Pathology-Driven Automation to Improve Updating Documented Follow-Up Recommendations in the Electronic Health Record After Colonoscopy
An automated rules engine-based tool has the potential to increase the accuracy of colonoscopy follow-up dates recorded in patient EHR. The results emphasize the opportunity for more automated and integrated solutions for updating and maintaining EHR health maintenance activities.
Authors
- Amanda Olesen Wickline
- Gary Kalkut (ORCID: https://orcid.org/0000-0002-6160-2262)
- Aasma Shaukat
- Adam Szerencsy (ORCID: https://orcid.org/0000-0002-0066-4400)
- Elizabeth R. Stevens (ORCID: https://orcid.org/0000-0001-6063-1523)
- Arielle R. Nagler (ORCID: https://orcid.org/0000-0002-3535-1340)
- David Ranson (ORCID: https://orcid.org/0000-0002-6301-7593)
- Seth A. Gross (ORCID: https://orcid.org/0000-0001-8942-865X)
- J. Kwon (ORCID: https://orcid.org/0009-0009-6649-9733)
- Casey Monina
Institutions
- NYU Langone Health (US)
- New York University (US)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2024-11-13
- DOI
- https://doi.org/10.14309/ctg.0000000000000785
- Citations
- 2
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.57