Health Management System Prioritizing Advice by User Importance Weights
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Solution Overview
Problem
Existing healthcare systems fail to provide advice on items of high importance and necessity for individual users, as they do not consider the varying importance and necessity of different health inspection items, leading to complicated and difficult-to-understand advice.
Innovation Solution
A healthcare system that determines and notifies advice contents based on the importance of each measurement item, using evaluation classifications and weights adjusted by gender, age, pre-existing diseases, and past inspection results, to select and prioritize items for personalized advice, which can be delivered via printed matter or mobile terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advice is provided on all measurement items, then comprehensive health coverage is achieved, but advice complexity increases and becomes difficult to understand
Solution Approach 1:
The patent segments health advice by dividing measurement items into multiple priority levels (first priority, second priority, third priority). This segmentation allows the system to present comprehensive health coverage while managing complexity by displaying only the most important advice items first, with less critical items following in order of importance.
Solution Approach 2:
The patent extracts and prioritizes critical advice items by setting importance weights for different measurement items based on user attributes (age, gender, health conditions). This extraction process identifies and separates high-priority advice from lower-priority advice, presenting only the most relevant information to users to reduce complexity while maintaining comprehensive coverage.
2Device complexity
If standardized advice is provided for all users, then system simplicity is maintained, but individualized health guidance is insufficient
Solution Approach 1:
The patent applies local quality by customizing advice priority weights according to individual user characteristics such as age, gender, and specific health conditions. Different measurement items are assigned different importance levels based on each user's unique profile, enabling personalized health guidance while maintaining a standardized system framework.
Solution Approach 2:
The patent introduces dynamics by making the importance weights of measurement items adjustable and adaptable to individual user needs. The system dynamically determines priority levels based on user attributes and health status, allowing the same measurement item to have different importance levels for different users, thus providing individualized guidance within a standardized system.
3Ease of operation
If all measurement items are evaluated equally, then fairness is maintained, but important health issues may be overlooked
Solution Approach 1:
The patent changes the evaluation parameter by introducing importance weights that modify how different measurement items are evaluated. Instead of treating all items equally, the system adjusts the evaluation parameters based on user-specific factors, ensuring that critical health issues receive appropriate attention while maintaining a fair and systematic evaluation process.
Data Source
AI summary
A healthcare system measures each item related to health; calculates an evaluation value from the measured measurement value, the evaluation value being classified into evaluation classifications of a standard evaluation, a positive evaluation, and a negative evaluation; sets the importance of an inspection result for each measurement item; selects a predetermined number of items in descending order of a weight of the importance and in which the classification is the negative evaluation; generates an inspection result from contents of the evaluation classification of the selected item; and determines and notifies the advice contents according to the inspection result, the notification being performed on a printed matter or a screen of a mobile terminal.