Editorial illustration for Barad: AI agents could overhaul health care, easing 90% of resource strain
Barad: AI agents could overhaul health care, easing 90%...
Telehealth and remote monitoring systems have largely layered new tasks on top of old ones, says Dr. Ashis Barad. He argues AI agents, which can independently manage parts of patient care, might cut 90% of the administrative and cognitive load now carried by medical staff.
New telehealth services and digital care tools, like remote monitors, have had similar shortcomings, says Ashis Barad, MD, chief digital and technology officer at Hospital for Special Surgery (HSS), an academic medical center in New York that focuses on musculoskeletal health.
For Barad, the goal is a system where these agents handle initial triage, constant monitoring, and routine follow-ups. That could free clinicians from a majority of their administrative work. The 90% estimate hinges on rebuilding clinical workflows around this capability, not just adding it to the current pile.
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Common Questions Answered
How could AI agents reduce the administrative burden on medical staff according to Dr. Barad?
Dr. Barad argues that AI agents can independently manage initial triage, constant monitoring, and routine follow-ups, which could free clinicians from a majority of their administrative work. He estimates these agents could cut 90% of the administrative and cognitive load currently carried by medical staff, but this requires rebuilding clinical workflows around this capability rather than simply adding it to existing processes.
What is the key difference between how telehealth systems and AI agents approach healthcare resource strain?
Telehealth and remote monitoring systems have largely layered new tasks on top of old ones, creating additional burden on medical staff. In contrast, AI agents are designed to independently handle patient care responsibilities, fundamentally restructuring workflows to reduce rather than compound the workload on clinicians.
Why does Dr. Barad believe the 90% reduction estimate depends on rebuilding clinical workflows?
The 90% estimate assumes that AI agents will not simply be added to the current system but will instead replace and restructure how clinical workflows operate. Simply layering AI capabilities onto existing processes would not achieve the full potential reduction in administrative and cognitive load that Barad envisions.
What specific patient care functions would AI agents handle in Dr. Barad's proposed healthcare system?
In Barad's proposed system, AI agents would handle initial triage, constant monitoring, and routine follow-ups for patients. By managing these core functions independently, the agents would allow clinicians to focus on more complex clinical decisions and patient care rather than administrative tasks.
Further Reading
- Healthcare, life sciences companies are betting big on AI agents — Healthcare Brew
- How AI Agents and Tech Will Transform Health Care in 2026 — BCG
- AI in Healthcare: 90 Startups Making Noise in the Industry — CB Insights
- AI Agents for Healthcare Resource Center — Productive Edge
- The Impact of AI: The Case for AI Agents in Healthcare — Blue Prism
