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Datavant thought leaders discuss real-world data, patient privacy, and more.
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De-identifying Clinical Notes Without Destroying Their Value
Most de-identification programs have been built for structured records, which make up only 10-20% of health data. Health insurance claims, lab test results, and prescription dispensing information are…
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From film sets to cybersecurity: Finding the career I wanted
Humans of Datavant is a series about the people behind our mission – the experiences that shaped them, the paths that brought them here, and what they’re learning…
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What Real Payer Interoperability Takes
Standards have advanced the industry. They haven’t closed the gap between theoretical access and the clinical data payers need to run their programs. Ask any payer running risk…
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Medicare Advantage Chart Retrieval Is at an Inflection Point. Here’s What Plans Should Do About It
V28 is fully phased in. RADV audits are quarterly. Audio-only and unlinked CRR diagnoses are out. The plans that modernize retrieval now will protect both their risk scores…
Read MoreMedicare Advantage Chart Retrieval Is at an Inflection Point. Here’s What Plans Should Do About It
From AI Hype to AI Maturity: Why Healthcare Needs A Resilient Trust Infrastructure
Healthcare organizations are operating under increasing structural pressure. Administrative complexity continues to grow. Compliance and governance expectations are expanding. Labor constraints persist. And leaders are being asked to…
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From Linkage to Evidence: A More Integrated Approach to RWE
Recent announcements across the life sciences industry, including new patient-anchored data initiatives, have brought attention to an important question: when companies invest in real-world data (RWD), what actually…
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The future of agentic AI in real-world evidence generation
As Datavant builds the agentic AI platform to accelerate the path from data to trusted evidence for Life Sciences organizations, it is critical not only to consider what…
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A More Practical Approach to HIPAA Expert Determination
Most Expert Determinations are not shaped by statistical analysis alone. They are also shaped by factors beyond the dataset, including how the data will be used, who can…
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