AI and Innovation in Healthcare

In healthcare, the cost of an error is not a badly written report. So the conversation starts with the limits and only then moves to the opportunities.

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Who This Training Is For

• Clinical and administrative leadership in healthcare units
• Administrative, admissions and billing teams
• Health professionals interested in practical application
• Organizations preparing internal rules of use

What Your Team Will Be Able to Do

• Tell administrative support apart from clinical decision support, and treat each accordingly
• Reduce administrative load: records, letters, reports and scheduling
• Understand what data must never leave the institution
• Assess vendor proposals with the right questions
• Prepare the institution for AI Act requirements in this field

Programme

1. The framework — what is allowed, what is regulated and what is forbidden
2. Administrative load — where gains are immediate and risk is low
3. Communicating with patients — clarity without losing rigour
4. Decision support — what exists today, on what evidence, under whose responsibility
5. Clinical data — anonymisation, consent, and what never enters an external tool
6. Assessing vendors — questions to ask before signing anything

Format

• In person or online
• Adaptable duration: 4h or 8h
• Cases split between administrative and clinical
• Adapted to the type of unit and regulatory context

What Makes It Different

Most presentations on AI in healthcare sell assisted diagnosis.

This one starts with administrative work, where the gain is immediate and the risk manageable — and treats clinical decision support with the caution the field demands.

How much of your clinical team’s time goes into administrative work?

Request a tailored proposal.