PM.20.058 – Creating and implementing the value-based ‘Digital Twin’ for prevention and treatment of cardiovascular diseases from an early moment in the life course

Route: Personalised medicine: the individual at the centre

Cluster question: 105 How can Big Data and technological innovation (e-health) contribute to health care?

Cardiovascular diseases are still an important and costly health (care) problem, usually diagnosed later in life. Pregnancy is already earlier in life a ‘stress test’ for these diseases in both mother and child. This concerns in particular pregnancy complications as gestational hypertension and fetal growth restriction. It is known that unhealthy lifestyle (80% citizens, especially vulnerable groups) contributes to developing cardiovascular diseases and related pregnancy complications. However, adopting and maintaining healthy lifestyle habits requires knowledge, skills, personal and individual support, and involvement of the (social)environment (friends/family, neighborhood, community). Couples with a child wish are highly motivated to adopt a healthy lifestyle, as this increases the chances of having a healthy child. This is conditional of being helped by care providers and by effective digital support.
It is the ambition of our consortium of medical, social, technical and AI knowledge centers to develop with public, municipal, private and governmental organizations, a digital Life Course Health Care platform for women and partners with a child wish. With this care innovation we aim to contribute to a more personal, effective, continuous and value-driven care, in which the individual and her/his context is central. The platform offers lifestyle care paths as ‘roadmaps’ combined with medical, social care paths and digital tools. Information and interactions will be actively given through coaching, counseling and referrals based on the data entered by the patient. At the same time, the platform collects personal, continuous, individual and contextual data from the moment of entry onwards (Big Data) for developing a Digital Twin during the life course that will generate new knowledge, algorithms and products, which in turn will be offered by the platform. This dynamic Digital Twin can contribute to better and (cost)effective health care that invests in health of the individual from the early life course onwards.

Keywords

Digital Twin, life course care, lifestyle

Other organisations

Center for youth and family, Consortium Pregnancy and Birth South West Netherlands, Dutch Heart Foundation, Dutch Nutritional Center, Erasmus Medical Center (EMC), Leiden Universitair Medisch Centrum (LUMC), Pharos, Technische Universiteit Delft (TUD), Trimbos

Submitter

Organisation Erasmus MC, University Medical Center Rotterdam (EMC)
Name Prof. dr. R.P.M. (Regine) Steegers-Theunissen
E-mail r.steegers@erasmusmc.nl
Website www.erasmusmc-verloskunde.nl