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

Electronic Health Records (1819) Clinical Informatics (2454) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1057) Clinical Information and Decision Making (3987)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73504, first published .
Doctor in white coat holding clipboard, consulting patient in clinic

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 (2) Tweetations (1) Metrics

Journals

  1. Zhao J, Zhang J, Pan L. Effectiveness of a hospital intelligent financial system based on AI and RPA. Frontiers in Public Health 2026;14 View
  2. Silberlust J, Martinez T, Andreadis K, Sonne C, Kothari U, Roncoli T, Mansukhani A, Randhawa H, Will J, Austrian J, Testa P, Feldman J. Robotic Process Automation as an EHR Reliability Layer for Inpatient Care Gaps: Automating Virtual Huddles Using Secure Chat. Applied Clinical Informatics 2026;17(05):955 View