NLP in Healthcare 3/3: ChatGPT, MedPalm and the impact of NLP in healthcare
This episode is the last on in the series of three discussions about natural language processing in healthcare. In the first episode, I discussed the state of symptom checkers with Jeff Cutler, CCO of Ada Health – the leading symptom-checking provider. In the second episode, CEO of Suki, Punit Singh Soni, explained where voice technology is today in helping doctors better manage their medical records and notes taking. And today’s discussion will give you a comment and critical perspective on using ChatGPT in healthcare and other large language models such as Google’s MedPalm.
OBJECTIVES OF THE DISCUSSION:
- To clarify the state of natural language processing in healthcare – to which extent is this moving from research to practical use,
- To create a clear, realistic picture of ChatGPT and MedPaLM implications
Alexandre Lebrun – CEO of Nabla – a french company that has created an AI-based medical assistant that makes healthcare professionals more efficient. For instance, it automates clinical documentation and patient engagement.
Israel Krush, CEO of Hyro – mostly present in the US market – the world’s first headache-free conversational AI, especially focused on healthcare. It’s used for automation across call centers, mobile apps, websites and SMS include physician search, scheduling, prescription refills, FAQs and more. You’re doing this mostly in the US, supporting patient communications for health systems like Mercy Health, Baptist Health and Novant Health.
Video recording: https://www.youtube.com/watch?v=nzKTcjPX-qg&t=3s