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AI's Impact On Patient Care, Clinical Coding And Quality Metrics

If deployed equitably, AI-enabled clinical intelligence could significantly enhance quality measurement, risk adjustment and care outcomes for all patient populations.

Large language models in health care [PODCAST]

We delve into the intersection of large language models (LLMs) and health care with David Lareau, a health care executive. Since the debut of ChatGPT, the health care sector has been abuzz with anticipation and intrigue regarding the potential applications of LLMs in medicine. However, amidst the excitement lies a critical discussion about the inherent limitations and risks associated with these powerful tools. Join us as we explore the challenges of LLMs hallucinating inaccurate information, the perpetuation of biases in medical data, and the importance of integrating clinical relevancy engines to refine LLM outputs.

Why healthcare LLMs should address clinical quality measures

Large language models can provide a big boost here for providers, says the CEO of Medicomp. But algorithms should be trained on hierarchical condition categories for risk adjustment – and challenges with data quality and bias need addressing.

Medicomp Systems Reaches Healthcare Documentation and Interoperability Milestone with 10 Million Terminology Mappings

20 Tech Experts On What Businesses Should Do Now To Prep For Web3

The changes coming with Web3, the pace of evolution and the responses needed will be different for each business; still, it’s wise to learn about the basics now.

The Potential And Pitfalls Of AI In Healthcare: A Measured Approach

It is critical that healthcare professionals and hospital executives maintain a measured approach toward AI in healthcare.

Intermountain launches interoperable, real-time CDS platform

The FHIR-enabled platform supports provider tools that integrate algorithms and machine learning to improve patient diagnoses.

Health IT leaders must attend to interoperability, value-based care and AI

So says David Lareau, CEO of Medicomp Systems, a HIMSS23 exhibitor, who dives into these trends, and talks about actionable data at the point of care.

HLTH22: 6 Digital Health Executives Share Key Takeaways

We reached out to six digital health executives for their key takeaways and reflection from attending the recent HLTH22 conference.

Diagnosis: EHR Avoidance Syndrome

When this is a reality, clinicians will finally be able to transition from “EHR avoidance” to “EHR engagement.”