Assessing genetic counseling efficiency with natural language processing
This work demonstrated the practical value of NLP to provide a useful and scalable strategy to generate real world evidence of GC efficiency. Principles presented in this work may also be valuable for health services research in other practice areas.
Authors
- Michelle Hoang Nguyen (ORCID: https://orcid.org/0000-0002-7689-646X)
- Crystal Tichnell (ORCID: https://orcid.org/0000-0003-3465-294X)
- Casey Overby Taylor (ORCID: https://orcid.org/0000-0001-9302-5968)
- Brittney Murray (ORCID: https://orcid.org/0000-0001-7870-8584)
- Lisa R. Yanek (ORCID: https://orcid.org/0000-0001-7117-1075)
- Cynthia James (ORCID: https://orcid.org/0000-0003-0854-0418)
- Carolyn Applegate (ORCID: https://orcid.org/0000-0002-9323-3887)
- Ayah Zirikly
- Catherine Gordon
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1093/jamia/ocaf190
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Institutes of Health