Search Results: interoperability – Page 6

From classical ML to agentic AI – flexibility is key with clinical AI

Explore how IMO Clinical AI bridges the gap between classical ML and agentic AI, offering solutions that meet varying AI adoption levels.

Streamlining risk adjustment workflows in medical problem lists

Learn how IMO Health experts leverage the medical problem list to enhance HCC data capture, simplify risk adjustment, and support value-based

Getting intentional with data: Intensional vs. extensional value sets

Value sets are vital in enabling optimal data quality in healthcare—but which type should you choose? Keep reading for all the details.

Why clinical terminology matters before (and after) EHR migration

We won’t sugarcoat it—switching EHRs is a pain. But it also presents an opportunity to do things differently and better. Read on

Quality data a necessity for effective AI

Industry leaders delve into the vital importance of data quality in ensuring reliable, effective, and useful NLP and AI solutions in healthcare.

FY 2025 Final IPPS Rule: How it could affect your claims billing

Discover key highlights of the FY 2025 Final IPPS Rule, including how IMO Health flags information with certain ICD-10-CM codes.

Ask an expert: How Clinical AI can amplify data quality across healthcare

Get the scoop on clinical AI and how it can boost data quality across healthcare sectors, courtesy of IMO Health’s new Product

Medical coding systems explained: ICD-10-CM, CPT, SNOMED, and others

This primer is your guide to understanding healthcare's most common medical coding systems. Learn how they're used in clinical documentation and maintained.

A different kind of Rosetta Stone: The pivotal role of clinical interface terminology in healthcare

Discover how clinical terminology serves as the Rosetta Stone of health IT, influencing everything from documentation to billing and beyond.

Leveraging LLMs for smarter value set management

Learn how incorporating LLMs into value set creation optimizes clinical workflows, boosts accuracy, and enables scalable, clinically relevant management.

AI in healthcare: Key terms to know

AI in healthcare is one of the hottest topics today – and for good reason. Brush up on key terms in this

Advancing solutions with NLP and data normalization

Explore how NLP-driven data normalization can help you manage clinical data complexities and bring health tech solutions to market faster.

[ POINT OF CARE WORKFLOW ]

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Search Results: interoperability – Page 6

[ POINT OF CARE WORKFLOW ]

[ DATA QUALITY MANAGEMENT ]