Clinical technology specialists
Abstract
Who needs them? We do We are in the midst of a rapid proliferation of patient facing clinical technologies. More than 50 000 mobile health applications are available for people to download directly onto their mobile devices, and the number grows daily. A range of commercial wearable sensors (such as wristbands, patches, chest monitors) are also appearing to promote healthy lifestyles or to monitor medical conditions in the context of clinical care, strengthening the role of patients in quantified self tracking.1 2 Two way video and texting applications are making different forms of telemedicine increasingly accessible and popular. Every day more and more people look to internet based resources such as chat forums to help them understand their medical conditions and explore treatment options. In the United States, the Health Information Technology for Economic and Clinical Health (HITECH) Act was signed into law in 2009 to promote and incentivize the broad adoption and meaningful use of health information technology to improve healthcare.3 Apple recently began offering software that culls and centralizes users’ health information as a standard feature of their new operating system …
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Both clinical and cost effectiveness of the COINCIDE trial persisted at two years.
“Both clinical and cost effectiveness persisted at two years. 614”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [614]
Cites
Mohr, D. C., Cuijpers, P., & Lehman, K. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1602 · Cited by 1,097 · see citing works
Swan, M. (2009) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph6020492 · Cited by 730 · 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
Smart wearable body sensors for patient self-assessment and monitoring
Appelboom, G., Camacho, E., Abraham, M. E., Bruce, S. S., Dumont, E. L., Zacharia, B. E., D’Amico, R. S., Slomian, J., Reginster, J., Bruyère, O., et al. (2014) · Archives of Public Health · doi:10.1186/2049-3258-72-28 · Cited by 445 · see citing works
E-health: transforming the physician/patient relationship
Ball, M. J., & Lillis, J. (2001) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(00)00130-1 · Cited by 406 · see citing works
Factors that influence public engagement with eHealth: A literature review
Hardiker, N. R., & Grant, M. J. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.10.017 · Cited by 207 · see citing works
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Time for united action on depression: a Lancet–World Psychiatric Association Commission
Herrman, H., Patel, V., Kieling, C., Berk, M., Buchweitz, C., Cuijpers, P., Furukawa, T. A., Kessler, R. C., Kohrt, B. A., Maj, M., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(21)02141-3 · Cited by 1,104 · see citing works
Mohr, D. C., Lyon, A. R., Lattie, E. G., Reddy, M., & Schueller, S. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7725 · Cited by 432 · see citing works
The WPA-Lancet psychiatry commission on the future of psychiatry
Bhugra, D., Tasman, A., Pathare, S., Priebe, S., Smith, S., Torous, J., Arbuckle, M. R., Langford, A., Alarcón, R. D., Chiu, H. F. K., et al. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30333-4 · Cited by 392 · see citing works
Torous, J., Wisniewski, H., Liu, G., & Keshavan, M. (2018) · JMIR Mental Health · doi:10.2196/11715 · Cited by 201 · see citing works
Torous, J., Wisniewski, H., Bird, B., Carpenter, E., David, G., Elejalde, E., Fulford, D., Guimond, S., Hays, R., Henson, P., et al. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00095-w · Cited by 202 · see citing works
Schueller, S. M., Tomasino, K. N., & Mohr, D. C. (2017) · Clinical Psychology: Science and Practice · doi:10.1037/h0101740 · Cited by 70 · see citing works
Ben-Zeev, D., Scherer, E. A., Gottlieb, J. D., Rotondi, A. J., Brunette, M. F., Achtyes, E. D., Mueser, K. T., Gingerich, S., Brenner, C. J., Begale, M., et al. (2016) · JMIR Mental Health · doi:10.2196/mental.6348 · Cited by 137 · see citing works
Self-citationAchtyes, E. D., Ben-Zeev, D., Luo, Z., Mayle, H., Burke, B., Rotondi, A. J., Gottlieb, J. D., Brunette, M. F., Mueser, K. T., Gingerich, S., et al. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2018.11.026 · Cited by 35 · see citing works
Self-citationCoaching to Support Mental Health Apps: Exploratory Narrative Review
Meyer, A., Wisniewski, H., & Torous, J. (2022) · JMIR Human Factors · doi:10.2196/28301 · Cited by 34 · see citing works
- Authors
- Ben-Zeev, D., Drake, R., & Marsch, L.
- Affiliations
- Dartmouth Psychiatric Research Center (US)
- ORCID
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2015-02-19
- Volume
- 350
- Issue
- feb19 15
- Pages
- h945-h945
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W2071005152
- Cited by
- 66
- References
- 6
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 8 · 2023: 5 · 2022: 7 · 2021: 5 · 2020: 7 · 2019: 5 · 2018: 6 · 2017: 3 · 2016: 5 · 2015: 1
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- BMJ (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Drug Abuse (P30DA029926)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- mobile health apps, wearable sensors, quantified self, telemedicine, patient engagement, HITECH Act, health information technology
- MeSH terms
- Workforce, Attitude of Health Personnel, Decision Making, Organizational, Diffusion of Innovation, Humans, Specialization, Technology Assessment, Biomedical, United States, Biomedical Technology, Quality Improvement
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