Healthcare  /  04

Artificial Intelligence in Healthcare

Understand tools and limits, exercise judgment, and work through ethical and legal questions.

01 / The approach

AI can help organize information, prepare materials, and support some educational and clinical tasks. Each use still calls for understanding what data enter a system, how to verify an answer, when to stop, and who makes the decision.

We design learning for professionals, educators, and leaders that brings together technological foundations, use cases, and discussion of difficult choices. Participants test how tools are used in concrete contexts.

02 / How it works

01

Understand the system

Explore generative models, agents, data, outputs, and limitations through accessible healthcare examples.

02

Try and verify

Work on role-relevant tasks, check sources and results, and recognize uncertainty, error, and potential bias.

03

Decide how to govern use

Discuss privacy, consent, transparency, professional responsibility, and human oversight in institutional processes.

03 / What to observe


Quality of output verification

Appropriate data use and protection of people

Recognition of bias, limits, and uncertainty

Accountability and handoff to human judgment

04 / A concrete example

A case for discussion

A team receives an AI-generated summary before a clinical or educational decision. What should be checked against the source? What is missing? What can be delegated, and what must a professional decide and document? The case becomes an exercise in choices, not a demonstration of automated diagnosis.

 

05 / How to tailor it

The programme can be tailored to clinical roles, management, education, and compliance. Objectives, examples, permitted tools, and data rules should be defined with the institution and updated for its applicable legal context.