Healthcare organizations are investing heavily in both real-world evidence (RWE) studies and artificial intelligence (AI). At first glance, these two fields seem to rely on the same raw material: large healthcare datasets drawn from electronic health records (EHRs), claims databases, registries, genomics, imaging, and patient-generated data. Because the source data often overlaps, it is tempting… Continue reading Data feasibility in Healthcare: Comparing fit-for-purpose and fit-for-training