CAIHL read · Jun 4, 2026
What happens when physicians cede AI to direct-to-consumer startups [PODCAST]
Framework
What CAIHL does
Critical AI Health Literacy (CAIHL) is an analytical lens — Hugo Campos and Liz Salmi's 2025 National Academy of Medicine commentary, "Critical AI Health Literacy as Liberation Technology." It applies Paulo Freire's theory of critical literacy to health AI.
The central question CAIHL asks is whose interests does this AI actually serve? Four dimensions answer it: who is the primary user, where is it hosted, whose interests does it advance, and does it expand or constrain patient agency.
This deep-read separates the four dimensions on a single item from the day's scan, so you can see the specific structural shape of the AI in question — not just the bucket it landed in.
The four dimensions
How this item reads through CAIHL
Primary user
clinician
Clinicians or care teams are the primary users. Patients are affected downstream.
Hosting
na
No specific AI host applies (the item is about policy, commentary, or framework, not a deployed tool).
Interests
mixed
Multiple stakeholder interests in tension; the alignment is not stable.
Agency
expanding
Expands patient capabilities, supports their questions, increases their ability to act on their own values across and beyond health systems.
Editor's CAIHL read
One-sentence synthesis
Argues clinicians need a seat at the AI design table. Patients also belong there.
In the scan
How this item appeared in the daily scan
Editor's note: The dual of the Mount Sinai HAPI finding: when policy is fragmented, the design table fills with whoever shows up. Patients showing up is also part of this analysis.
Summary: KevinMD: Podcast argues physicians lose their seat at the AI design table when they wait for finished products instead of co-designing them; D2C startups absorb the standard of care.
methodology
Limitations
CAIHL is a lens, not a verdict. The four dimensions are conditions of use — reassess them when a tool's business model, deployment context, or patient behavior changes. See the NAM commentary for the full framework.