Building the case for actionable ethics in digital health research supported by artificial intelligence

Camille Nebeker, John Torous, Rebecca Ellis

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer exciting opportunities for researchers to passively observe and/or track patients 'in the wild' and 24/7. The volume of granular personal health data gathered using these technologies is unprecedented, and is increasingly leveraged to inform personalized health promotion and disease treatment interventions. The use of artificial intelligence in the health sector is also increasing. Although rich with potential, the digital health ecosystem presents new ethical challenges for those making decisions about the selection, testing, implementation and evaluation of technologies for use in healthcare. As the 'Wild West' of digital health research unfolds, it is important to recognize who is involved, and identify how each party can and should take responsibility to advance the ethical practices of this work. While not a comprehensive review, we describe the landscape, identify gaps to be addressed, and offer recommendations as to how stakeholders can and should take responsibility to advance socially responsible digital health research.

Original languageEnglish (US)
Article number137
JournalBMC medicine
Volume17
Issue number1
DOIs
StatePublished - Jul 17 2019

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Artificial Intelligence
Ethics
Health
Research
Technology
Mobile Applications
Delivery of Health Care
Health Promotion
Social Support
Ecosystem
Decision Making
Research Personnel

Keywords

  • Artificial intelligence
  • Bioethics
  • Digital health
  • Digital medicine
  • Precision medicine
  • Research ethics

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Building the case for actionable ethics in digital health research supported by artificial intelligence. / Nebeker, Camille; Torous, John; Ellis, Rebecca.

In: BMC medicine, Vol. 17, No. 1, 137, 17.07.2019.

Research output: Contribution to journalReview article

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