This paper is in the following e-collection/theme issue:

Natural Language Processing (706) Electronic Health Records (1068) Design and Usability of Clinical Software and EHRs (271)

Published on in Vol 4, No 4 (2016): Oct-Dec

Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study

Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study

Natural Language Processing–Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study

Authors of this article:

David R. Kaufman1 Author Orcid Image ;   Barbara Sheehan2 Author Orcid Image ;   Peter Stetson3 Author Orcid Image ;   Ashish R. Bhatt4 Author Orcid Image ;   Adele I. Field4 Author Orcid Image ;   Chirag Patel5 Author Orcid Image ;   James Mark Maisel4 Author Orcid Image
Article Authors Cited by (41) Tweetations (13) Metrics

David R. Kaufman   1 , PhD ;   Barbara Sheehan   2 , NP, PhD ;   Peter Stetson   3 , MA, MD ;   Ashish R. Bhatt   4 , MBA ;   Adele I. Field   4 , MFA ;   Chirag Patel   5 , MD, PhD ;   James Mark Maisel   4 , MD

1 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, United States

2 Intel Corp, Health Strategy and Solutions, Santa Clara, CA, United States

3 Memorial Sloan Kettering Cancer Center, Internal Medicine, New York, NY, United States

4 ZyDoc Medical Transcription LLC, Islandia, NY, United States

5 Department of Neurology & Neurological Sciences, Stanford School of Medicine, Stanford University, Palo Alto, CA, United States

Corresponding Author:

  • David R. Kaufman, PhD
  • Department of Biomedical Informatics
  • Arizona State University
  • 13212 East Shea
  • Scottsdale, AZ, 85260
  • United States
  • Phone: 1 4808840250
  • Fax: 1 480-884-0239
  • Email: dave.kaufman@asu.edu