e-ISSN: Pending
Negative / Null Result ReportOpen accessMedicine· cited by 23

A Pragmatic Randomized Controlled Trial of Ambient Artificial Intelligence to Improve Health Practitioner Well-Being

Majid Afshar; Mary Ryan; Felice Resnik; Josie Hintzke; Anne Gravel Sullivan; Graham Wills; Kayla K. Lemmon; Jason Dambach · 2025 · NEJM AI

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)

BACKGROUND: Electronic health record (EHR) documentation is a major contributor to work-related practitioner exhaustion and the interpersonal disengagement known as burnout. Generative artificial intelligence (AI) scribes that passively…

Excerpt shown for reference under fair use — read the full paper at the publisher.

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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1056/aioa2500945