CAIHL read · Jun 8, 2026

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Quality and Safety profiles of AI-Generated vs Clinician-Generated Handoffs in Hospital Medicine

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.

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

expanding

Expands patient capabilities, supports their questions, increases their ability to act on their own values across and beyond health systems.

One-sentence synthesis

Evaluation of AI substitution in a safety-critical clinical communication; expanding clinician agency in the operational layer; patient-facing implications unaddressed.

How this item appeared in the daily scan

Editor's note: The handoff is the highest-stakes communicative artifact in the hospital. If the AI-generated version is even comparable, the workflow argument is over; if it is materially worse on safety-critical omissions, the patient-facing consent infrastructure has not caught up.

Summary: medRxiv: Head-to-head comparison of AI-generated versus clinician-generated handoff notes in hospital medicine, evaluating completeness, safety-critical omissions, and downstream incident signal.

Read the original source →

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.