“Thanks to E-Health Venture, CESI can make technological leaps forward by working with start-ups it is unable to source, due to lack of time, network or even knowledge. Furthermore, the various media and forums provided by E-Health Venture allow CESI to actually increase its understanding of the e-health market. To sum up, for us, E-Health Venture is a catalyst for innovation."
“Once again, Helan wants to team up with E-Health Venture to tackle one of the questions of the future. How do we create or deploy prevention as a solution within the cure & care ecosystem? Thanks to E-Health Venture, it will once again be possible to gain strong insight on technological and or digital developments that make this possible. E-Health Venture, a strong accelerator driving start-ups to action!"
Health prevention is a hot topic. At a governmental level, the interest in prevention is largely related to the growing weight of healthcare expenses on GDP (~10% in Europe, ~20% in the USA). At a company level, rising burn-outs and the war for talent are boosting investments in preventative services. And at the level of the citizen, among other things, the COVID pandemic has made the importance of good health evident. In Belgium for instance, it is estimated that 1€ invested in prevention produces long-term savings of 4€ (MLOZ).
Exciting new sensors, algorithms, and business models are making their way into the market. But they struggle to establish a strong footprint and scale. This is why we are launching Better Prevention. The program will help great projects become investor-ready start-ups, and accelerate start-ups in their search for product-market fit.
Behavioural science best-practices like rewards, social networks, and other gamification elements, can make health prevention more effective.
Effective prevention will require new stakeholders, new business models and delivery channels (for example B2B, pharmacies, retail, etc.)
Technology makes it possible to work on “segments of one” (i.e., advanced personalization). This is direly needed in prevention.
Healthy lifestyles are dependent on many factors, which need to be understood deeply (e.g., biomarkers) and holistically (e.g., dashboards).
There are major differences in health statuses between social classes. We need ways to access and engage poorer segments of the population.
Prevention research needs accessible and structured longitudinal data for subjects and controls.