Health Management Device Using Simulation Model for Continuous Feedback
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Solution Overview
Problem
Individuals struggle to monitor changes in their health condition between medical examinations, making it difficult to assess the effectiveness of healthy actions taken.
Innovation Solution
A health management device that acquires medical examination information and effort information related to healthy actions, uses a training model to calculate an estimation value for each examination item, and presents this information to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a person receives medical examination again to know health condition improvement, then measurement precision of health condition is improved, but loss of time and device complexity increase
Solution Approach 1:
The patent introduces a simulation system as an intermediary between the medical examination system and the user. This simulation system uses a training model to estimate health condition changes based on effort information, providing continuous feedback without requiring repeated medical examinations. The simulation system acts as a mediator that translates effort data into estimated health outcomes, resolving the contradiction by eliminating the need for frequent physical examinations while maintaining measurement precision through computational modeling.
Solution Approach 2:
The patent replaces the mechanical medical examination process with a computational simulation system. Instead of physically visiting a hospital for repeated examinations, users can input effort information into the simulation system, which then calculates estimated health condition changes using a training model. This substitution of mechanical examination with computational modeling maintains measurement precision while significantly reducing time loss and improving ease of operation.
2Measurement precision
If a person receives medical examination again to know health condition improvement, then measurement precision of health condition is improved, but device complexity increases
Solution Approach 1:
The simulation system serves as an intermediary that simplifies the overall system architecture. Instead of requiring complex repeated medical examination processes, the system uses a training model to simulate health condition changes based on effort information. This intermediary simulation approach maintains measurement precision while reducing device complexity by eliminating the need for repeated physical examination infrastructure.
Solution Approach 2:
The patent replaces complex mechanical medical examination systems with a computational simulation system. The training model processes effort information and outputs estimated health condition changes, substituting the complex mechanical examination process with a simpler computational system that maintains measurement precision without requiring repeated hospital visits or complex examination equipment.
3Productivity
If a person works on healthy action without knowing health improvement, then productivity of healthy action decreases, but loss of information about health change occurs
Solution Approach 1:
The simulation system provides continuous feedback to users about estimated health condition changes based on their effort information. By calculating and presenting estimated health condition changes after each effort input, the system creates a feedback loop that informs users of the effectiveness of their healthy actions. This feedback mechanism maintains high productivity of healthy actions by providing motivation and guidance, while preventing information loss by continuously tracking and presenting health condition changes.
4Ease of operation
If a person works on healthy action without knowing health improvement, then ease of operation of health management decreases, but loss of motivation occurs
Solution Approach 1:
The simulation system implements feedback by calculating and presenting estimated health condition changes based on effort information. This feedback mechanism provides users with clear information about health condition changes, maintaining motivation and improving ease of operation. Users can see the direct relationship between their efforts and health outcomes, making the health management process more engaging and easier to operate consistently.
Data Source
AI summary
A system according to an aspect of present disclosure acquires medical examination information about a result of medical examination of a user from a server and effort information about a healthy action from a user terminal, healthy action being an action engaged by the user; calculates an estimation value of an examination item of a medical examination of the user using a training model, the medical examination information and the effort information, the training model being a model trained on a relationship between a change in a value of an examination item of a medical examination and a healthy action by machine learning; generate advice on a healthy action based on a difference between a value of the examination item indicated in the medical examination information and the estimation value; converts the estimation value and the advice into the display signal; and transmits the display signal to the user terminal.