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- Exploring the complex nature of implementation of Artificial
Exploring the complex nature of implementation of Artificial intelligence in clinical practice: an interview study with healthcare professionals, researchers and Policy and Governance Experts
- Artikel
- 7 mei 2025
- ICT-innovaties in de zorg
Samenvatting
We explored the challenges of implementation of Artificial Intelligence (AI) into clinical practice in hospitals by interviewing healthcare professionals, researchers, and Policy and Governance Experts. Despite AI’s potential to improve patient care and streamline clinical processes, its implementation in hospitals is still limited. Through thirteen in-depth interviews, we identified several key issues. First, we found that AI initiatives often focus more on creating innovative technology rather than addressing actual clinical needs, leading to limited success in real-world application. Additionally, many initiatives aim to generate knowledge without clear plans for practical implementation. Effective collaboration is also lacking, as diverse stakeholders are either not involved or involved too late, making communication difficult. We noticed a significant gap in necessary skills and knowledge among both IT staff and healthcare providers, which hinders AI integration. Hospitals also need a clear vision and adequate infrastructure to support AI. Finally, evolving laws and regulations present both challenges and opportunities, as they can complicate development but also drive the standardization and safety of AI tools. In conclusion, implementing AI in clinical settings is complex and multifaceted. Hospitals need to assess their readiness for AI, develop clear strategies, standardize development processes, and foster better collaboration among stakeholders.
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Auteurs van deze publicatie:
- Job Leenen
- Paul Hiemstra
- Martine ten Hoeve
- Anouk Jansen
- Joris van Dijk
- Brian Vendel
- Guido Versteeg
- Gido Hakvoort
- Marike Hettinga
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