Expert perspective demonstrates a six-component framework for digital health metrics in clinical research, highlighting structured approaches to improve measurement accuracy and regulatory readiness.
Digital health technologies (DHTs) enable continuous and remote measurement in clinical research, but DHT-derived measures require evidence of accuracy, usability, generalizability, and regulatory suitability. Without structured guidance, studies risk generating data that are technically sophisticated but clinically ambiguous and difficult to reproduce. This Perspective presents a six-component framework for selecting, validating, and optimizing DHT-derived measures to the appropriate research question, endpoint role, context of use, and evidentiary purpose.
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Zahavi et al. (2026) studied this question.
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