What is a benefit of incorporating multiple data sources in clinical trials?

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Using multiple data sources in clinical trials strengthens the trustworthiness and relevance of findings. Different sources—such as patient-reported outcomes, electronic health records, imaging, lab results, and registries—each have unique strengths and limitations. When outcomes or safety signals align across these sources, the results are more robust because you’re validating findings in diverse contexts and with different measurement methods. This triangulation also helps capture a fuller picture of how an intervention works in real-world settings, improving generalizability to broader patient populations. While integrating multiple sources adds complexity and requires careful data harmonization, it generally enhances data quality and the applicability of results, rather than merely making analysis faster or increasing bias. If sources disagree, that discrepancy can shed light on biases or gaps and guide further investigation.