Published on 13.08.15 in Vol 3, No 3 (2015): Jul-Sep
Works citing "Use of Mobile Clinical Decision Support Software by Junior Doctors at a UK Teaching Hospital: Identification and Evaluation of Barriers to Engagement"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4388):
(note that this is only a small subset of citations)
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Hamilton JG, Genoff Garzon M, Westerman JS, Shuk E, Hay JL, Walters C, Elkin E, Bertelsen C, Cho J, Daly B, Gucalp A, Seidman AD, Zauderer MG, Epstein AS, Kris MG. “A Tool, Not a Crutch”: Patient Perspectives About IBM Watson for Oncology Trained by Memorial Sloan Kettering. Journal of Oncology Practice 2019;15(4):e277
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. Online clinical decision support: how it is used at the point-of-care. BMJ Simulation and Technology Enhanced Learning 2017;3(2):73
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Chib A, Lin SH. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909
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Akkawi ME, Nik Mohamed MH, Md Aris MA. The impact of a multifaceted intervention to reduce potentially inappropriate prescribing among discharged older adults: a before-and-after study. Journal of Pharmaceutical Policy and Practice 2020;13(1)
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Pyörälä E, Mäenpää S, Heinonen L, Folger D, Masalin T, Hervonen H. The art of note taking with mobile devices in medical education. BMC Medical Education 2019;19(1)
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. Decision support technology. Practice Management 2017;27(8):32
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Zamora A, Carrion C, Aymerich M, Castells X, Blanco L, Martin-Urda A, Paluzie G, Capella D, Elosua R, Group V. Evaluation of a Clinical Decision Support System for Dyslipidemia Treatment (HTE-DLPR) by QoE questionnaire. International Journal of Cardiovascular Practice 2017;2(1):10
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Wickström H, Tuvesson H, Öien R, Midlöv P, Fagerström C. Health Care Staff’s Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study. JMIR Human Factors 2020;7(4):e23188
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Kerns E, McCulloh R, Fouquet S, McDaniel C, Ken L, Liu P, Kaiser S. Utilization and effects of mobile electronic clinical decision support on pediatric asthma care quality in the emergency department and inpatient setting. JAMIA Open 2021;4(2)
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Folger D, Merenmies J, Sjöberg L, Pyörälä E. Hurdles for adopting mobile learning devices at the outset of clinical courses. BMC Medical Education 2021;21(1)
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Rosen RK, Garbern SC, Gainey M, Lantini R, Nasrin S, Nelson EJ, Elshabassi N, Alam NH, Sultana S, Hasnin T, Qu K, Schmid CH, Levine AC. Designing a Novel Clinician Decision Support Tool for the Management of Acute Diarrhea in Bangladesh: Formative Qualitative Study. JMIR Human Factors 2022;9(1):e33325
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Kim HM, Xu Y, Wang Y. Overcoming the Mental Health Stigma Through m-Health Apps: Results from the Healthy Minds Study. Telemedicine and e-Health 2022;28(10):1534
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Miller K, Rosenberg J, Pickard O, Hawrusik R, Karlage A, Weintraub R. Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study. JMIR Formative Research 2022;6(5):e30320
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. Contemporary learning techniques for healthcare professionals: A narrative review. Frontiers in Education 2022;7
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Blagden S, Carson C, Underhill J, Desai M. A qualitative exploration of digital medicines information usage: Insights from an evaluation of the BNF. Health Policy and Technology 2022;11(3):100653
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Bulzacchelli MT, Bellantoni JM, McCue L, Dzugan J. The Receptivity to Safety-Related Mobile Apps Among Commercial Fishing Captains: Descriptive Exploratory Study. JMIR Formative Research 2022;6(11):e33638
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Ackerhans S, Huynh T, Kaiser C, Schultz C. Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review. Implementation Science 2024;19(1)
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4388):
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Moses JC, Adibi S. The Science behind the COVID Pandemic and Healthcare Technology Solutions. 2022. Chapter 31:657
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