CAIHL read · Jun 9, 2026
AI-Generated Versus Professional Society Patient Education Materials in Gastroenterology, Surgery, Ophthalmology, and Anesthesiology: A Comparative Analysis of Readability and Health Literacy Metrics
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
patient-aligned
Interest structure prioritizes patients. Operates on a philanthropic, public-service, or advocacy footing.
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
Readability evaluation of AI-generated education materials; expanding agency if the material accuracy keeps pace with the readability.
In the scan
How this item appeared in the daily scan
Editor's note: The patient-education-materials layer is where AI is already deployed without disclosure. If the AI material is more readable than the professional-society material, the professional-society material loses by default. The patient gets the AI's framing wrapped in the institution's letterhead.
Summary: Cureus: Comparative analysis of AI-generated versus professional-society patient education materials across four specialties — readability scores, health-literacy metrics, and information completeness — with the AI-generated materials competitive or superior on readability.
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.