CAIHL read · Jun 9, 2026
Beyond Prediction: Longitudinal Reasoning in EHR-Integrated Clinical AI
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
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
mixed
Multiple stakeholder interests in tension; the alignment is not stable.
Agency
constraining
Channels patients toward predetermined pathways or substitutes for patient capabilities.
Editor's CAIHL read
One-sentence synthesis
EHR-integrated longitudinal AI; constraining agency for under-served patients with episodic records who get the worse model.
In the scan
How this item appeared in the daily scan
Editor's note: Longitudinal reasoning is what a clinician already does and what the current generation of clinical AI does not. If the next generation actually does it, the patient's narrative — the part that resists single-prediction summarization — becomes addressable. So does the patient's surveillance footprint.
Summary: arXiv: Architecture and benchmark for EHR-integrated clinical AI that performs longitudinal reasoning over a patient's record rather than point-in-time prediction — the shift from single-output models to trajectory-aware models.
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.