ai upskilling healthcare

AI upskilling for healthcare and pharma

AI upskilling for healthcare and pharma, hands-on on challenges like a research bot or an onboarding knowledge bot, with synthetic patient data.

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AI upskilling for healthcare and pharma
Social Proof

Customer voice

Original posts from participants and teams right after their Corporathon.

ai upskilling healthcare

Next steps to your hackathon

  1. 1Intro call. Clarify the starting point, teams and goals.
  2. 2Tools and challenges call. Pick the real challenge, set the tool stack.
  3. 3Finalisation and preparation. Set up access and data in a data-protection-compliant way.
  4. 4Tool workshop and sprint. Hands-on on your own case, with live coaching.
  5. 5Result pitches. Every team shows its prototype, plus a certificate and competence record.
ai upskilling healthcare

Industry challenges for healthcare and pharma

Typical challenges are a study and literature research bot, a summarisation tool for internal reviews, an onboarding knowledge bot for new employees, a scheduling agent and automation for internal reports. Your challenge comes from your real daily work, with synthetic instead of real patient data.

ai upskilling healthcare

AI upskilling vs. AI hackathon (short)

Classic upskilling ends with a certificate and unclear retention without transfer measurement. The hackathon ends with a certificate plus a working prototype, and retention measurable through the prototype, usage and handoff. Find the full comparison at /en/vergleich-weiterbildung-vs-ki-hackathon.

1Lernziel
2Challenge
3Prototyp
4Nachweis
Schedule

Your Corporathon, in just 1 week.

30-minute discovery call: clarify the need, pick a challenge, set the schedule.

The calendar is embedded via Cal.com and only loads external content once you ask for it.

FAQ

Frequently asked questions

Short answers to the questions that come up most before booking.

Literature research, summarising internal reviews, onboarding questions, scheduling and internal reports. Your team picks a real challenge from daily work and builds a prototype on it. More at /en/ki-weiterbildung.

No. The work happens with synthetic or internal process data, never with real patient data. Access and data scope are agreed together beforehand. Details on the process are at /en/ablauf.

In many cases, yes. The format is set up as workplace training with evidence and documentation, plus the competence record. We clarify details in the first conversation, more at /en/ki-weiterbildung-foerderung.