Omni Know-How
March 11, 2026
In healthcare, insight rarely comes from a single dataset. It comes from understanding not just the traditional sources everyone relies on, but also the emerging and frequently overlooked datasets that fill critical gaps in how we interpret HCP behavior.
Comprehensive healthcare data understanding means continuously evaluating both established and newly available data—particularly those published through open sharing policies—to build a more complete picture of what drives decisions at the point of learning and the point of clinical decision.
Why Closing Data Gaps Matters More Than Ever
HCP behavior is influenced by more than specialty or prescribing history. Quality accountability, reimbursement pressure, access constraints, and policy dynamics all shape how providers engage with education and make treatment decisions.
As government agencies and payors expand transparency initiatives, new datasets are emerging that surface these drivers. Organizations that actively seek out and understand these sources gain sharper insight into HCP priorities—while those that rely solely on familiar data risk operating with blind spots.
Example: MIPS Quality Measures Reveal Provider Focus Areas
Newly published MIPS quality measure performance data offers direct visibility into what providers are being evaluated on via quality measures. At a high level, this data shows which quality measures HCPs prioritize, where performance gaps exist, and what outcomes are tied to financial impact.
When used thoughtfully, these insights help explain why certain topics matter to providers and enable education aligned to their real‑world accountability—supporting relevance at both the point of learning and clinical decision.
Example: Closing Knowledge Gaps Through Open Medicaid Claims Data
Medicaid procedural claims were recently published by CMS and may now provide deeper insights into utilization and payment patterns—particularly for drugs covered under the medical benefit
Richer Data, Stronger Decisions
The advantage isn’t simply more data—it’s knowing which datasets matter and how they work together. That requires disciplined monitoring, advanced analytics, and the ability to translate insight into action.
By combining 15+ years of proprietary HCP behavioral data with 3rd party sources and a variety of open data sources, Relevate Health closes critical knowledge gaps and creates campaigns that prompt better healthcare decisions—where learning happens and where care decisions are made.