Extracting Clinical Features From Dictated Ambulatory Consult Notes Using a Commercially Available Natural Language Processing Tool: Pilot, Retrospective, Cross-Sectional Validation Study

Jeremy Petch   ^{1, 2 *} , BA, MA, PhD ;   Jane Batt   ^{3, 4, 5 *} , MD ;   Joshua Murray   ^{6, 7 *} , MSc ;   Muhammad Mamdani   ^{1, 6, 8, 9 *} , PharmD, MA, MPH

¹ Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

² Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada

³ Division of Respirology, Department of Medicine, University of Toronto, Toronto, ON, Canada

⁴ Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada

⁵ Department of Medicine, St. Michael's Hospital, Toronto, ON, Canada

⁶ Li Ka Shing Centre for Healthcare Analytics Research and Training, St. Michael's Hospital, Toronto, ON, Canada

⁷ Department of Statistical Sciences, Faculty of Arts and Sciences, University of Toronto, Toronto, ON, Canada

⁸ Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada

⁹ Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, ON, Canada

*all authors contributed equally