Events

Cancelled: Scalable Natural Language Processing for Transforming Medicine

Speaker: Monica Agrawal

Location: 60 Fifth Avenue

Date: Wednesday, March 1, 2023

The data in electronic health records (EHRs) have immense potential to transform medicine both at the point-of-care and through retrospective research. However, structured data alone can only tell a fraction of patients' clinical narratives, as many clinically important variables are trapped within clinical notes. Automated extraction is difficult since clinical notes are written in their own jargon-heavy dialect, patient histories can contain hundreds of notes, and there is often minimal labeled data available. In this talk, I will discuss scalable natural language processing (NLP) solutions to overcome these technical challenges in clinical information extraction. These include the development of label-efficient modeling methodology and novel techniques for leveraging large language models. I will also describe a new paradigm for EHR documentation that incentivizes the creation of high-quality data at the point-of-care. I will end by discussing opportunities for NLP to impact a variety of healthcare workflows.