AI in Healthcare Is No Longer a Question of Technology, but of System Readiness

The event brought together experts from healthcare, pharma, research, and technology sectors with the goal of opening a practical discussion around the real challenges of implementing artificial intelligence in healthcare systems.

The event opened with an online keynote by Phil Brierley from IQVIA, who shared a global perspective on the development of AI in healthcare, from administrative automation and data-driven solutions to the challenges of data quality and responsible AI adoption.

The panel discussion was moderated by Bernard Ivezić and featured Anja Barešić, Vedran Čoporda, and Denis Jašarević. The conversation explored topics such as healthcare digitalization, data accessibility and quality, regulatory challenges, and the actual readiness of healthcare systems for broader AI implementation.

One of the key takeaways from the panel was that digitalization alone is not enough if it does not enable meaningful exchange of structured data and seamless integration into existing healthcare workflows.

The participants also highlighted the need for secure “sandbox” environments where startups, hospitals, researchers, and regulators could jointly test AI solutions on real-world data while ensuring clear governance, patient protection, and regulatory compliance.

The overall conclusion of the discussion was clear: the real value of AI in healthcare will not depend solely on technology itself, but primarily on system readiness, data quality, and the ability to integrate AI solutions into everyday clinical practice.

Once again, the Q Leadership Breakfast brought together representatives from the healthcare, pharma, and technology industries, reinforcing the importance of open dialogue between sectors shaping the future of healthcare.