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Fit For Purpose RWD
Explore the key elements that make RWD fit for purpose to address the research questions at hand – data relevance and reliability – and how to ensure RWD is fit for purpose for clinical trials.
A New CDISC Standard for Reliable Real World Data
Blog Post
RWD in SDTM/ADaM is Unreliable, Until It Isn’t
Blog Post
RWD Reliability
Solving real-world data (RWD) reliability challenges for use in regulatory decision-making
Blog Post
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RWD Validation
Core Concepts in Pharmacoepidemiology: Validation of Health Outcomes of Interest Within Real-World Healthcare Databases
Paper
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RWD Validation
Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD)
Paper
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RWD Validation
How to validate a diagnosis recorded in electronic health records
Paper
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RWD Validation
Validation and impact of algorithms for identifying variables in observational studies of routinely collected data
Paper
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RWD Validation
Development and Evaluation of the Algorithm CErtaInty Tool (ACE-IT) to Assess Electronic Medical Record and Claims-based Algorithms’ Fit for Purpose for Safety Outcomes
Paper
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RWD Validation
Accuracy of heart failure ascertainment using routinely collected healthcare data: a systematic review and meta-analysis
Paper
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RWD Validation
Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data
Paper
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