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

Electronic Health Records (1799) Clinical Informatics (2402) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (1045) Clinical Information and Decision Making (3909)

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 (1) 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