AI Article Synopsis

  • Digital phenotyping is being considered for patient self-management, prompting a review of literature focusing on ethical, legal, and social (ELS) challenges in its healthcare implementation.
  • The review used the PRISMA-ScR methodology to identify relevant studies, revealing a predominant focus on technical issues rather than ELS concerns, which limits the understanding of the cultural and social context of these technologies.
  • Key ELS issues identified include privacy, security, consent, regulation, and trust, emphasizing the need for a comprehensive, interdisciplinary approach to tackle the complex challenges of digital phenotyping.

Article Abstract

Digital phenotyping represents an avenue of consideration in patients' self-management. This scoping review aims to explore the trends in the body of literature on ethical, legal, and social challenges relevant to the implementation of digital phenotyping technologies in healthcare. The study followed the PRISMA-ScR methodology (Tricco et al. in Ann Int Med 169(7):467-473, 2018. https://doi.org/10.7326/M18-0850 ). The review systematically identified relevant literature, characterised the discussed technology, explored its impacts and the proposed solutions to identified challenges. Overall, the literature, perhaps unsurprisingly, concentrates on technical rather than ethical, legal, and social perspectives, which limits understanding of the more complex cultural and social factors in which digital phenotyping technologies are embedded. ELS issues mostly concern privacy, security, consent, lack of regulation, and issues of adoptability, and seldom expand to more complex ethical issues. Trust was chosen as an umbrella theme of a continuum of major ELS and technical issues. Sustained critical analysis of digital phenotyping showed to be sparse and geographically exclusive. There is a continuum and overlap between ELS issues, suggesting the need for a holistic, interdisciplinary approach to each of the challenges posed by the various technologies of digital phenotyping.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686352PMC
http://dx.doi.org/10.1007/s11948-021-00354-1DOI Listing

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