Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint.

Q1 Computer Science
Digital Biomarkers Pub Date : 2021-03-23 eCollection Date: 2021-01-01 DOI:10.1159/000514730
Jennifer C Goldsack, Ariel V Dowling, David Samuelson, Bray Patrick-Lake, Ieuan Clay
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引用次数: 23

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.

数字测量的评估、接受和鉴定:从概念验证到终点。
为了支持在医疗产品开发的内部决策和证据生成中成功采用数字措施,我们提出了一个统一的词汇来帮助整个过程中的沟通,并强调了关键概念,包括参与者参与数字措施开发的关键作用。我们详细介绍了将成功的概念验证扩展到规模的步骤,重点介绍了开发新数字测量的关键决策:提出正确的问题,优化评估新测量的方法,以及是否以及如何追求资格或接受。在建立验证、分析和临床验证的V3框架的基础上,我们讨论了收集这些证据的战略和实际考虑,并举例说明了该领域开创性的数字措施的具体例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Biomarkers
Digital Biomarkers Medicine-Medicine (miscellaneous)
CiteScore
10.60
自引率
0.00%
发文量
12
审稿时长
23 weeks
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