Digital health after discharge
At DMEA in Berlin, I spoke about AI-based mobility analysis for discharge management. The core argument was simple: medical care does not end when someone leaves the hospital, and the transition into recovery is exactly where better measurement can reduce avoidable risk.
What the talk focused on
Mobility analysis can help teams understand whether a patient is ready, deteriorating, or likely to need additional support. The technology only matters if it fits into the handoff between hospital teams, patients, and follow-up care.
Practical themes
- Use movement data to make risk visible earlier.
- Reduce pressure on healthcare staff by supporting assessment, not replacing it.
- Design patient-facing workflows that people can actually follow after discharge.
Stage and context
