Should we be using LLMs for discharge summarisation?
MP3•Episode home
Manage episode 512531348 series 3587686
Content provided by Medical Attention. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medical Attention or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
This episode, we discuss some of the challenges in using large language models (LLMs) for the task of summarising inpatient encounters.
- 00:30 - Technical wrap - new models, MiT’s State of AI in Business 2025
- 12:40 - Medical summarisation
- 19:30 - Context Rot: How Increasing Input Tokens Impacts LLM Performance
- 30:50 - Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review
- 40:00 - Evaluating large language models for drafting emergency department encounter summaries
- 42:25 - Evaluating Hospital Course Summarization by an Electronic Health Record-Based Large Language Model
More details in the show notes on our website.
17 episodes