Cargando…
A text mining approach to categorize patient safety event reports by medication error type
Patient safety reporting systems give healthcare provider staff the ability to report medication related safety events and errors; however, many of these reports go unanalyzed and safety hazards go undetected. The objective of this study is to examine whether natural language processing can be used...
Autores principales: | Boxley, Christian, Fujimoto, Mari, Ratwani, Raj M., Fong, Allan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603175/ https://www.ncbi.nlm.nih.gov/pubmed/37884577 http://dx.doi.org/10.1038/s41598-023-45152-w |
Ejemplares similares
-
Evaluation of a Text Message–Based COVID-19 Vaccine Outreach Program Among Older Patients: Cross-sectional Study
por: Ahmed, Naheed, et al.
Publicado: (2022) -
Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis
por: Krevat, Seth A., et al.
Publicado: (2023) -
The impact of COVID-19 on primary care accessibility and the role of telehealth for patients with chronic conditions
por: Boxley, Christian, et al.
Publicado: (2023) -
Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums
por: Himmel, Wolfgang, et al.
Publicado: (2009) -
Variations in Physician Telemedicine Provision
por: Apathy, Nate C., et al.
Publicado: (2023)