Mobile Health, Smartphone/Device, and Apps for Psychiatry and Medicine
Abstract
Faculty and trainees need clinical skills, knowledge, and attitudes to ensure quality care using technology. Clinical faculty teach, supervise, and role model skills for trainees and interprofessional team members. Mobile health, smartphone/device, and app competencies may be situated within the graduate medical education milestone domains. This article outlines these competencies and aligns them with clinical care, teaching methods, and evaluation. These competencies have similarities and differences from in-person and telepsychiatric care and additional dimensions like clinical decision support, technology selection, and information flow management across an e-platform. Health systems must integrate in-person and technology-based care, while maintaining the therapeutic relationship.
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There is growing emphasis on the need for greater integration of digital psychiatry into patient care and clinical services.
“This aligns with growing emphasis on the need for greater integration of digital psychiatry, including apps, smartphones, or wearable devices, into patient care and clinical services through institution-wide initiatives and training clinical providers (Hilty, Chan, Torous, Luo, & Boland, 2019).”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Hilty, Chan, Torous, Luo, & Boland, 2019
Cites
A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition
Dreyfus, S. E., & Dreyfus, H. L. (1980) · doi:10.21236/ada084551 · Cited by 1,572 · see citing works
Can Mobile Health Technologies Transform Health Care?
Steinhubl, S. R., Muse, E. D., & Topol, E. J. (2013) · JAMA · doi:10.1001/jama.2013.281078 · Cited by 496 · see citing works
Mobile mental health: Review of the emerging field and proof of concept study
Harrison, V., Proudfoot, J., Wee, P. P., Parker, G., Pavlovic, D. H., & Manicavasagar, V. (2011) · Journal of Mental Health · doi:10.3109/09638237.2011.608746 · Cited by 267 · see citing works
Torous, J., Chan, S. R., Yee-Marie Tan, S., Behrens, J., Mathew, I., Conrad, E. J., Hinton, L., Yellowlees, P., & Keshavan, M. (2014) · JMIR Mental Health · doi:10.2196/mental.4004 · Cited by 228 · see citing works
Self-citationChallenges in Assessing Mobile Health App Quality
Grundy, Q. H., Wang, Z., & Bero, L. A. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.07.009 · Cited by 154 · see citing works
Adherence to mental health treatment in a primary care clinic
Gonzalez, J., Williams, J. W., Noel, P. H., & Lee, S. (2005) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.18.2.87 · Cited by 110 · see citing works
Zalpuri, I., Liu, H. Y., Stubbe, D., Wrzosek, M., Sadhu, J., & Hilty, D. (2018) · Academic Psychiatry · doi:10.1007/s40596-018-0983-6 · Cited by 93 · see citing works
Self-citationErosion of Digital Professionalism During Medical Students’ Core Clinical Clerkships
Mostaghimi, A., Olszewski, A. E., Bell, S. K., Roberts, D. H., & Crotty, B. H. (2017) · JMIR Medical Education · doi:10.2196/mededu.6879 · Cited by 40 · see citing works
Mobile health applications in cardiac care
Honeyman, E., Ding, H., Varnfield, M., & Karunanithi, M. (2014) · Interventional Cardiology · doi:10.2217/ica.14.4 · Cited by 30 · see citing works
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Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice
Naslund, J. A., Bondre, A., Torous, J., & Aschbrenner, K. A. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00134-x · Cited by 746 · see citing works
“This aligns with growing emphasis on the need for greater integration of digital psychiatry, including apps, smartphones, or wearable devices, into patient care and clinical services through institution-wide initiatives and training clinical providers (Hilty et al. 2019).”
BackgroundSelf-citation
- Authors
- Hilty, D. M., Chan, S., Torous, J., Luo, J., & Boland, R. J.
- Affiliations
- VA Northern California Health Care System (US)
- University of California, San Francisco (US)
- Beth Israel Deaconess Medical Center (US)
- University of California, Riverside (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Hilty, Donald M.
- Venue
- Psychiatric Clinics of North America
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 42
- Issue
- 3
- Pages
- 513-534
- ISSN
- 0193-953X (ISSN-L)
- OpenAlex
- W2965448400
- Cited by
- 38
- References
- 9
- Citations by year
- 2026: 6 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 9 · 2020: 8 · 2019: 1
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychiatric Clinics of North America (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- mobile health, smartphones, mobile application, graduate medical education, competency domains, telepsychiatry, clinical decision support, technology selection, information flow management, therapeutic relationship, clinical skills
- MeSH terms
- Education, Medical, Continuing, Humans, Medical Informatics Applications, Professional Competence, Psychiatry, Telemedicine, Computers, Handheld, Mobile Applications
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