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Multiple Choice

Which of the following is NOT typically used as a source of real-world data to evaluate drug safety and effectiveness outside randomized trials?

Real-world data come from human healthcare experiences outside the framework of randomized trials, providing observations of how a drug performs in diverse patient populations. Electronic health records capture detailed, patient-level information over time, including diagnoses, treatments, lab results, and outcomes. Claims data reflect real-world healthcare utilization and costs across large groups, useful for safety monitoring and comparative effectiveness research. Disease registries assemble standardized, longitudinal data for specific diseases or therapies, aiding long-term safety and effectiveness assessment in routine practice. Animal models, by contrast, are preclinical tools used to study biology, mechanisms, and potential toxicities before human testing; they do not provide real-world human outcome data. So animal models aren’t typically used as sources of real-world data to evaluate safety and effectiveness outside randomized trials.

Real-world data come from human healthcare experiences outside the framework of randomized trials, providing observations of how a drug performs in diverse patient populations. Electronic health records capture detailed, patient-level information over time, including diagnoses, treatments, lab results, and outcomes. Claims data reflect real-world healthcare utilization and costs across large groups, useful for safety monitoring and comparative effectiveness research. Disease registries assemble standardized, longitudinal data for specific diseases or therapies, aiding long-term safety and effectiveness assessment in routine practice. Animal models, by contrast, are preclinical tools used to study biology, mechanisms, and potential toxicities before human testing; they do not provide real-world human outcome data. So animal models aren’t typically used as sources of real-world data to evaluate safety and effectiveness outside randomized trials.