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Unsupervised Learning
Ep 27: Oscar Co-Founder Mario Schlosser on How LLMs Can Be Used in Healthcare Today and The Path to AI Doctors
Feb 13, 2024
Oscar Health Co-Founder Mario Schlosser discusses the impact of AI in healthcare, top AI use cases at Oscar, adoption challenges, and limitations of GPT-4 in healthcare. He also shares his views on open-source vs. off-the-shelf vs. healthcare-specific LLMs and why we can't have robot doctors today.
01:03:44
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Quick takeaways
- AI can significantly impact healthcare by processing formal and informal language, streamlining processes and increasing transparency.
- Oscar Health uses AI in administrative tasks to improve operational efficiency and in clinical areas to improve outcomes and reduce costs.
Deep dives
AI in Healthcare will Benefit from Formal and Informal Language Processing
One of the main areas where AI can have a significant impact in healthcare is in processing both formal and informal language. Healthcare involves a mix of highly structured and regulated information, such as medical codes and guidelines, as well as human language in conversations between patients, physicians, and in electronic medical records. This unique combination has led to comparatively less algorithmic coverage in healthcare. However, current advancements in language models, like GPT-4, offer the potential to bridge this gap by effectively processing and understanding both formal and informal healthcare language. Implementing AI models in areas like healthcare administration, such as claims processing or creating clear summaries of medical information, can streamline processes and increase transparency. The goal is to leverage AI to create a healthcare system that provides real-time information, cost transparency, and eliminates issues like claims denials and complicated authorization processes.
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