Patient-Friendly Simplifications of Outpatient Reports Using Large Language Models via Few-Shot Prompting: Blinded Comparative Evaluation
Background: Effective communication between clinicians and patients plays an important role in the successful delivery of health care. In geriatric medicine, where multimorbidity, polypharmacy, and functional limitations often make treatment plans complex, AI simplifications of clinical reports into patient-friendly language offer a promising way to improve communication. Objective: This study investigated whether AI could generate patient-friendly simplifications of outpatient reports that were comparable to th…
In a blinded evaluation of 64 German geriatric outpatient reports, patient representatives (P<.001) and one expert reviewer (P=.001) preferred Gemma-3 simplifications over those written by geriatricians.
In the same study, expert reviewers rated physician-written simplifications as more complete than the AI versions (P<.001), a gap that tracked with text length.
The study measured perceived comprehension and preference, not objective health outcomes, adherence or patient engagement, which the authors say prospective studies must still examine.
Sources
- Peer-reviewedJournal of Medical Internet Research2026-11-06
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Truvace Impact Record TRV-2026-2427, v1: “Patient-Friendly Simplifications of Outpatient Reports Using Large Language Models via Few-Shot Prompting: Blinded Comparative Evaluation.” Truvace, 2026-11-08. /record/TRV-2026-2427 (accessed on the day you copy it). sha256 0855a15551e27d7c…
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