AI in Healthcare | Futurist | Innovation Expert
Peter Joosten MSc. makes artificial intelligence in healthcare understandable and applicable. His practical lectures demonstrate, through concrete examples, how AI applications are transforming healthcare and how healthcare professionals can effectively engage with them.
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Peter Joosten MSc. specializes in AI implementation in healthcare. With a background in Business Administration, Innovation Sciences, and Future Studies, he understands both the technological possibilities and the practical issues surrounding artificial intelligence in healthcare.
He speaks from experience with various healthcare organizations: from university medical centers such as UMC Utrecht, Erasmus MC, and Radboudumc to nursing and care homes, from mental health institutions to home care organizations. Peter is familiar with the challenges of different specialties – from radiology and pathology to geriatrics and psychiatry – and knows exactly where the opportunities and pitfalls lie.
As a keynote speaker, Peter has presented at leading healthcare institutions and organizations, including Erasmus Medical Center, Diakonessenhuis, Dutch Healthcare Authority, VWS, and various regional healthcare networks. His strength lies in translating complex AI developments into concrete tools for healthcare professionals, executives, and policymakers.
Peter developed the 5V model, a practical approach for the successful implementation of AI in healthcare organizations. He combines scientific knowledge with hands-on experience: from analyzing AI tools for diagnostics to guiding healthcare institutions in AI implementation.
He authored the books ‘Biohacking’ (2018) and ‘Superhuman’ (2020), hosts the podcast Future Images, and is a guest lecturer at TU Eindhoven, Windesheim University of Applied Sciences, and Fontys University of Applied Sciences. As an expert, he regularly appears in media such as RTL5, BNNVARA, BNR Nieuwsradio, and de Volkskrant.
Artificial intelligence is profoundly transforming healthcare. From diagnostic tools that assist doctors in recognising disease patterns to predictive algorithms that help prevent complications. This lecture provides a clear overview of current AI applications in various specialities and healthcare domains. Peter shares concrete examples from practice: from image analysis in radiology and pathology to risk assessment in infectious diseases and fall prevention in the elderly. With practical guidelines for healthcare professionals who want to responsibly engage with AI.
The implementation of AI in healthcare institutions requires more than just technology. It involves cultural change, training, governance, and responsible data management. This lecture offers executives and managers strategic insights into successful AI implementation. Peter shares the 5V model for successfully introducing AI in healthcare organisations and illustrates with examples from leading healthcare institutions what steps are necessary. With concrete strategies for involving healthcare professionals and ensuring responsible AI application.
What will healthcare look like in fifteen years? AI-driven diagnostics, personalised treatments based on genetic data, robotic surgery, and digital remote healthcare – the outlines of 2040 are now emerging. This lecture offers a sharp analysis of how AI, biotechnology, and other developments are fundamentally changing healthcare. From the hospital without beds to the GP as a health coach. Peter explores not only what will become technically possible but also what this means for patients, healthcare professionals, and the organisation of care. With concrete insights for healthcare institutions that want to be prepared for the future.
Many healthcare institutions experiment with AI, but few innovations actually reach the workplace. How do you ensure that AI innovations succeed? This lecture explores the journey from idea to implementation. Peter shows how successful healthcare innovators operate: from identifying real bottlenecks to building support, from small-scale testing to scaling up. With examples of AI innovations that do make an impact in healthcare, from smart planning tools to AI-supported diagnostics. And practical lessons on how to create an innovation culture in healthcare institutions where experimenting with new technology becomes second nature.
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