The general goal of EPI is to investigate ways to make health-related data, which may be located at different organizations, available for analysis to support personalized self and joint management during medical interventions or treatments. This should lead to responsible use of data from various sources for practical purposes such as lifestyle advice, prevention, diagnostics, and personalized treatment. The concept has been dubbed 'digital health twin', with the ultimate aim of providing personalized, effective, real-time feedback in line with the choices each individual has made.

Project MyDigiTwin is a national Big-Data research initiative where individuals can build a digital twin. This is accomplished through artificial intelligence using data derived from hundreds of thousands of people. The concept is that individuals input their own health data, for example, through an app. By linking this personal data with the data from individuals participating in long-term health studies, a picture of the personal health situation emerges. It is the first time that individuals can compare their personal health data with big-data reference data from multiple cohorts. Such a digital twin can assist individuals in the future to gain more precise insights into the likelihood of cardiovascular diseases. Additionally, such a digital twin can motivate someone to choose a healthier lifestyle.