NVIDIA: LLM That Predicts Patient Readmission

Author(s): Dr. Mandar Karhade, MD. PhD.

Originally published on Towards AI.

Pretraining datasets (NYU Notes, NYU Notes–Manhattan, NYU Notes–Brooklyn)

TLDR

Nearly 15% of hospital patients in the U.S. are readmitted within 30 days of their initial discharge, which is often associated with worse outcomes and higher costs for both patients and hospitals. New York University, with NVIDIA experts, developed a large language model (LLM) that predicts a patient’s risk of 30-day readmission, as well as other clinical outcomes.

Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models have limited use in everyday practice owing to complexity in data processing, as well… Read the full blog for free on Medium.

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Published via Towards AI