Legislators hear promises and pitfalls of AI in health care, from documentation to diagnostics

Tanya Malik, a lawyer and telehealth entrepreneur, and Michelle Hager, managing partner of BlueSears, told members of the Vermont Senate Health and Welfare committee on March 19 that artificial intelligence is already embedded in many health-care tasks — from ambient documentation and image analysis to revenue-cycle automation — and that the state should weigh benefits against privacy, bias and access risks.

The presentation covered clinical uses now in practice, workforce and patient benefits, and legal and policy questions for state lawmakers. "I am embracing and think the industry should embrace artificial intelligence in health care while balancing privacy and safety concerns and maintaining some control," Malik said, summarizing the view she presented to the committee.

Why it matters: Committee members repeatedly returned to two constraints that could limit AI's value for Vermont residents — data privacy and rural access. Witnesses said AI can reduce documentation time, help detect disease in images and speed claims processing, but many tools require broadband, large datasets and explainable algorithms; without those, new systems risk replicating bias or creating coverage denials driven by cost models rather than clinical judgment.

Key takeaways…