CAIHL read · Jun 5, 2026
Vos données médicales chez Doctolib transmises aux géants américains ? Ce que disent les documents officiels
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
institutional
Hosted inside a health system, insurer, or large employer. Access controlled by the institution.
Interests
commercial
Prioritizes vendor or platform commercial interests (advertising, data, retention).
Agency
constraining
Channels patients toward predetermined pathways or substitutes for patient capabilities.
Editor's CAIHL read
One-sentence synthesis
Cross-border data-flow investigation; constraining patient agency because the transfer is not visible to the user signing the consent.
In the scan
How this item appeared in the daily scan
Editor's note: The French data-sovereignty case is the patient-AI case dressed in a different uniform. The infrastructure question is the same: who reads the patient's file by default.
Summary: Clubic (FR): French tech press investigation into whether Doctolib — the dominant French patient-appointment platform — is transmitting medical data to US technology providers, citing official documentation that suggests the transfer is more extensive than Doctolib's public framing.
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.