Digital Health
Research Night
2 July 2025, 16:15-19:00
UNI Freiburg, TF Campus, Building 101
16:15 Industry Keynote by Hugo Herrero (see abstract below)
17:00 Poster exhibition with snacks and drinks
Institutes/workgroups: Register poster(s) here.
Students & researchers: No registration required. The event is free of charge.
Are you a student looking for an exciting thesis or project?
Are you a graduate looking for an future research opportunity?
Are you a researcher looking for cooperation?
Let’s talk about Medicine, Computer Science & Technology
Other downloads: Promotion slide Event poster
Organiser contact:
Dr. Göran Köber, Dr. Mario Cypko, Prof. Dr. OIiver Amft
University of Freiburg & Hahn-Schickard
Industry Keynote
Dr. Hugo Herrero, Alma (Spain)
Multidimensional Information and Model Management System-of-Systems (MIMMS) for Next-Generation Hospital Information Systems
Abstract: Modern hospitals generate petabytes of heterogeneous data (EHR, imaging, device telemetry, genomics…) yet most HIS stacks still treat information as flat files rather than living assets. The Multidimensional Information & Model Management System of Systems (MIMMS) proposes a complementary backbone that turns hospital data into continuously evolving, AI-ready knowledge graphs. Healthcare is still organised per service, yet value is delivered per episode and now judged per outcome. The result is data that travels without its clinical context and governance that stops at institutional boundaries. The Model-Guided methodologies, supported by MIMMS proposes an alternative: an open, stakeholder-owned ecosystem where governance is embedded in models that accompany every data packet and algorithm wherever they flow.
The key principles are:
Context-portable governance: Each dataset carries a self-describing policy model (consent scope, provenance, licence) so data remain compliant even when reused by another hospital, vendor, or research team; without losing the ownership track and privacy configuration.
Service-neutral and Zero-Trust architecture: Clinical, research, and industrial partners plug in as virtual entities that read from and write to a shared event fabric; no single vendor controls the stack.
Value-based feedback loops: Outcome metrics (e.g., readmission risk, operative efficiency) are published back into the ecosystem, allowing algorithms and reimbursement contracts to adapt continuously.
Model-based oversight: Executable governance models audit who touched what, when, and with which algorithm, replacing manual gate-keeping with traceable, real-time policy enforcement.
Early pilots demonstrate how this common approach can shorten the concept-to-bedside cycle, unlock cross-institution studies without bulk data transfers, and give industry partners a neutral launchpad for outcome-aligned services. Attendees will leave with a roadmap for shifting from siloed, fee-for-service IT to a federated, model-governed infrastructure that makes value-based healthcare operational and democratizes benefits of digital transformation between all stakeholders.