This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (191) Security and Privacy of mHealth and uHealth (124) Ethics, Privacy, and Legal Issues (479)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27343, first published .
Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Authors of this article:

Nicole Martinez-Martin1 Author Orcid Image ;   Henry T Greely2 Author Orcid Image ;   Mildred K Cho1 Author Orcid Image
Article Authors Cited by (37) Tweetations (19) Metrics

Journals

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  10. Smith K, Blease C, Faurholt-Jepsen M, Firth J, Van Daele T, Moreno C, Carlbring P, Ebner-Priemer U, Koutsouleris N, Riper H, Mouchabac S, Torous J, Cipriani A. Digital mental health: challenges and next steps. BMJ Mental Health 2023;26(1):e300670 View
  11. Marciano L, Vocaj E, Bekalu M, La Tona A, Rocchi G, Viswanath K. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review. Journal of Medical Internet Research 2023;25:e45540 View
  12. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  13. Pizzoli S, Monzani D, Conti L, Ferraris G, Grasso R, Pravettoni G. Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide. Frontiers in Psychology 2023;14 View
  14. Worthington M, Christie R, Masino A, Kark S. Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists. JMIR Formative Research 2024;8:e48894 View
  15. Tani N, Fujihara H, Ishii K, Kamakura Y, Tsunemi M, Yamaguchi C, Eguchi H, Imamura K, Kanamori S, Kojimahara N, Ebara T. What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies. Journal of Occupational Health 2024;66(1) View
  16. Fuhr D, Wolf-Ostermann K, Hoel V, Zeeb H. Digitale Technologien zur Verbesserung der psychischen Gesundheit. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):332 View
  17. Bassil K. Balancing the Double-Edged Implications of AI in Psychiatric Digital Phenotyping. The American Journal of Bioethics 2024;24(2):113 View
  18. Verbeke K, Jain C, Shpendi A, Borry P. Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study. Neuroethics 2024;17(1) View
  19. Hurley M, Sonig A, Herrington J, Storch E, Lázaro-Muñoz G, Blumenthal-Barby J, Kostick-Quenet K. Ethical considerations for integrating multimodal computer perception and neurotechnology. Frontiers in Human Neuroscience 2024;18 View
  20. Kim S, Baek S, Cho C. Psychosocial and digital intervention for patients with schizophrenia. Journal of the Korean Medical Association 2024;67(2):103 View
  21. Pavarini G, Lyreskog D, Newby D, Lorimer J, Bennett V, Jacobs E, Winchester L, Nevado-Holgado A, Singh I. Tracing Tomorrow: young people’s preferences and values related to use of personal sensing to predict mental health, using a digital game methodology. BMJ Mental Health 2024;27(1):e300897 View
  22. Harris C, Tang Y, Birnbaum E, Cherian C, Mendhe D, Chen M. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies. Archives of Clinical Neuropsychology 2024;39(3):290 View
  23. Franklin G, Stephens R, Piracha M, Tiosano S, Lehouillier F, Koppel R, Elkin P. The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective. Life 2024;14(6):652 View
  24. Adams J. Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory. Digital Society 2024;3(2) View
  25. D’Alfonso S, Coghlan S, Schmidt S, Mangelsdorf S. Ethical Dimensions of Digital Phenotyping Within the Context of Mental Healthcare. Journal of Technology in Behavioral Science 2024 View
  26. Sonig A, Deeney C, Hurley M, Storch E, Herrington J, Lázaro-Muñoz G, Zampella C, Tunc B, Parish-Morris J, Blumenthal-Barby J, Kostick-Quenet K. Ethical concerns of using computer perception technologies among pediatric patients. AI and Ethics 2024 View
  27. Annajigowda H, Chaturvedi S. Digital Mental Health: A Way Forward for Public Mental Health. World Social Psychiatry 2023;5(2):153 View
  28. Eversdijk M, Habibović M, Willems D, Kop W, Ploem M, Dekker L, Tan H, Vullings R, Bak M. Ethics of Wearable-Based Out-of-Hospital Cardiac Arrest Detection. Circulation: Arrhythmia and Electrophysiology 2024;17(9) View
  29. Galderisi S, Appelbaum P, Gill N, Gooding P, Herrman H, Melillo A, Myrick K, Pathare S, Savage M, Szmukler G, Torous J. Ethical challenges in contemporary psychiatry: an overview and an appraisal of possible strategies and research needs. World Psychiatry 2024;23(3):364 View
  30. Martinez‐Martin N. A broader approach to ethical challenges in digital mental health. World Psychiatry 2024;23(3):394 View
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Books/Policy Documents

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