Health Data Episode Segmentation for Rapid Clinical Review
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Solution Overview
Problem
Existing medical data management systems struggle to efficiently store and review large volumes of health data from wearable devices, particularly in real-time, making it difficult to identify and respond to clinically significant health events like cardiac conditions.
Innovation Solution
A medical data management system that includes a medical monitoring device and data management device, which processes health data to specify and store data blocks characterizing health events, stitches these blocks according to timelines, and provides a comprehensive data presentation for rapid review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large amounts of health data are collected by wearable medical devices, then comprehensive health monitoring capability is improved, but data storage efficiency and processing speed deteriorate
Solution Approach 1:
The patent segments continuous health data into discrete data blocks representing specific health events or episodes. Each data block contains data from a defined time period with clear start and end markers, allowing the system to process and store only relevant portions of the continuous data stream rather than all collected data, thereby improving processing efficiency while maintaining comprehensive monitoring capability
Solution Approach 2:
The patent extracts and identifies clinically significant health events from the continuous data stream by detecting specific patterns or thresholds. Only data blocks containing these extracted health events are prioritized for detailed storage and transmission, separating critical information from routine data and enabling faster processing of medically relevant information
2Loss of information
If continuous health data is stored without segmentation, then data completeness is improved, but retrieval and review efficiency deteriorate
Solution Approach 1:
The patent divides continuous health data into segmented data blocks, each representing a complete health event with defined boundaries. This segmentation maintains data completeness by ensuring all relevant event data is captured while enabling efficient retrieval by allowing clinicians to access specific events without reviewing entire continuous data streams, significantly reducing review time
Solution Approach 2:
The patent performs preliminary processing of continuous data to identify and mark health events before storage. Data blocks are pre-processed to include only relevant event information with temporal markers, so that when data is retrieved for review, it is already organized and ready for immediate clinical assessment without requiring additional processing time
3Productivity
If data blocks are separately stored, then storage efficiency and access speed are improved, but system complexity deteriorates
Solution Approach 1:
The patent implements segmentation of health data into standardized data blocks with consistent structure and formatting. This standardization simplifies the complexity of managing separate data blocks by providing uniform protocols for creation, storage, and retrieval, allowing fast access through efficient indexing while maintaining manageable system complexity through consistent data organization
Solution Approach 2:
The patent creates a universal data block structure that can represent multiple types of health events using the same framework. This multi-functional data block design reduces system complexity by providing a single standardized approach for handling diverse health data types, rather than requiring separate management systems for different event types, while still enabling fast access to specific event data
Data Source
AI summary
A medical data management system is provided that facilitates expedited review of health data for patient care. The medical data management system includes devices for collecting the health data, associating the health data with health events, optimizing storage of health data, and displaying comprehensive patient data for efficient and rapid review. The system includes a medical monitoring device that uses sensors to acquire health data and logic to specify data blocks of the data that characterize health episodes. Data management device(s) stitch the data blocks according to timelines and store the stitched data blocks as a full episode. The stitched data blocks are rendered for display, as a data presentation with timelines and graphic representations.