A Former Nurse Is Leading Trump’s Push to Bring AI “Doctors” Into American Medicine

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The Trump administration is building a plan to bring artificial intelligence “doctors” into American medicine, according to a Washington Post report published June 4, 2026. The effort could let AI tools take on work long reserved for licensed clinicians, from initial patient consultations to prescription refills.

Leading the push is Amy Gleason, a former ER nurse and healthcare executive who we have covered before. She took over the U.S. DOGE Service after Elon Musk stepped away. Gleason now advises Health and Human Services Secretary Robert F. Kennedy Jr. on weaving AI into the health system.

For nurses, this is more than a Washington policy fight. It raises direct questions about who, or what, sits at the bedside, makes the first call on a patient’s symptoms, and signs off on a medication.

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Gleason’s belief is personal. Her daughter Morgan, 27, who lives with a rare autoimmune disease, uploaded 16 years of medical records to ChatGPT and received a different diagnosis than her doctors had given, which her mother says ultimately helped her reach a clinical trial. “She didn’t have to know the right question to ask, and she didn’t have to know all of her information or what was in her biopsy, it just did that for her,” Gleason said. “That’s the power of having that data and having technology with it.”

She has described AI’s momentum in healthcare bluntly: “People are seeing the difference the AI is bringing. And it’s like the genie is out of the bottle.” As DOGE administrator, Gleason has also called for broader access to patient data, arguing that AI cannot improve care until it has good information to work with.

The administration’s vision is concrete. It is offering roughly $50 million in research awards to develop AI software for cardiovascular care, and a three-month pilot in Utah could let AI help refill prescriptions, with guardrails, a fixed formulary, and human escalation. Officials are reportedly studying a regulatory model similar to how autonomous vehicles are overseen, an approach that could eventually let AI handle initial consultations for conditions including cardiac emergencies. Major AI companies, including OpenAI, Anthropic, and Google, have backed the administration’s framework for vetting the tools.

Centers for Medicare and Medicaid Services Administrator Mehmet Oz has framed AI as a fix for doctor shortages in rural areas.

Not everyone is convinced. A February 2026 Oxford Internet Institute study found that leading models were “no better” than human doctors at diagnosis, warning that asking a large language model about symptoms “can be dangerous, giving wrong diagnoses and failing to recognise when urgent help is needed.”

Robert Wachter, professor and chair of the Department of Medicine at the University of California, San Francisco, cautioned about the forces behind the push: “You’re combining a general anti-regulatory, pro-business administration with very close ties to an enormous amount of wealth to a segment of society that wants us to go fast.”

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Nurses already work alongside clinical algorithms and decision-support tools, but this push reaches further. If AI moves into diagnosis, triage, and prescribing, it touches the core of nursing practice: assessment, patient education, medication safety, and the human judgment that catches what a model misses. The same Oxford research suggests these tools are not yet ready to replace clinical reasoning, and nurses are frequently the last line of defense when an automated recommendation is wrong.