CAIHL read · Jun 8, 2026
Reconciling how clinical reasoning is learned in the age of artificial intelligence
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
institutional
Hosted inside a health system, insurer, or large employer. Access controlled by the institution.
Interests
patient-aligned
Interest structure prioritizes patients. Operates on a philanthropic, public-service, or advocacy footing.
Agency
neutral
Neither clearly expanding nor constraining patient agency.
Editor's CAIHL read
One-sentence synthesis
Training-pipeline framing of AI-mediated clinical reasoning; the patient's interest in maintained reasoning skill is identified but not operationalized.
In the scan
How this item appeared in the daily scan
Editor's note: If the next generation of clinicians is trained on a substrate that delivers the inference for them, the patient is talking to a clinician whose pattern recognition is borrowed. Borrowed pattern recognition fails on patients whose presentation is novel.
Summary: npj Digital Medicine: Perspective on what happens to medical-trainee clinical reasoning when AI tools handle the inferential heavy lifting — and how to preserve the reasoning skill the AI is replacing.
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.