CAIHL read · Jun 9, 2026
The opioid crackdown is harming chronic pain patients
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
constraining
Channels patients toward predetermined pathways or substitutes for patient capabilities.
Editor's CAIHL read
One-sentence synthesis
Clinician voice on patient population caught by a constraint not written for them; constraining agency through the misapplied instrument.
In the scan
How this item appeared in the daily scan
Editor's note: The chronic-pain patient is the patient the AI-mediated prescribing tool was built to constrain. The same tool now also constrains the patients the policy was not designed to harm. Externalities are how the literacy lands.
Summary: KevinMD: First-person clinician essay on chronic-pain patients harmed by opioid-crackdown protocols — the population that bears the regulatory externality of the policy that was written for the population that does not present.
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.