Readability of National Surgical Consent Forms: Artificial Intelligence Generation Versus Simplification
Introduction Consent forms often exceed the reading ability of populations they serve. Large language models may improve accessibility of patient-facing information, but existing research has predominantly assessed de novo generation, with limited benefit. AI-assisted simplification of existing, clinically validated material represents a distinct workflow that remains underexplored. This study compared the readability of all 64 consent forms published by NHS England's Getting it right first time (GIRFT) with mat…
Using an AI model to simplify existing, clinically validated NHS consent forms improved their readability compared with the original forms.
Forms generated from scratch by AI were harder to read than the originals, and neither AI approach reached the nationally recommended reading age of 11 years or below.
Neither AI approach achieved the recommended reading age, and the authors state that outputs need objective readability assessment and clinical validation before implementation.
Evidence
- Peer-reviewedANZ Journal of Surgery2026-10-23
How should this claim be treated?
Truvace Impact Record TRV-2026-2246, v1: “Readability of National Surgical Consent Forms: Artificial Intelligence Generation Versus Simplification.” Truvace, 2026-10-25. /record/TRV-2026-2246 (accessed at citation time). sha256 dab85f4967062e2c…
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