TRV-2026-2246Certified recordPeer-reviewed

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…

Health · The Trace — both readings · certified 2026-10-25 · v1 · article view · machine-readable

Current reading — gain

Using an AI model to simplify existing, clinically validated NHS consent forms improved their readability compared with the original forms.

Current reading — problem

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.

What this doesn’t fix

Neither AI approach achieved the recommended reading age, and the authors state that outputs need objective readability assessment and clinical validation before implementation.

Evidence

Reader signal

How should this claim be treated?

Cite this record

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…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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