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

Electronic Health Records (1307) Clinical Informatics (1310) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (697) Clinical Information and Decision Making (1898)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73504, first published .
Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study

Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study

Leveraging Machine Learning and Robotic Process Automation to Identify and Convert Unstructured Colonoscopy Results Into Actionable Data: Proof-of-Concept Study

Authors of this article:

Elizabeth R Stevens1, 2 Author Orcid Image ;   Jager Hartman2 Author Orcid Image ;   Paul Testa2 Author Orcid Image ;   Ajay Mansukhani3 Author Orcid Image ;   Casey Monina3 Author Orcid Image ;   Amelia Shunk1, 4 Author Orcid Image ;   David Ranson3 Author Orcid Image ;   Yana Imberg3 Author Orcid Image ;   Ann Cote3 Author Orcid Image ;   Dinesha Prabhu3 Author Orcid Image ;   Adam Szerencsy2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Elizabeth R Stevens   1, 2 , MPH, PhD ;   Jager Hartman   2 , MS ;   Paul Testa   2 , MD, MPH ;   Ajay Mansukhani   3 , BA ;   Casey Monina   3 , RN ;   Amelia Shunk   1, 4 , MMCi ;   David Ranson   3 , BS ;   Yana Imberg   3 , MHI ;   Ann Cote   3 , MIS ;   Dinesha Prabhu   3 , BS ;   Adam Szerencsy   2 , DO

1 Department of Population Health, Grossman School of Medicine, New York University, New York, United States

2 Department of Health Informatics, Medical Center Information Technology, NYU Langone Health, New York, NY, United States

3 MCIT Clinical Systems NYU Langone, New York, NY, United States

4 School of Medicine, Tulane University, New Orleans, LA, United States

Corresponding Author:

  • Elizabeth R Stevens, MPH, PhD
  • Department of Population Health
  • Grossman School of Medicine, New York University
  • 227 E30th St, Rm 636
  • New York 10016
  • United States
  • Phone: 1 6465012558
  • Email: elizabeth.stevens@nyulangone.org