Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer
A high proportion of decedents attained specified EOLC-QMs more than 30 days before death. Our findings indicate that NLP is a feasible approach to measuring quality of care for children with cancer at the end of life and is ripe for multi-center research and quality improvement.
Authors
- Charlotta Lindvall (ORCID: https://orcid.org/0000-0003-2090-2039)
- Meghan Lindsay (ORCID: https://orcid.org/0009-0003-7004-5175)
- Sophia de Oliveira
- Prasanna Ananth (ORCID: https://orcid.org/0000-0002-5614-7445)
- Kate Sciacca
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Yale Cancer Center (US)
- Yale University (US)
- Dana-Farber Cancer Institute (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1200/cci.24.00134
- Citations
- 4
- Primary Topic
- Palliative Care and End-of-Life Issues
- Type
- article
- Field-Weighted Citation Impact
- 2.17
Funders
- National Institutes of Health
- National Cancer Institute