Health Data Output Control Using Reliability by Intended Use

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Solution Overview

Problem

Health information managed across different facilities and personal terminals may be unusable due to varying measurement conditions, leading to unsuitable content for its intended purpose.

Innovation Solution

A health data management device that acquires affiliation and intended-use information to control health data output based on measurement conditions, determining reliability degrees and adjusting output conditions accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If health data is output without controlling based on measurement conditions, then output process is simple, but data usability deteriorates

Engineering Contradiction:

Improveoutput process simplicityVSAvoiddata usability

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary actions by acquiring affiliation information and intended-use information before outputting health data. It calculates reliability degrees in advance based on measurement conditions, affiliation information, and intended-use information, then stores this pre-calculated reliability data for quick retrieval during output operations, avoiding complex real-time calculations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces reliability degree information as an intermediary element between health data and output destination. This intermediary carries information about measurement conditions and suitability for intended use, allowing the output process to be simplified while maintaining data usability through the mediating reliability assessment.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Speed

If health data is output without reliability assessment, then output speed is fast, but data quality deteriorates

Engineering Contradiction:

Improveoutput speedVSAvoiddata quality

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

Reliability degrees are calculated in advance based on measurement conditions, affiliation information, and intended-use information before actual output occurs. This pre-assessment allows fast output operations without sacrificing data quality evaluation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates a reliability degree copy or representation of the actual health data quality attributes. Instead of performing complex real-time measurements during output, it uses pre-calculated reliability degree copies that represent data quality, enabling fast output while maintaining quality control.

Inventive Principle:

Principle #26Copying

3Reliability

If reliability degree calculation is performed for all health data, then data quality control is improved, but processing complexity increases

Engineering Contradiction:

Improvedata quality controlVSAvoidprocessing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system applies local quality by calculating reliability degrees selectively based on specific measurement conditions, affiliation information, and intended-use information combinations. Rather than uniformly processing all health data with the same complexity, it adapts the reliability assessment to local characteristics of each data set and its intended use.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

Reliability degree calculations are performed in advance and stored for reuse. This preliminary processing avoids repeating complex calculations for every output operation, reducing processing complexity while maintaining data quality control through pre-established reliability assessments.

Inventive Principle:

Principle #10Preliminary action

4Adaptability or versatility

If health data is output without considering intended use, then output flexibility is high, but data suitability deteriorates

Engineering Contradiction:

Improveoutput flexibilityVSAvoiddata suitability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system uses reliability degree information as an intermediary that carries suitability characteristics for different intended uses. This intermediary allows flexible output to various destinations while maintaining data suitability by referencing the pre-calculated reliability assessment that considers intended-use information.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The reliability degree calculation mechanism serves multiple functions: it assesses data quality, determines suitability for different intended uses, and enables flexible output control. This universal mechanism handles various data types and output scenarios without requiring separate specialized processes for each case.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260045336A1Health data management device, health data management program, and health data management method

Publication Date: 2026.02.12 FUJIFILM CORP

AI summary

A health data management device includes a processor, in which the processor is configured to acquire affiliation information of an output destination of a plurality of health data measured under different measurement conditions, intended-use information, an output condition, determine a reliability degree for the health data from the measurement conditions based on the affiliation information and the intended-use information, and control whether or not to output the health data depending on the reliability degree and the output condition.