Lead the responsible adoption of AI in your healthcare organization. This practice-oriented, 5-day course (spread over 6 months) equips project leaders and AI champions with the skills, tools, and regulatory knowledge needed to successfully implement AI in real-world clinical settings.
Healthcare organisations are rapidly introducing AI solutions into daily practice, but successful and responsible implementation requires more than just technology. From understanding the AI market to aligning with strategic goals, and from ensuring regulatory compliance to engaging stakeholders, this course covers the entire AI project lifecycle.
Guided by experienced AI project leaders and (international) guest experts, participants work on a real-world or hypothetical project over
5 months. The programme includes peer learning, coaching, and project work so participants can directly apply knowledge to their own organisational context. Upon completion, participants earn the Responsible AI Implementation Lead in Healthcare certificate and join an alumni network of AI leaders in healthcare.
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This course is also offered in-house. Contact us to learn more
Incl. location, lunch, snacks & course material
Healthcare leaders managing AI procurement, system integration, and clinical/technical implementation across clinical environments.
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Professionals bridging clinical practice and digital health, translating AI capabilities into safe and effective patient care workflows.
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AI projectleaders, innovation managers, programme managers overseeing AI adoption within their department, ensuring alignment with clinical goals and staff readiness.
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Healthcare executives and advisors driving organisational AI strategy, ethics, and regulatory compliance at institutional level.
Develop a governance strategy and navigate the full AI procurement lifecycle: from understanding the regulatory landscape and market to selecting and contracting the right application.
Create and execute implementation plans that integrate AI safely into clinical workflows, with proper risk management and stakeholder alignment. You will gain the tools to lead an AI implementation project.
Assess AI impact and build your business case using proven frameworks. You will receive practical templates to structure your evaluation, reporting, and post-market surveillance.
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