Payne, Thomas H.

White AA, Lee T, Garrison MM, Payne TH. A randomized trial of voice-generated inpatient progress notes: Effects on professional fee billing. Appl Clin Inform. 2020 May;11(3):427-432. doi: 10.1055/s-0040-1713134. Epub 2020 Jun 10. PMID: 32521556.

Lybarger KJ, Ostendorf M, Riskin E, et al. Asynchronous speech recognition affects physician editing of notes. Appl Clin Inform. 2018 Oct;9(4):782-790. doi: 10.1055/s-0038-1673417. Epub 2018 Oct 17. PMID: 30332689.

Lybarger K, Ostendorf M, Yetisgen M. Automatically detecting likely edits in clinical notes created using automatic speech recognition. AMIA Annu Pro. November 5, 2017.

Payne TH, Markiel JA, Alonso WD, et al. Improving electronic inpatient progress notes using voice: results from the VGEENS Project. AMIA Annu Proc. November 5, 2017.

Payne TH, Alonso WD, Markiel JA, et al. Using voice to create hospital progress notes: description of a mobile application and supporting system integrated with a commercial electronic health record. J Biomed Inform 2018 Jan:77;91-6. PMID: 29233669.

Payne T. VGEENS: A Better Way, Faster Way to Write Electronic Progress Notes. University of Washington Online Video. http://depts.washington.edu/simcentr/temp/vgeen/ahrq-2.mp4. Accessed March 2017.

Payne T. Improving Accuracy of Electronic Notes Using a Faster, Simpler Approach - Final Report. (Prepared by the University of Washington under Grant No. R21 HS023631). Rockville, MD: Agency for Healthcare Research and Quality, 2018.