Creating a digital twin from the earliest moment in the life course
This project combines data collection, storage, and analytics in a context-driven life course care platform. Our Digital Twin platform is valuable to people through supporting (non-)medical and lifestyle care and adopting health literacy and agency. The second objective is to investigate how to develop, implement and scale a sustainable ecosystem of the Digital Twin.
To this end, we selected a specific topic from the wide range of medical problems that may benefit from a Digital Twin: predicting the probability of hypertension-related complications around pregnancy. Hypertension is an underlying furtive process that can result in adverse health outcomes for both mother and child.
With this case study, we aim to:
- Establish individual (non-)medical and lifestyle care paths, create, implement, and evaluate the Digital Twin.
- Identify patient (care) values, protocols for design, implementation, business models, and scaling.