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All Thought Leadership
Category: Health Economics & Outcomes Research

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Health Economics & Outcomes Research

Predictive Modeling and Machine Learning: Sharpening the Focus of Real-World Evidence in the Age of Precision Medicine

Real-world evidence can usefully support precision medicine and faster regulatory approvals. The use of statistical methods to develop better case-identifying algorithms enables use of claims databases to study rare diseases and other targeted indications as well as more valid outcome ascertainment for safety and effectiveness research.

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Health Economics & Outcomes Research

HEOR Trends: Real-World Evidence and Value-Driven Healthcare

As real-world evidence is increasingly used to inform healthcare decision making, including regulatory decisions, robust methodology is becoming ever more critical.

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Health Economics & Outcomes Research

The Evolving Demands for Real-World Evidence

The needs for higher quality and timely real-world evidence has risen to a never-before-seen level, with the clamoring voices of payors, patients and providers alike expressing, often in unison, the need for such evidence to help determine the highest value treatment for the right patient, at the right time.

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Health Economics & Outcomes Research

HEOR Trends: Going Broad and Deep in Real-World Evidence

Traditional methods of generating evidence, from single data sources and perspectives, often no longer meet the needs of our complex health system. HealthCore has the data assets and expertise necessary for going broad and deep in real-world evidence generation.

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