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Indian American leaders spotlight AI’s expanding role at ASU summit
Speakers flagged challenges of trust, health literacy and the difficulty of integrating AI into existing clinical and administrative structures.
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Malvika Choudhary - Sat, 29, Nov 2025
- 15:25 EST
- 11
Dr. Priya Radhakrishnan (right), vice dean of ASU's John Shufeldt School of Medicine and Medical Engineering, and Dr. Maria Manriquez (center), a professor in the College of Medicine at the University of Arizona, talk with moderator Jyoti Pathak, dean of ASU's School of Technology for Public Health, about / Photo by Charlie Leight/ASU News
Indian American leaders Priya Radhakrishnan and Bindiya Vakil highlighted the expanding role of artificial intelligence in health care and supply-chain systems at Arizona State University’s Arizona Business and Health Summit held on Nov. 20 in Tempe.
Radhakrishnan, an internal-medicine physician and senior academic leader at ASU, said a significant share of primary care is occupied by administrative steps that do not require clinical judgment.
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“A large portion of primary care is gatekeeping — referrals, prior authorizations, routine stuff that consumes a physician’s time,” she said, adding that such tasks can be automated so clinicians can focus on patient care.
Vakil, a supply-chain strategist and founder of Accio3D, said artificial intelligence and 3D printing are transforming global health-care logistics.
“Supply chain touches everything — legal, compliance, inventory, sales, manufacturing — so it’s a natural place to integrate AI for broad impact,” she said. She noted that automated systems can act across time zones without human intervention. “AI never sleeps.”
Their remarks came during a daylong summit that convened health-care professionals, business executives, researchers and policymakers to assess AI’s influence on clinical work, workforce roles and systemwide operations.
The event, organized by ASU’s W. P. Carey School of Business, examined responsible AI use, data transparency, supply-chain disruptions and the emergence of more autonomous “agentic AI.”
Speakers also flagged challenges of trust, health literacy and the difficulty of integrating AI into existing clinical and administrative structures.
Panels throughout the summit explored disruptions in labor markets, changes to medical education, and the widening responsibilities of clinicians expected to supervise algorithmic systems.
According to ASU, the discussions were aimed at connecting leaders across business, public health and medicine to shape standards for AI adoption in health-care environments.
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