Cargando…
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions
OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to decide how to balance competing demands. How this tim...
Autores principales: | Park, Jihyun, Kotzias, Dimitrios, Kuo, Patty, Logan IV, Robert L, Merced, Kritzia, Singh, Sameer, Tanana, Michael, Karra Taniskidou, Efi, Lafata, Jennifer Elston, Atkins, David C, Tai-Seale, Ming, Imel, Zac E, Smyth, Padhraic |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857514/ https://www.ncbi.nlm.nih.gov/pubmed/31532490 http://dx.doi.org/10.1093/jamia/ocz140 |
Ejemplares similares
-
Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification
por: Atkins, David C, et al.
Publicado: (2014) -
Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills
por: Tanana, Michael J, et al.
Publicado: (2019) -
Patient-Oncologist Communication Regarding Oral Chemotherapy During Routine Office Visits
por: Nguyen, Bobbie K. H., et al.
Publicado: (2020) -
Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol
por: Creed, Torrey A., et al.
Publicado: (2022) -
Machine learning to predict final fire size at the time of ignition
por: Coffield, Shane R., et al.
Publicado: (2019)