Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care

Song, J., Min, S. H., Chae, S., Bowles, K. H., McDonald, M. V., Hobensack, M., Barrón, Y., Sridharan, S., Davoudi, A., Oh, S., Evans, L., & Topaz, M. (2023). Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. Journal of the American Medical Informatics Association, 30(11), 1801–1810. https://doi.org/10.1093/jamia/ocad101
Authors:
Jiyoun Song
Se Hee Min
Sena Chae
Kathryn H Bowles
Margaret V McDonald
Mollie Hobensack
Yolanda Barrón
Sridevi Sridharan
Anahita Davoudi
Sungho Oh
Lauren Evans
Maxim Topaz
Affiliated Authors:
Jiyoun Song
Se Hee Min
Mollie Hobensack
Maxim Topaz
Columbia Affiliation:
Subjects:
Hospitalization (MeSH)
Home Care Services (MeSH)
Author Keywords:
clinical deterioration
dynamic time warping
home health care
natural language processing
nursing informatics
risk assessment
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Publication Type:
Article
Unique ID:
10.1093/jamia/ocad101
PMID:
37339524
DOI:
10.1093/jamia/ocad101
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View Scopus Record

Record Created: