Medical Data Display Apparatus for Multi-Facility Diagnostics
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Solution Overview
Problem
In medical diagnostics, healthcare professionals face inefficiencies when accessing and managing medical data across multiple facilities, as they need to search and acquire all relevant data, which can be cumbersome and often results in the display of unnecessary data, hindering the diagnostic process.
Innovation Solution
A medical information processing apparatus that estimates diagnostic findings, extracts and displays relevant medical data from both local and remote facilities, and prompts users to acquire missing data, allowing for efficient and targeted data acquisition and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all relevant medical data is acquired from multiple facilities, then completeness of diagnostic data is improved, but data acquisition complexity and time consumption increase
Solution Approach 1:
The system performs preliminary actions by automatically searching for and acquiring lacked medical data from other facilities before the diagnostic process begins. The data acquisition unit proactively retrieves necessary data without requiring manual intervention, preparing the complete diagnostic dataset in advance.
Solution Approach 2:
The medical information processing apparatus acts as an intermediary between multiple medical facilities and the diagnostic system. It manages data acquisition from external facilities, filters and integrates the data, and presents it to the diagnostic system, thereby simplifying the complex multi-facility data collection process.
2Reliability
If comprehensive medical data from multiple facilities is displayed, then diagnostic accuracy is improved, but information overload and usability decrease
Solution Approach 1:
The display control unit extracts and displays only the lacked medical data that is relevant to the diagnostic findings, separating essential information from unnecessary data. It presents supplemented data in a focused manner while hiding or minimizing display of redundant information from multiple facilities.
Solution Approach 2:
The system applies different display qualities to different data sources and types. Lacked medical data that is critical for diagnosis is displayed with high visibility and detail, while other data is displayed with reduced prominence or aggregated, creating a hierarchical display structure that prioritizes diagnostic relevance.
3Measurement precision
If manual judgment is used to determine lacked medical data, then data relevance is improved, but operational efficiency decreases
Solution Approach 1:
The system performs self-service by automatically determining lacked medical data based on diagnostic findings without requiring manual judgment. The data acquisition unit autonomously identifies what data is missing and retrieves it, while the display control unit automatically determines what data to display, eliminating manual intervention entirely.
Solution Approach 2:
The system uses feedback from diagnostic findings to automatically adjust data acquisition and display. The determination unit receives feedback about diagnostic results and uses this information to identify lacked data that needs to be acquired and displayed, creating a closed-loop system that adapts to diagnostic needs without manual input.
Data Source
AI summary
A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry sets, as a finding, an item related to diagnosis of a subject; disposes, in an identical screen in accordance with the finding, each display region for displaying a piece of medical data related to diagnosis of the subject; and displays the medical data extracted from a first facility in the display region for displaying the medical data and displays the lacked medical data extracted from a second facility, together with information that identifies the second facility from which the extraction is made, in the display region for displaying the lacked medical data.