Resource Library

Tag: Data Quality and Standardization

Join our experts as they share real client stories showing how active, precise documentation and standardized terminology strengthen risk adjustment, reduce denials,…
Webinar
Clinical Terminology
Learn why our industry-leading clinical terminology and dedication to data quality earned IMO Health two Best in Business Awards from Modern Healthcare.
Article
Financial Return
Before we head into the new year, let’s reflect on some of the most significant news stories in health tech from December…
Article
Interoperability
Prep for 2026 without stress. Explore key Health IT updates, from USCDI V3 to RADV audits, along with other helpful resources. What…
Article
Clinical Terminology
Discover how IMO Health and Redox ensure clean data from the start to support decision making, insight gathering, and artificial intelligence (AI)…
Article
Interoperability
Learn how Norstella automated code updates, reduced onboarding and cleansing time, and decreased manual labor costs by partnering with IMO Health.
Case Study
Data Quality and Standardization
See how generative AI and clinical terminology are transforming systematic literature reviews to make evidence generation faster and scalable.
Article
Clinical Terminology
See how generative AI and clinical terminology are transforming systematic literature reviews to make evidence generation faster and scalable.
Insight Brief
Clinical Terminology
EHRs hold rich clinical data, but not in research-ready form. Discover how IMO Health helps life sciences turn complexity into clear insights.
Article
Clinical Documentation and Coding
Leaders from UNC, Johns Hopkins Medicine, and IMO Health weigh in on the future of diagnostics. Learn key takeaways from this on-demand…
Article
Clinical Terminology
This session explores how structured, standardized ontologies can support clinicians in diagnosing rare disorders, streamline documentation at the point of care, and…
Webinar
Clinical Terminology
At ISPOR 2025, experts explored how GenAI is helping close evidence gaps in rare diseases – turning messy data into reliable, reproducible…
Article
Financial Return

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