Translating AI Digital Health Into Impact

Clinical & Health Data Management
May 11, 2026
A stethoscope on a medical chart in a dimly lit room

In a recent discussion, S. Hassan Naqvi, PhD, head of Digital Health Partnerships at AstraZeneca, highlighted the challenges of integrating AI into real-world healthcare practices.

During the Cincinnati Children’s Innovation Ventures fireside chat, Naqvi emphasized that while AI acts as a significant enabler in healthcare, it should enhance rather than replace clinical expertise. He pointed out that the successful implementation of AI tools hinges on bridging the gap between innovation and clinical adoption, which requires collaboration among health systems, industry partners, and payers.

Naqvi elaborated on AI's potential to improve patient journeys by accelerating discovery science, enhancing data analysis, and refining clinical trial matching. He noted that Cincinnati Children’s is actively embedding AI into clinical workflows, such as through AI-enabled virtual health platforms that extend care beyond traditional hospital settings. However, he warned that mere technological advancements are insufficient if they are not effectively integrated into existing care models.

Central to Naqvi’s vision is the concept of a “village” model of innovation, where collaboration across various stakeholders is essential for successful AI integration. He stressed the importance of early engagement with academic partners and adaptability in aligning innovations with clinical needs. Looking ahead, Naqvi believes that AI's role will evolve to enhance existing clinical practices rather than replace them, focusing on measurable improvements in patient care.

Read the original article: Research Horizons