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Evaluating the Impact of Smartphones on Nursing Workflow: Lessons Learned
Kathlyn Baharaeen1, Eryn M Godwin, Tiffany A Mullen
1Kathlyn Baharaeen is a quality improvement project manager at Children's Mercy Kansas City in Kansas City, MO, where Eryn M. Godwin is a human factors research assistant and Tiffany A. Mullen is a pediatric clinical nurse specialist. At the time this research was conducted, McKenzie Hamacher was a PICU RN at Children's Mercy Kansas City; she is currently a family NP at Jefferson City Medical Group in Jefferson City, MO. Sarah Fouquet is director of the Human Factors Collaborative Program at Children's Mercy Kansas City and a research assistant professor in the Department of Biomedical and Health Informatics, School of Medicine, University of Missouri-Kansas City. Contact author: Kathlyn Baharaeen, kbaharaeen@cmh.edu . The authors have disclosed no potential conflicts of interest, financial or otherwise. A podcast with the authors is available at www.ajnonline.com .
Abstract:
Although smartphone use in the workplace by physicians has been well documented, such use by nurses warrants further examination. In particular, there is a lack of research regarding the effects of smartphone use on nursing efficiency and workflow satisfaction. Our organization developed a pilot program to introduce the use of hospital-issued smartphones by direct care nurses in the pediatric ICU (PICU) and a satellite ED and created an implementation team to carry this out. Our research team thought it important to measure and evaluate nursing efficiency and workflow both before and after these phones were issued. The original plan included three primary measures: pre- and postimplementation surveys (both units), time-on-task studies (both units), and interruption observations (PICU only). Because of technical difficulties, the PICU pilot arm was abandoned after the smartphones were introduced. The ED arm completed the postimplementation time-on-task studies and the postimplementation survey nine months after implementation. The postimplementation survey results showed that nurses preferred other methods of communication over smartphones, and smartphones were scored lower than all other forms of communication for ease of integration into the workflow. Time-on-task results indicated texting was faster with smartphones than it was when using T9 texting (predictive texting) with the wireless Ascom phones in the PICU. Making calls with the smartphone took ED nurses significantly longer, and many preferred their traditional communication methods. Further research is needed to determine whether smartphones can be optimized to enhance nursing workflow, increase efficiency, and improve patient outcomes. This article provides vital information for nurses and others considering a transition to the use of smartphones or similar devices in the workplace.
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