Large Language Models to Identify Advance Care Planning in Patients With Advanced Cancer.

Journal: Journal of pain and symptom management

PMID: 39586429

Abstract

CONTEXT: Efficiently tracking Advance Care Planning (ACP) documentation in electronic heath records (EHRs) is essential for quality improvement and research efforts. The use of large language models (LLMs) offers a novel approach to this task.

Authors

Nicole D Agaronnik

Harvard Medical School, Boston, MA.
Joshua Davis

Dana-Farber Cancer Institute, Boston, MA.
Christopher R Manz

Harvard Medical School, Boston, MA.
James A Tulsky

Harvard Medical School, Boston, MA.
Charlotta Lindvall

Harvard Medical School, Boston, MA.

Keywords

Advance Care Planning Aged Documentation Electronic Health Records Female Humans Large Language Models Male Middle Aged Natural Language Processing Neoplasms Palliative Care

External Resources

View on PubMed Access via DOI PubMed (39586429)

Large Language Models to Identify Advance Care Planning in Patients With Advanced Cancer.

Abstract

Authors

Keywords

External Resources

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