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About Real-World Data
Real-world data are the data relating to areas such as patient health status and/or healthcare delivery not collected in conventional randomized controlled trials (RCTs). Examples include data from electronic health records, wearables, medical claims data, surveys, and registries. Real-world data are often used to supplement RCTs and can help support clinical decision making. A number of important topics relate to real-world data, including data integrity and quality assurance, distributed data and research networks, and reproducibility and replicability.
Related ISPOR Reports & Resources
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HARmonized Protocol Template to Enhance Reproducibility of Hypothesis Evaluating Real-World Evidence Studies on Treatment Effects
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Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing
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Good Practices for Real-World Data Studies of Treatment and/or Comparative Effectiveness
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Using Real-World Data for Coverage and Payment Decisions
RELATED ISPOR PUBLICATIONS
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ALL REAL-WORLD DATA RESULTS
EDUCATIONAL OPPORTUNITIES
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