How DISCERNing is ChatGPT? An Evaluation of Models and Prompt Engineering in Assessing Patient Education Materials.
Blackman J; Friesen D; Sikkel MB; Veerapen R · 2026 · Applied clinical informatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Objectives The objective of this study is to evaluate whether ChatGPT models can reliably apply the DISCERN instrument, a 16-question human-scored rubric developed in 1999 to evaluate consumer health information, and assess the impact of…
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Metadata source: Europe PMC · DOI 10.1055/a-2853-8892