Considerations for Analyzing and Interpreting Data from Biometric Monitoring Technologies in Clinical Trials

Background: The proliferation and increasing maturity of biometric monitoring technologies allow clinical investigators to measure the health status of trial participants in a more holistic manner, especially outside of traditional clinical settings. This includes capturing meaningful aspects of health in daily living and a more granular and objective manner compared to traditional tools in clinical settings. Summary: Within multidisciplinary teams, statisticians and data scientists are increasingly involved in clinical trials that incorporate digital clinical measures. They are called upon to provide input into trial planning, generation of evidence on the clinical validity of novel clinical measures, and evaluation of the adequacy of existing evidence. Analysis objectives related to demonstrating clinical validity of novel clinical measures differ from typical objectives related to demonstrating safety and efficacy of therapeutic interventions using established measures which statisticians are most familiar with. Key Messages: This paper discusses key considerations for generating evidence for clinical validity through the lens of the type and intended use of a clinical measure. This paper also briefly discusses the regulatory pathways through which clinical validity evidence may be reviewed and highlights challenges that investigators may encounter while dealing with data from biometric monitoring technologies.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Considerations for Analyzing and Interpreting Data from Biometric Monitoring Technologies in Clinical Trials ; volume:6 ; number:3 ; year:2022 ; pages:83-97 ; extent:15
Digital biomarkers ; 6, Heft 3 (2022), 83-97 (gesamt 15)

Urheber
Ratitch, Bohdana
Rodriguez-Chavez, Isaac R.
Dabral, Abhishek
Fontanari, Adriano
Vega, Julio
Onorati, Francesco
Vandendriessche, Benjamin
Morton, Stuart
Damestani, Yasaman

DOI
10.1159/000525897
URN
urn:nbn:de:101:1-2022120723291616115674
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:28 MESZ

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Beteiligte

  • Ratitch, Bohdana
  • Rodriguez-Chavez, Isaac R.
  • Dabral, Abhishek
  • Fontanari, Adriano
  • Vega, Julio
  • Onorati, Francesco
  • Vandendriessche, Benjamin
  • Morton, Stuart
  • Damestani, Yasaman

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