Artificial intelligence can reduce the health care sector’s administrative burden while improving clinical diagnostics and speeding up drug discovery, according to a congressional task force that offered recommendations for lawmakers to consider in the next session.
In its report released Tuesday, the bipartisan House AI task force, made up of 12 Republicans and 12 Democrats, cautioned that the lack of uniform standards for medical standards and algorithms is impeding widespread adoption. Among the main recommendations of the task force, led by chairman Rep. Jay Obernolte (R-Calif.) and co-chair Ted Lieu (D-Calif.), were improving health data interoperability and supporting funding for research through the National Institutes of Health.
The task force’s recommendations come at a time when a new administration and Congress prepare to enter Washington. Though many anticipate President-elect Donald Trump’s “AI czar” David Sacks and the Trump administration will advocate for lessening AI regulation, the report outlines several areas where Congress should consider guardrails to make sure patients are protected while encouraging adoption of AI.
This article is exclusive to STAT+ subscribers
Unlock this article — and get additional analysis of the technologies disrupting health care — by subscribing to STAT+.
Already have an account? Log in
