Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
Authors
- Justin C. Quon (ORCID: https://orcid.org/0000-0001-8412-557X)
- Neil Bahroos (ORCID: https://orcid.org/0000-0002-6522-1213)
- Amy Chuang
- Amanda Schmitz
- Cindy X. Cai (ORCID: https://orcid.org/0000-0003-3752-7239)
- Brian C. Toy (ORCID: https://orcid.org/0000-0002-9612-5697)
- Sally L. Baxter (ORCID: https://orcid.org/0000-0002-5271-7690)
- Benjamin Yixing Xu (ORCID: https://orcid.org/0000-0003-1573-988X)
- William Halfpenny (ORCID: https://orcid.org/0000-0002-0043-2191)
- Christopher P. Long (ORCID: https://orcid.org/0000-0001-7803-2596)
- Vamsi Daketi
Institutions
- University of Southern California (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Keck Hospital of USC (US)
- University of California San Diego (US)
- Southern California Eye Institute (US)
- Southern California Clinical and Translational Science Institute (US)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1016/j.xops.2024.100666
- Citations
- 3
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Research to Prevent Blindness
- Regeneron Pharmaceuticals
- Alimera Sciences
- National Institutes of Health
- National Eye Institute
- National Center for Advancing Translational Sciences