Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications

Zolnoori, M., Zolnour, A., Vergez, S., Sridharan, S., Spens, I., Topaz, M., Noble, J. M., Bakken, S., Hirschberg, J., Bowles, K., Onorato, N., & McDonald, M. V. (2024). Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae300
Authors:
Maryam Zolnoori
Ali Zolnour
Sasha Vergez
Sridevi Sridharan
Ian Spens
Maxim Topaz
James M. Noble
Suzanne Bakken
Julia Hirschberg
Kathryn H. Bowles
Nicole Onorato
Margaret McDonald
Affiliated Authors:
Maryam Zolnoori
Ali Zolnour
Maxim Topaz
James M. Noble
Suzanne Bakken
Julia Hirschberg
Columbia Affiliation:
Subjects:
Natural Language Processing (MeSH)
Electronic Health Records (MeSH)
Machine Learning (MeSH)
Cognitive Dysfunction (MeSH)
Nurse-Patient Relations (MeSH)
Communication (MeSH)
Algorithms (MeSH)
Quality of Nursing Documentation and Evaluation Approaches (OpenAlex Topic)
Biomedical Ontologies and Text Mining (OpenAlex Topic)
Deep Learning Applications in Healthcare (OpenAlex Topic)
Author Keywords:
cognitive impairment
home healthcare
patient-nurse verbal communication
screening algorithms
machine learning
natural language processing
elink
Publication Type:
Article
Unique ID:
10.1093/jamia/ocae300
PMID:
39667364
DOI:
10.1093/jamia/ocae300
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
OpenAlex
Source Link:
View OpenAlex Record
View PubMed Record
View Web of Science Record
View Scopus Record

Record Created: