Are automated documentation-error judges fit to measure ambient AI scribes? A pre-registered, blinded human-validation study

Henry Bergman, Vivian Liu, Ben Austin, Rohan Sangera

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DOI: 10.64898/2026.08.14.26360441
Published: 2026-08-17
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Publisher: openRxiv
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Cite this work

BibTeX

@article{allodium:10.64898/2026.08.14.26360441,
  title = {Are automated documentation-error judges fit to measure ambient AI scribes? A pre-registered, blinded human-validation study},
  author = {Henry Bergman and Vivian Liu and Ben Austin and Rohan Sangera},
  year = {2026},
  doi = {10.64898/2026.08.14.26360441},
  url = {https://doi.org/10.64898/2026.08.14.26360441}
}

RIS

TY  - JOUR
TI  - Are automated documentation-error judges fit to measure ambient AI scribes? A pre-registered, blinded human-validation study
AU  - Henry Bergman
AU  - Vivian Liu
AU  - Ben Austin
AU  - Rohan Sangera
PY  - 2026
DO  - 10.64898/2026.08.14.26360441
UR  - https://doi.org/10.64898/2026.08.14.26360441
ER  -

APA

Bergman, H., Liu, V., Austin, B., & Sangera, R. (2026). Are automated documentation-error judges fit to measure ambient AI scribes? A pre-registered, blinded human-validation study. https://doi.org/10.64898/2026.08.14.26360441

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crossref · retrieved 2026-09-25T05:00:49.535Z