Two clinicians review digital medical images together in a bright, modern workspace.

Artificial Intelligence

The rules for AI in care are being written now.

Advanced technology offers immense benefits to healthcare — but the safe, secure application of AI is an ongoing challenge. CTeL tracks the development of AI-focused legislation, coalitions, and policy so your AI strategy stays ahead of the regulation.

What We Track

Following AI policy as it takes shape

Federal Policy

Rulemaking & agency action

From the ONC HITAC annual report and the FDA's cross-center work on AI medical products to the HTI-1 final rule on algorithm transparency and certification — CTeL follows the federal rules reshaping health AI.

Coalitions

The Congressional Digital Health Caucus

A hub for educating policymakers, ensuring equitable access, promoting collaboration, addressing regulatory gaps, and advancing digital-health research & development.

Trust & Safety

Local AI Evaluation

Healthcare isn't one-size-fits-all. Local AI evaluation tests AI in the environments where it will actually be used — so bias is caught before deployment and providers can trust the tools.

In Focus

Making AI trustworthy, locally

What works in an urban hospital might not translate to a rural clinic or a telehealth visit. Local AI evaluation ensures AI is tailored to regional and clinical needs, biases are identified and corrected before deployment, and patients and providers can trust the technology.

  • UCSF's IMPACC — a "digital immune system" that monitors AI in clinical care.
  • Vanderbilt's VAMOS — an algorithmovigilance system modeled on pharmacovigilance.
Healthcare performance metrics: clinical outcomes, diagnostic accuracy, physician time efficiency, patient satisfaction, and resource utilization.

Innovation is moving fast. So is the policy.

Put CTeL's AI intelligence to work.