CAIHL read · Jun 11, 2026
Patient AI scribes? Not going to happen
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
patient
Patients, families, and care partners are the primary users of this AI.
Hosting
public
Hosted for public use (ChatGPT, Claude, consumer apps). Anyone with a device can use it.
Interests
institutional
Prioritizes institutional efficiency, compliance, risk management, or revenue.
Agency
constraining
Channels patients toward predetermined pathways or substitutes for patient capabilities.
Editor's CAIHL read
One-sentence synthesis
Opinion-voice dismissal of patient-side scribe symmetry; constraining patient agency by treating the asymmetry as natural.
In the scan
How this item appeared in the daily scan
Editor's note: The piece is structurally interesting because it inverts the default frame: the AI scribe is normalized as a clinician-side tool, and the patient-side analogue is dismissed as impractical. The asymmetry is the entire argument the participatory-medicine literature has been making about every new tool.
Summary: Health Services Daily (Australia): Opinion piece arguing that patient-side AI scribes — recording the consultation from the patient's chair — will not arrive at scale because the institutional infrastructure won't support them.
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.