LLMs bring great potential to help the healthcare industry center care around patients’ needs by improving communication, access, and engagement. However, LLMs also present significant challenges associated with privacy and bias that also must be considered.

The post How Large Language Models Will Improve the Patient Experience appeared first on MedCity News.

As the healthcare industry grapples with various challenges, from workforce shortages to complex coding intricacies, embracing AI can empower revenue cycle professionals to envision a future with reduced denials, optimized revenue, and fortified financial health.

The post Revolutionizing Revenue: Unleashing the Power of AI in Denials Management appeared first on MedCity News.

This month, the World Health Organization released new guidelines on the ethics and governance of LLMs in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. However, one leader pointed out that fear or the risks associated with LLMs shouldn’t hinder innovation, and another noted that the guidance may have failed to mention a major topic.

The post How Are Healthcare AI Developers Responding to WHO’s New Guidance on LLMs? appeared first on MedCity News.

A recent academic study of the leading LLM AI models’ ability to read and interpret clinical information demonstrates the incredible power of these tools to support healthcare, but concludes that LLMs should be used as “a supplement to existing workflows rather than as a replacement for human expertise.”

The post Can AI Compose Clinical Documentation? Absolutely, but with Limits. appeared first on MedCity News.