Context Information Processing System for Medical Data
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Solution Overview
Problem
Existing remote patient management systems are limited by their ability to support only specific patient identification technologies, requiring software upgrades or new implementations when switching technologies, which restricts the customer base and incurs additional costs.
Innovation Solution
A context information processing system that includes an acquisition processor to identify and process configuration information from various patient identification tag reader devices, an interpreter to convert data into a standardized format, and a context processor to update patient records, enabling seamless integration of different technologies such as RFID, barcode, and smart cards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system is dedicated to a specific identification technology, then the system operation is simplified and reliable, but the adaptability to different technologies is reduced
Solution Approach 1:
The system employs a universal patient identification management platform that can interface with multiple identification technologies (barcodes, RFID tags, smart cards) through a common architecture. The platform uses standardized data formats and protocols to process different identification types, allowing a single system to serve multiple functions without sacrificing operational reliability.
Solution Approach 2:
The patent introduces an intermediary layer consisting of translation software and configuration files that mediate between different identification technologies and the core management system. This intermediary translates various identification formats into a standardized internal format, enabling the system to handle multiple technologies while maintaining consistent and reliable operation.
2Adaptability or versatility
If the system supports multiple identification technologies, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The system architecture is segmented into distinct modular components: identification device drivers, translation layers, configuration management modules, and core patient management functions. Each technology type is handled by separate, interchangeable modules that can be independently configured and maintained, reducing overall system complexity while supporting multiple technologies.
Solution Approach 2:
The system uses configurable parameters and metadata to adapt to different identification technologies without changing the core system structure. By storing technology-specific information in configurable files and databases, the system can dynamically adjust its behavior based on the selected technology, maintaining simplicity while achieving versatility.
3Adaptability or versatility
If a software upgrade is performed to switch technologies, then the system can support new technology, but the implementation cost and time increase
Solution Approach 1:
The system is pre-configured with support for multiple identification technologies through built-in device drivers and translation capabilities. Configuration files and metadata templates are prepared in advance for different technology types, allowing rapid switching by simply changing configuration parameters rather than performing time-consuming software upgrades.
Solution Approach 2:
The system employs dynamic configuration capabilities that allow technology switching without system downtime or reinstallation. The architecture enables runtime configuration changes where the system can adapt to new technologies on-the-fly by loading appropriate configuration files and activating corresponding device drivers, eliminating the need for planned software upgrade cycles.
4Adaptability or versatility
If alternative implementations are provided for each technology, then the system supports multiple protocols, but the manufacturing cost and complexity increase
Solution Approach 1:
The system implements a universal patient identification management platform that handles multiple protocols through a single codebase. The platform uses standardized data structures and communication protocols at the application layer, allowing it to work with different identification technologies without requiring separate software implementations for each protocol.
Solution Approach 2:
The system uses template-based configuration files and metadata structures that can be copied and adapted for different technologies. Rather than developing unique software implementations for each protocol, the system creates reusable configuration templates that define technology-specific parameters, reducing development costs while maintaining protocol support.
Data Source
AI summary
A context information processing system used for accessing medical data includes an acquisition processor for acquiring configuration information indicating a type of a particular patient identification tag reader device of a plurality of different types of tag reader device and a format of patient identification data used by the particular patient identification tag reader device. An interpreter processes patient identification data received from the particular patient identification tag reader device using the received configuration information to provide a particular patient identifier. A context processor updates a record indicating that a current patient context, including a patient identifier, is compatible with the particular patient identifier.