Medical Data Segmentation for Efficient Viewing
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Solution Overview
Problem
Unorganized medical data collected from various devices and clinicians is challenging for clinicians to view efficiently, leading to potential belated or misdiagnosis due to the lack of a suitable format for presentation.
Innovation Solution
A system that identifies measurements and parameters from unorganized medical datasets, determines the associated medical device, and displays a subset of the data in a format more suitable for viewing, based on device type, manufacturer, or clinician preferences, to facilitate easier interpretation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medical data is arranged in a compact storage format to optimize space allocation, then storage efficiency is improved, but data accessibility and ease of viewing by clinicians deteriorates
Solution Approach 1:
The patent segments medical data by organizing it according to the specific medical device that generated each data point. This segmentation allows the system to efficiently retrieve and display only relevant data from multiple devices, resolving the contradiction between compact storage and efficient viewing by creating a structured index that enables rapid access without requiring full data expansion in memory.
Solution Approach 2:
The patent introduces an intermediary processing layer that acts as a mediator between the compactly stored data and the clinician's viewing interface. This intermediary automatically formats and presents data in a clinically relevant manner, eliminating the need for clinicians to manually navigate raw stored formats while maintaining efficient storage utilization.
2Quantity of substance
If data from multiple devices are arranged without separation to maximize data density, then storage capacity utilization is improved, but data distinguishability and identification difficulty worsens
Solution Approach 1:
The patent applies local quality by assigning device-specific organizational characteristics to different portions of the data set. Each device's data is tagged and structured with its source identification, allowing the system to maintain high data density while enabling clinicians to easily distinguish and filter data by device origin through the viewing interface.
Solution Approach 2:
The patent employs visual differentiation techniques (analogous to color changes) where data from different devices is presented with distinct visual identifiers in the viewing interface. This allows clinicians to quickly distinguish between data sources without increasing storage requirements, as the differentiation is applied during data retrieval and presentation rather than in the raw storage format.
3Quantity of substance
If medical data is stored in an encoded format to reduce storage requirements, then storage efficiency is improved, but data interpretability without specialized knowledge deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-processing and structuring data during storage with metadata that includes device identification and parameter type information. This preliminary organization enables the system to automatically interpret and present encoded data in clinically meaningful formats without requiring clinicians to possess specialized decoding knowledge, thus maintaining both storage efficiency and data interpretability.
Data Source
AI summary
Methods, systems, and devices for wireless patient monitoring and medical sensing are described. The methods, systems, and devices may include functionality for receiving a medical dataset associated with a patient, the medical dataset including a plurality of physiological measurements taken from the patient and a plurality of parameters associated with the plurality of physiological measurements. The methods, systems, and devices may also identify one or more groups of parameters from the plurality of parameters within the medical dataset, determine at least a medical device type from which at least a portion of the plurality of physiological measurements were measured, the determining based at least in part on the one or more identified groups of parameters; and display at least a subset of the plurality of physiological measurements from the medical dataset.