solution Approach 1:
The patent segments the supply chain tracking into distinct modules within the cloud platform: device manufacturing tracking, distribution monitoring, storage condition verification, administration confirmation, and patient outcome tracking. Each module handles specific data types and can operate independently, making the overall data management system more manageable despite comprehensive coverage. The segmentation allows specialized algorithms to process each data type efficiently.
Solution Approach 2:
The patent designs the cloud platform as a universal system that handles multiple functions: data collection from diverse device types, validation against varying clinical guidelines, supply chain analytics, fraud detection, and integration with different healthcare information systems. This multi-functional approach consolidates what would otherwise require multiple separate systems into a single unified platform, reducing overall data management complexity.
Data Source
AI summary
A method, computer program product, and computer system for a cloud-based medication tracking system. The system may include a plurality of intelligent injection devices across multiple healthcare facilities, each having: a barrel in fluid communication with a needle, a piston including a plunger, a microprocessor, a wireless communication module a supply chain tracking system configured to: monitor distribution of an injectable medication, verify availability of the injectable medication, track a global medication delivery pattern relating to the injectable medication, a machine learning system trained to: analyze medication usage data across healthcare entities, predict a supply chain event, optimize an inventory level, and improve a distribution datum.