Dynamic Data Object Processing for Healthcare Information Systems
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Solution Overview
Problem
Current systems for managing and processing healthcare information/data fail to streamline multiple messages related to a single healthcare event into a coherent, computationally efficient, and user-friendly format, leading to resource strain and inconsistent data presentation.
Innovation Solution
A method and system that dynamically switch between real-time and deferred data processing based on message volume and resource availability, storing data objects in a first store until a user interaction event is detected, and then processing and storing them in a second store associated with an entity identifier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time data processing is used for all incoming messages, then data is processed immediately and user experience is responsive, but system resource strain increases significantly under high message volume
Solution Approach 1:
The system dynamically adjusts the data processing mode between real-time and deferred processing based on incoming message volume thresholds and resource availability thresholds. When message volume exceeds the threshold or resources are insufficient, the system switches from real-time processing to deferred processing, thereby adapting processing speed and resource consumption to current system conditions.
2Reliability
If all data objects are processed immediately upon receipt, then data consistency is maintained, but system productivity decreases due to continuous processing under high message volume
Solution Approach 1:
Instead of continuous real-time processing, the system implements periodic processing by batching data objects and processing them together when a user interaction event occurs. This periodic action reduces the frequency of processing operations while maintaining data consistency, thereby improving system throughput during high message volume periods.
3Use of energy by moving object
If deferred processing is used for all messages, then system resource consumption is reduced, but user experience suffers due to delayed data availability
Solution Approach 1:
The system dynamically selects between real-time and deferred processing modes based on current message volume and resource availability. When message volume is low and resources are充足, real-time processing is used to minimize delay. When message volume is high or resources are constrained, deferred processing is used to reduce resource consumption, thus dynamically optimizing the trade-off between speed and resource usage.
4Productivity
If multiple data stores are used for deferred processing, then data management becomes more complex, but data retrieval efficiency improves when user interaction events occur
Solution Approach 1:
The system segments data objects into different data stores based on their processing status: incoming data objects are stored in a first data store for deferred processing, while processed data objects are stored in a second data store associated with entity identifiers. This segmentation enables efficient retrieval during user interaction events while organizing data management through clear separation of concerns.
Data Source
AI summary
Various embodiments provide methods, systems, apparatus, computer program products, and/or the like for managing, ingesting, monitoring, updating, and/or extracting/retrieving information/data associated with an electronic record (ER) stored in an ER data store and/or accessing information/data from the ER data store.