In this groundbreaking podcast, we delve into the fascinating intersection of healthcare and artificial intelligence, exploring how emerging large language models (LLMs) are transforming the way doctors and patients communicate. In our latest episode, we unpack a pivotal study that tests cutting-edge AI models, like GPT-4 and LLaMA2, to evaluate the quality of palliative care conversations. Traditional methods of assessing patient-provider communication—like surveys and self-assessments—are time-consuming and costly. But could AI be the solution? Tune in to hear how LLMs are not only capturing nuanced metrics like "empathy" and "understanding" but also providing real-time feedback to improve clinical interactions. We’ll discuss the potential for AI to enhance patient outcomes, improve quality of care, and reshape the healthcare landscape. If you're curious about the future of healthcare technology, this episode is a must-listen!

Original paper:

Wang, Z., Yuan, F., LeBaron, V., Flickinger, T., & Barnes, L. E. (2024). PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language Models. https://arxiv.org/abs/2409.15188