Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.

Journal: Journal of the American Medical Directors Association

PMID: 37838000

Abstract

OBJECTIVES: To determine the scope of the application of natural language processing to free-text clinical notes in post-acute care and provide a foundation for future natural language processing-based research in these settings.

Authors

Danielle Scharp

Columbia University School of Nursing, New York, NY.
Mollie Hobensack

Columbia University School of Nursing, United States. Electronic address: mxh2000@cumc.columbia.edu.
Anahita Davoudi

Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA.
Maxim Topaz

Division of General Internal Medicine and Primary Care, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.

Keywords

Documentation Humans Natural Language Processing Subacute Care

External Resources

View on PubMed Access via DOI PubMed (37838000)

Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.

Abstract

Authors

Keywords

External Resources

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