HealAI: A Healthcare LLM for Effective Medical Documentation

What is it about?

Artificial Intelligence (AI) has been making significant progress in various sectors, but its potential in healthcare is still untapped. In this talk, we discuss our endeavor in developing the first healthcare-specific LLM aimed at effectively generating medical SOAP (Subjective, Objective, Assessment, Plan) notes. Our findings indicate that our model outperforms not only various similar-size general models but also GPT-4 when tasked with this complex undertaking.

Featured Image

Why is it important?

Our research is vital for two main reasons: firstly, its real-world implications in healthcare. Our implementation of AI in medical documentation alleviates the burden from healthcare professionals, increasing their productivity and preventing clinician burnout. Secondly, our work impacts the research community by proving that domain-specific smaller LLMs can compete with larger models like GPT4 and even human performance in their specific domains. This finding suggests that deploying smaller models, which are cheaper and easier to train, test, and implement, can be extremely effective, thus showcasing the practical benefits of AI in both industry settings and the healthcare sector.