A recent HIMSS report examining AI adoption in the Asia-Pacific region finds that rapid deployment across hospitals and clinics has often outpaced organizational readiness. Gaps in governance, workforce training, and trusted data practices threaten to undermine early gains as AI tools are embedded into clinical workflows. The study cautions that without clear accountability, risk management, and ongoing oversight, patient safety and care quality could be compromised even as decision-support and automation expand.
Experts including Professor Aurel Qian of The Chinese University of Hong Kong’s Multimedia Laboratory say attention should extend beyond technology itself. Key challenges include how to reward clinicians who contribute to AI development, how to build trust among diverse users—from physicians to nurses to administrators and patients—and how to measure the technology’s value over time rather than in siloed pilots.
