02.07.2025 | Freiburg

Digital Health Research Night

Am 2. July 2025 zwischen 16:15 und 19:00 Uhr findet eine weitere "Forschungsnacht" Digital Health statt. Alle Studierenden der Universität Freiburg sowie Forschungsgruppen an der Schnittstelle zwischen Medizin und Technik sind herzlich zum Netzwerken eingeladen.

16:15 Industrie-Keynote von Hugo Herrero (siehe Zusammenfassung unten)

17:00 Posterausstellung mit Snacks und Getränken

Es werden Poster zu Forschungsthemen und Projekten im Umfeld von Digital Health präsentiert. Daneben besteht die Gelegenheit zur Besprechung von möglichen Themen für Masterarbeiten, Praktika, aber auch gemeinsamen Projektanträgen der Forschungsgruppen. Mehr Informationen: https://sites.google.com/view/dhrn-freiburg

Für Studierende der Uni Freiburg besteht keine Anmeldungspflicht.

Forschungsgruppen können sich bis zum 18. Juni 2025 hier für einen Posterbeitrag anmelden.
Die Veranstaltung findet auf dem TF Campus, Geb. 101 Foyer statt.

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.