Resource Library

Resource Type: Article

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
Learn how Frederick Health dramatically decreased problem list clutter and improved accuracy with IMO Core, enhancing provider trust and patient care.
Case Study
Clinical Terminology
Payers, providers, and payviders all share in the risks and responsibilities of expanding RADV audits. Is your organization ready for what’s next?
Article
Clinical Documentation and Coding
Running a surgical department costs millions of dollars per year. Advanced tools can boost financial performance, operational efficiency, and clinical care.
Article
Clinical Documentation and Coding
CMS is once again moving to phase out Medicare’s Inpatient Only List, raising major questions for providers about reimbursement, safety, and workflows.
Article
Regulatory updates and legislation
Our new suite of fully integrated life sciences solutions aims to empower research organizations and accelerate drug development.
Article
Clinical Terminology
A centralized terminology management platform is essential to maintain data quality, ensure compliance and standardization, and optimize resources.
Article
Clinical Terminology
Vidhya Sivakumaran, PhD, shares how IMO Health proactively added USCDI concepts into its clinical terminology to support providers and health IT partners.
Article
Financial Return
CMS and HHS both use HCCs for risk adjustment, but with different rules, timing, and populations. Learn the key distinctions for 2025.
Article
Clinical Terminology
Half of U.S. rare disease patients are children – yet most face delayed diagnoses and few treatment options. Here’s how structured data…
Article
Clinical Terminology
RVUs shape pay, planning, and care. Learn how clinical documentation improvement strategies can boost RVU capture and maximize the value of clinicians'…
Article
Financial Return
As ambient AI enters clinical care, grounding tools in real-world clinical context is essential to ensure safe, accurate, and explainable outputs.
Article
AI and NLP

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