Sven Jungmann
ENDEFR
For hospitals and clinic groups

The hospital bought AI. The clinicians aren’t using it.

I build clinical intelligence for European hospital groups — documentation, records, the unglamorous places where AI either saves a ward real time or quietly creates work. I speak and run sessions about what separates the two.

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Where it usually breaks

The workflow nobody redesigned

The tool is dropped into a documentation process that was already broken, so it produces faster versions of the wrong document. Adoption dies quietly, and everyone blames the model.

The trust question nobody closed

Clinicians will not sign their name under output they cannot check. If nobody has answered what happens when it is wrong, and who is liable, the safest professional choice is not to use it.

The pilot that proved the wrong thing

A successful pilot in one department with three enthusiasts tells you nothing about the ward at 3 a.m. with agency staff. Scaling on that evidence is how programmes stall in year two.

Talks for this audience
01

The AI is installed. Almost nobody uses it.

Why adoption stalls, and what the organisations where it worked did differently.

EN · DE · FR

The gap between AI that is bought and AI that is used, taken apart with real numbers from real deployments — including the ones that failed. Built for an audience that has already spent money and wants to know why the return has not arrived.

What the room leaves with
  • The four frictions that account for most stalled adoption, and which one is yours
  • Why the pilot that succeeded is often the reason the rollout failed
  • A test for telling genuine productivity from displaced work
02

What AI actually changes in a hospital.

From someone who is deploying it in one this quarter.

EN · DE

Documentation, records, handovers, coding — where clinical AI genuinely gives time back, where it creates a new class of error, and what the wards that made it work insisted on. For clinical leadership, medical councils and hospital IT.

What the room leaves with
  • The specific failure mode of AI that writes into a patient record
  • What clinicians need before they will sign their name under machine output
  • Which three questions to ask a vendor that they will not enjoy
03

Leading with AI: delegate less, stay closer to the work.

What changes for senior people when the cost of doing it yourself collapses.

EN · DE · FR

Senior professionals were taught to hire well and get out of the way. AI lets a leader drop two levels of abstraction back into the work without paying the time cost that made that impossible. What that does to how a team is run, and where it goes wrong.

What the room leaves with
  • Which decisions to pull back and which to keep delegated
  • How to use AI on your own thinking — the reflective use almost nobody tries
  • Why staying close is not micromanagement, and how to tell the difference
Das Wissen zu Künstlicher Intelligenz war nicht nur theoretisch, sondern praxisnah und greifbar. Man spürte, dass das Wissen gelebt und nicht nur gelernt ist.
TeilnehmerKeynote für NEULAND Wohnungsgesellschaft
Spoken for
Written on this

The Map Is Not the Terrain

The penicillin allergy on page seven that had never been tested, the discharge letter that read clean but wasn’t, and what happens when AI extracts data from documents that were already wrong.

Read the essay →

Next step

Bring it to your clinic group.

Board days, leadership retreats, medical-council meetings, digital-health congresses. In German or English.

Enquire about a date → See workshops →