Search Results: interoperability – Page 6

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Discover how clinical terminology serves as the Rosetta Stone of health IT, influencing everything from documentation to billing and beyond.
Learn how incorporating LLMs into value set creation optimizes clinical workflows, boosts accuracy, and enables scalable, clinically relevant management.
AI in healthcare is one of the hottest topics today – and for good reason. Brush up on key terms in this
Explore how NLP-driven data normalization can help you manage clinical data complexities and bring health tech solutions to market faster.
Discover how enhancing data quality with clinical terminology can streamline the cleanup process and boost overall provider satisfaction.
Understand how AI-powered solutions can boost efficiency, cost savings, and user satisfaction, plus how to overcome common obstacles of AI integration.
Understand the barriers to superior data quality in healthcare, plus key strategies for extracting, standardizing, and enriching health information.
While the technology is certainly impressive, it’s the diverse and specialized human intelligence behind IMO Clinical AI that makes all the difference.
Learn how value sets impact data use and EHR workflows, plus how organizations can enhance their creation and maintenance with innovative tools.
Let's explore how better HCC capture can improve payer-provider collaboration, leading to enhanced data quality and more efficient workflows in healthcare.
Struggling with data standardization in health tech? Discover how IMO Precision Normalize can seamlessly integrate with your tech stack.
By leveraging rich clinical terminology and IMO Clinical AI to train LLMs, the accuracy of medical coding can be greatly improved.