Transforming Written and Spoken Words into Quantitative Data for Palliative Care Research Using Natural Language Processing (ME301)

1.  Describe two natural language processing tools.2. Describe a method to reliably and accurately identify populations of interest (i.e. denominator) using electronic health record data.3. Design keyword libraries for rule-based natural language processing.4. Test zero-shot and few-shot text p rompting, using large language models.Chronic disease is the leading cause of death and disability in the United States, accounting for more than 1.7 million deaths each year. These patients accrue hundreds of millions of clinical notes over the course of their illness care, including documentation of data critical for palliative care delivery, such as goals of care conversations, symptoms, and social support.
Source: Journal of Pain and Symptom Management - Category: Palliative Care Authors: Source Type: research