Ethical dilemmas posed by mobile health and machine learning in psychiatry research

• Published in: Bulletin of the World Health Organization Vol. 98; no. 4; pp. 270 - 276
• Main Authors: Jacobson, Nicholas C, Bentley, Kate H, Walton, Ashley, Wang, Shirley B, Fortgang, Rebecca G, Millner, Alexander J, Coombs, 3rd, Garth, Rodman, Alexandra M, Coppersmith, Daniel D L
• Format: Journal Article
• Language: English
• Published: Switzerland World Health Organization 01.04.2020
• Subjects: Algorithms; Best practice; Confidentiality; Consent; Critical incidents; Data collection; Decision making; Ethical dilemmas; Ethics; Ethics, Research; Health research; Information processing; Information seeking behavior; Informed Consent; Learning algorithms; Machine learning; Machine Learning - ethics; Medical research; Mental disorders; Mental health; Mental health services; Multiplication; Policy & Practice; Privacy; Professional practice; Psychiatry; Questions; Resolvers; Smartphones; Statistical analysis; Technology; Telemedicine; Telemedicine - ethics; Transparency; Wrongdoing

The application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on study participants coupled with advances in statistic...