As the healthcare industry grapples with how to effectively harness artificial intelligence (AI), specifically large language models (LLMs), to convert raw data into actionable insights, one of the keys to success is semantic interoperability – the ability to transmit clinical concepts while preserving clinical intent.
However, achieving semantic interoperability, especially in healthcare data, is a significant challenge.
In this webinar, IMO subject matter expert Amol Bhalla, MD, unpacks the complexities of this task and explains why clinically trained LLMs, that are then used for natural language processing (NLP) applications, are critical to derive accurate healthcare insights.
Trailer
