Medical Assistance Device Data Range Discrepancy Detection
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Solution Overview
Problem
Users of diagnostic assistance programs in the medical field face challenges in ensuring the reliability of diagnostic assistance information due to differences between designated and recommended data ranges, leading to potential misuse of data and unreliable results.
Innovation Solution
A medical assistance device and system that includes a program control unit, a designated data range receiving unit, a recommended data range acquisition unit, and a difference information output unit to compare and highlight differences between designated and recommended data ranges, ensuring accurate data usage and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users designate their own data range for diagnostic assistance programs, then ease of operation is improved, but reliability deteriorates due to potential mismatch with recommended ranges
Solution Approach 1:
The system provides feedback by displaying the recommended data range to users and notifying them when their designated range differs from the recommended range. This allows users to make informed decisions about whether to proceed with their designated range or adjust it to match recommendations, thus maintaining reliability while preserving ease of operation.
Solution Approach 2:
The system performs preliminary action by pre-calculating and storing the recommended data range based on the diagnostic assistance program requirements before the user designates their range. This recommended range is then presented to the user in advance, allowing them to understand the optimal parameters before making their designation.
2Reliability
If the system provides detailed information about data range discrepancies, then reliability is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential information needed for reliability - the recommended data range and a notification of discrepancy - without implementing complex validation or automatic correction mechanisms. This minimal extraction approach maintains reliability while avoiding increased device complexity.
3Reliability
If the system automatically adjusts designated data range to match recommended range, then reliability is improved, but ease of operation deteriorates due to loss of user control
Solution Approach 1:
The system practices self-service by providing the user with all necessary information (recommended range and discrepancy notification) and allowing the user to independently decide whether to adjust their designation. This maintains user control while ensuring reliability through informed decision-making.
Data Source
AI summary
There are provided a medical assistance device, an operation method of a medical assistance device, a non-transitory computer-readable recording medium, and a medical assistance system allowing a user to use a diagnostic assistance program with confidence. A comparison determination unit compares a designated data range, which is designated as a range to be used for input data of a diagnostic assistance program, with a recommended data range, which is set for each diagnostic assistance program and is recommended as a range to be used for input data. The comparison determination unit outputs information regarding surplus data, which is data outside the recommended data range in the designated data range, and information regarding missing data, which is data outside the designated data range in the recommended data range. A difference information output unit outputs the information of the surplus data or the missing data as difference information.


