Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
Digital medicine is an interdisciplinary field, drawing together stakeholders with expertize in engineering, manufacturing, clinical science, data science, biostatistics, regulatory science, ethics, patient advocacy, and healthcare policy, to name a few. Although this diversity is undoubtedly valuable, it can lead to confusion regarding terminology and best practices. There are many instances, as we detail in this paper, where a single term is used by different groups to mean different things, a
Record details
Published: 14 April 2020
Source: OpenAlex
Category: Research
Topics: Regulation · Privacy · Healthcare
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Swarm Learning for decentralized and confidential clinical machine learning
OpenAlex · 26 May 2021
Federated Learning in a Medical Context: A Systematic Literature Review
OpenAlex · 2 June 2021
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery
OpenAlex · 6 November 2018
Explainable AI for Healthcare 5.0: Opportunities and Challenges
OpenAlex · 1 January 2022
Ethical Issues for Direct-to-Consumer Digital Psychotherapy Apps: Addressing Accountability, Data Protection, and Consent
OpenAlex · 23 April 2018
Patient Privacy in the Era of Big Data
OpenAlex · 12 September 2017
How to cite this record
ethics.ai (14 April 2020), “Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs),” evidence record 8774, https://ethics.ai/record/8774 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.