Key result
Large EHR and IPD datasets offer novel opportunities to externally validate clinical prediction models despite challenges.
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Design
Review
May enable wider external validation of prediction models via e-health data; leaves open optimal methods amid reporting gaps.
Access to big datasets from e-health records and individual participant data (IPD) meta-analysis is signalling a new advent of external validation studies for clinical prediction models. In this article, the authors illustrate novel opportunities for external validation in big, combined datasets, while drawing attention to methodological challenges and reporting issues.
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Riley et al. (2016) studied this question. Big datasets from e-health records and IPD meta-analyses offer novel opportunities for external validation of clinical prediction models, despite methodological and reporting challenges.
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