April 22, 2021: Tiny Workshop & Consortium Meeting Enabling Personalized Interventions.


When Thursday, April 22nd
Where Online: https://uva-live.zoom.us/
Enabling Personalized Interventions is working on a broadly applicable trustworthy, efficient and secure way to gain insights from data distributed across multiple parties in the healthcare domain and to make these insights available to patients and healthcare professionals to facilitate joined/self-care. Currently EPI is developing solutions for three different use cases, one related to psychiatric treatments with UMC Utrecht, one related to CVA with St. Antonius hospital and one related to DIPG with the Princess Maxima Center. The overarching objective is to build a digital health twin that is able to address all these use cases with a consistent approach. Attached is a high-level slide deck to present the EPI project.

The EPI Consortium consists of an extensive and diverse group of partners, with participants from research (UvA, VU, CWI, SURF), from the health domain (UMCU, PMC, St. Antonius, Antes) and from industry (Philips, KPMG). We expect about 20 participants from the consortium itself and have availability for a similar amount of external participants

Below this abstract you can find the agenda of the meeting. The first part is mostly in parallel with small groups (around 8 people) per topic. We are proud that we have been able to find impactful experts to lead these discussions, all session-leads are confirmed. The second part is a plenary presentation from the PhD students. External participants are welcome to join this part of the meeting, but your presence is not required. We will distribute the list of PhD presentations and the timing ahead of the meeting.

13:00 Start of tiny workshop & Consortium Meeting

Marloes Bons Introduction of EPI (plenary)

13:15 Break-out sessions (parallel):

Policies lead: Corrette Ploem (Amsterdam UMC) & André Krom (LUMC)

Algorithms lead: Giovanni CinĂ  (PacMed)

Architecture lead: Douwe Lycklama (Innopay)

Organization lead: Floortje Scheepers (UMC Utrecht) & Sander Klous (UvA/KPMG)

Use cases
lead: Rianne Fijten (Maastro clinic)

13:50 Discussion about collected insights (plenary, 5 min per session)

14:15 Coffee-break

14:30 Presentation PhD students

Rosanne Turner
Real-time evidence collection in data streams.


Milen Girma Kebede
Automating normative control for Healthcare research eFlint specification for regulatory documents in DIPG-research.


Saba Amiri
Privacy Preserving Distributed Machine Learning


Corinne Allaart
Vertically distributed learning for CVA.


Jamila Alsayed Kassem
EPI Framework: A dynamic infrastructure to support health applications

15:40 EPI Architecture: Implementation & Integrations

Onno Valkering Implementation & Integrations
15:55 Any other business

16:00 Closure