Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint
- PMID: 33977218
- PMCID: PMC8077605
- DOI: 10.1159/000514730
Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint
Abstract
To support the successful adoption of digital measures into internal decision making and evidence generation for medical product development, we present a unified lexicon to aid communication throughout this process, and highlight key concepts including the critical role of participant engagement in development of digital measures. We detail the steps of bringing a successful proof of concept to scale, focusing on key decisions in the development of a new digital measure: asking the right question, optimized approaches to evaluating new measures, and whether and how to pursue qualification or acceptance. Building on the V3 framework for establishing verification and analytical and clinical validation, we discuss strategic and practical considerations for collecting this evidence, illustrated with concrete examples of trailblazing digital measures in the field.
Keywords: Acceptance; Digital endpoints; Digital measures; Patient centricity; Qualification; V3.
Copyright © 2021 by S. Karger AG, Basel.
Conflict of interest statement
The authors declare the following competing interests: I.C., B.P.-L., and D.S. are employees of, and own employee stock options in, Evidation Health Inc. A.V.D. is an employee of, and owns employee stock in, Takeda Pharmaceuticals. I.C. is a member of the Digital Medicine Society and the Editorial Board of Karger Digital Biomarkers and has lectured on digital health at ETH Zürich and FHNW Muttenz. A.V.D. is a member and serves on the Strategic Advisory Board of the Digital Medicine Society. B.P.-L. consults for Bayer and is on the Scientific Leadership Board of the Digital Medicine Society.
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References
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