Published on 21.06.16 in Vol 3, No 1 (2016): Jan-Jun
Works citing "Usability Testing and Adaptation of the Pediatric Cardiovascular Risk Reduction Clinical Decision Support Tool"
According to Crossref, the following articles are citing this article (DOI 10.2196/humanfactors.5440):
(note that this is only a small subset of citations)
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Chaudhry AP, Samudrala S, Lopez-Jimenez F, Shellum JL, Nishimura RA, Chaudhry R, Liu H, Arruda-Olson AM. Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2019;3(1):23
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Furberg RD, Williams P, Bagwell J, LaBresh K. A Mobile Clinical Decision Support Tool for Pediatric Cardiovascular Risk-Reduction Clinical Practice Guidelines: Development and Description. JMIR mHealth and uHealth 2017;5(3):e29
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Lawani MA, Turgeon Y, Côté L, Légaré F, Witteman HO, Morin M, Kroger E, Voyer P, Rodriguez C, Giguere A. User-centered and theory-based design of a professional training program on shared decision-making with older adults living with neurocognitive disorders: a mixed-methods study. BMC Medical Informatics and Decision Making 2021;21(1)
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Jones EK, Hultman G, Schmoke K, Ninkovic I, Dodge S, Bahr M, Melton GB, Marquard J, Tignanelli CJ. Combined Expert and User-Driven Usability Assessment of Trauma Decision Support Systems Improves User-Centered Design. Surgery 2022;172(5):1537
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Nsubuga-Mugoa DJK, Williams DIA, Gaytan DJ. Successful Strategies for Using Knowledge Management in Small and Medium-Sized Enterprises. International Journal of Business and Management Research 2021;9(3):347
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Chowdhary K, Yu DX, Pramana G, Mesoros M, Fairman A, Dicianno BE, Parmanto B. User-Centered Design to Enhance mHealth Systems for Individuals With Dexterity Impairments: Accessibility and Usability Study. JMIR Human Factors 2022;9(1):e23794
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Alhasani R, George N, Radman D, Auger C, Ahmed S. Methodologies for Evaluating the Usability of Rehabilitation Technologies Aimed at Supporting Shared Decision-Making: Scoping Review. JMIR Rehabilitation and Assistive Technologies 2023;10:e41359
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