Medical Data Output Device for Time-Series Causal Relationship Recognition
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Solution Overview
Problem
Existing medical data output devices are inadequate in recognizing causal relationships between time-series data, as they lack sufficient functionality to associate specific points in time across multiple data sets, leading to inefficiencies in medical care planning and diagnosis.
Innovation Solution
A data output device with a screen data generation unit, association instruction reception unit, and association processing unit that allows for the association of arbitrary positions in time-series data, enabling the display of causal relationships through association indicators and comments, and storage of this information for later review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If time-series data from multiple sources are displayed separately, then data integrity is maintained, but causal relationships between data points cannot be recognized
Solution Approach 1:
The patent combines multiple time-series data from different sources into a single integrated display screen, allowing causal relationships to be visually recognized. The screen data generation unit merges data from vital sign monitors, infusion pumps, and other medical devices while maintaining their individual characteristics through distinctive markers and color coding.
Solution Approach 2:
The patent introduces an association indicator as an intermediary element that connects data points from different sources. These indicators serve as visual mediators that show causal relationships between data points without directly merging the underlying data streams, allowing users to trace connections between events such as medication administration and physiological responses.
2Measurement precision
If detailed time-series data are displayed, then diagnostic accuracy is improved, but identification of causal relationships becomes difficult
Solution Approach 1:
The patent uses color changes and distinctive markers to highlight data points with causal relationships. Different colors and patterns are assigned to indicate various types of associations, such as causal relationships, correlative relationships, or temporal sequences, making it easy to identify connections among detailed data points without overwhelming the user.
Solution Approach 2:
The patent segments the display into different functional areas: a main display area showing detailed time-series data with high resolution for diagnostic accuracy, and an overview area showing association indicators that highlight causal relationships. This segmentation allows users to simultaneously access both detailed data and relationship information without confusion.
3Loss of information
If multiple data sources are integrated into one display, then causal relationships become visible, but data management complexity increases
Solution Approach 1:
The patent implements a universal data management system that can handle multiple data sources through a common interface and standardized processing methods. The screen data generation unit is designed to accept data from various medical devices and processing systems, applying uniform association rules and display formats regardless of the source, thereby reducing management complexity while maintaining comprehensive integration.
Data Source
AI summary
A data output device, a data output method, and a data output program capable of allowing a causal relationship in a plurality of items of time-series data to be simply recognized are provided.A data distribution server receives a distribution request from a client terminal, and generates a data display screen which is displayed by the client terminal. The data display screen includes a first display area in which time-series data indicating a transition of a state of a patient or content of medical care performed on the patient is displayed in a graph. In the first display area, association indicators which associate one arbitrary point of each of the plurality of pieces of time-series data can be assigned and displayed.