Main Library

Why healthcare LLMs should address clinical quality measures

February 7, 2024Bill SiwickiHealthcare IT NewsArtificial Intelligence (AI),Quality Metrics, Quality Reporting, Clinical Quality Measures (CQMs),Technology & Digital Health

Large language models, a form of artificial intelligence, are generating a lot of hype in healthcare circles, primarily because of their potential to transform and improve various aspects of healthcare delivery and management. The buzz also is driven by rapid advancements in AI and machine learning.

But while there’s significant potential, challenges and ethical considerations remain, including concerns about data privacy and security, lingering bias, regulatory issues, data precision and more.

In short, AI is poised to do big things – but can it be made to work for clinicians?

Medicomp Systems CEO David Lareau believes it can – if the industry leverages complementary technologies that take advantage of the power of AI.

Healthcare IT News sat down with Lareau to talk about AI, LLMs and the future of healthcare.

Full Article

Recent Posts

  • RECORDED WEBINAR: From Insight to Action: Applying Trends to Your Population
  • ‘It’s Getting Paid for Doing the Right Thing’: Rethinking Value-Based Care in the Behavioral Health-Medicaid Alliance
  • Tech and Value-Based Care: How Leaders of Northbridge, Juniper, Anthem Are Pivoting for the Boomers
  • Value-based care expected to see revenue increases this year, survey finds
  • How payers can drive value-based care forward
 
  • Main Lobby
  • Exhibit Hall
  • Events
  • Exhibit With Us
  • Board Room
  • Library
  • Contact Us