Quantification of disease risk using AI
We provide a service called “Future Health Assessment” where we predict the risk of lifestyle diseases for the next 1 to 6 years based on the results of the most recent year’s regular health check-ups. This prediction is represented by a numerical value ranging from 0% to 100%. The targeted diseases include diabetes, hypertension, dyslipidemia, renal dysfunction, hepatic dysfunction, and obesity. The predictions take into account factors such as the passage of time and lifestyle habits.
We utilize the Disease Risk Prediction AI developed by Toshiba Digital Solutions Corporation. Based on the results of the most recent year’s health check-ups, this AI calculates the probability (expressed as a numerical value from 0% to 100%) of abnormal test items related to lifestyle diseases within the next 1 to 6 years. The predictions also consider factors such as the passage of time and lifestyle habits. [Achievement example: The accuracy of predicting diabetes onset within 3 years reached 96%.]
Method 1 for Utilization: Identifying Key Areas to Focus on in the Future
By utilizing Future Health Assessment, it becomes possible to clearly identify the risk of lifestyle diseases among our employees. This information proves valuable when determining key focus areas in health management. Moreover, on an individual level, knowing the specific numerical risks of lifestyle diseases serves as a catalyst for leading a more health-conscious lifestyle.
Method 2 for Health Incentive Points
One effective approach believed to promote overall health improvement within a corporation is the Health Incentive Points system. If an individual’s health indicators show improvement during the next health examination or if they are able to maintain a low-risk status, corresponding points will be awarded. These points can be used to recognize and commend departments or individuals who achieve higher standings. Additionally, incentives such as gift certificates or financial bonuses can be granted. This approach is believed to provide strong motivation for the entire organization to actively engage in health promotion. Taking into account the analysis results of the entire company, the number of employees, the distribution across departments and age groups, as well as the key focus areas of health management, we will propose a customized Health Incentive Points system that suits your company.
Example of provided data (aggregate by department)
Would it be effective to analyze the trends by department? While setting unified goals across the entire company can be beneficial, understanding the situation by department may lead to improvements in the working environment. In addition, setting priority areas for each department to focus on can encourage mutual communication and foster new relationships.
Provided example of data (aggregated by age group)
It is also easy to understand the trends by age group. It is generally believed that the risk increases after middle age, but it becomes easier to understand specifically which lifestyle diseases to focus on from a young age.
Provided Data Example (Individual Aggregation of High-Risk Individuals)
We will aggregate high-risk individuals for each disease. Numerical values make it easier for health counselors to communicate with the individuals and serve as a stronger motivator for behavior change.
Custom Health Program
By analyzing the aggregated data, your company’s specific issues can be identified, and the key areas to focus on in the future become clear. For example, if the results show a high prevalence of prediabetes, it would be possible to prioritize seminars that provide in-depth explanations on stabilizing postprandial blood glucose levels and offer a cafeteria with a wide selection of low-carbohydrate menus in order to address this issue.
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