Semi-automated pipeline to accelerate multi-site flowsheet alignment and concept mapping in electronic health records
Electronic health record data field alignment with concept mapping offers opportunities to standardize data elements presented in flowsheets across health-care sites. We demonstrated the feasibility of leveraging a semi-automated pipeline to streamline the EHR flowsheet alignment and accelerate the manual concept mapping process.
Authors
- Po‐Yin Yen (ORCID: https://orcid.org/0000-0002-7061-4185)
- Jennifer Thate (ORCID: https://orcid.org/0000-0003-1750-8145)
- Albert M. Lai (ORCID: https://orcid.org/0000-0002-9241-2656)
- Sarah Collins Rossetti (ORCID: https://orcid.org/0000-0003-2632-8867)
- Hao Fan (ORCID: https://orcid.org/0000-0001-6853-893X)
- Rosemary Mugoya
Institutions
- Washington University in St. Louis (US)
- Barnes-Jewish College (US)
- Columbia University Irving Medical Center (US)
- Siena College (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-05-16
- DOI
- https://doi.org/10.1093/jamia/ocaf076
- Citations
- 3
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Agency for Healthcare Research and Quality