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

Learning Objectives

• Understand how digital transformation in healthcare has evolved and its impact on clinical practice, hospital management and the relationship with the patient
• Identify the main benefits, challenges and trends of digital technologies applied to healthcare
• Understand the fundamentals and historical evolution of Artificial Intelligence, with a focus on Generative AI and language models
• Develop practical prompt engineering skills for effective use of Generative AI tools in nursing and health education
• Know and try out Generative AI tools applicable to research, content production and clinical documentation support
• Reflect critically on the ethical, governance and safety questions around the use of AI in healthcare, in light of international guidance
• Apply AI responsibly in professional practice, respecting privacy, data protection and clinical responsibility

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.