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Coupling Wearable Devices and Decision Theory in the United States Emergency Department Triage Process: A Narrative Review

Author

Listed:
  • Valentina Nino

    (Mechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA)

  • David Claudio

    (Mechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA)

  • Christie Schiel

    (Mechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA)

  • Brendan Bellows

    (Mechanical & Industrial Engineering Department, Montana State University, Bozeman, MT 59715 USA)

Abstract

This research was motivated by the nurses’ decision-making process in the current emergency department (ED) triage process in the United States. It explores how continuous vital signs monitoring can be integrated into the ED. The article presents four shortcomings on current ED triage systems and proposes a new conceptual clinical decision support model that exploits the benefits of combining wireless wearable devices with Multi-Attribute Utility Theory to address those shortcomings. A literature review was conducted using various engineering and medical research databases, analyzing current practices and identifying potential improvement opportunities. The results from the literature review show that advancements in wireless wearable devices provide opportunities to enhance current ED processes by monitoring patients while they wait after triage and, therefore, reduce the risk of an adverse event. A dynamic mathematical decision support model to prioritize patients is presented, creating a feedback loop in the ED. The coupling of wearable devices (to collect data) with decision theory (to synthesize and organize the information) can assist in reducing sources of uncertainty inherent to ED systems. The authors also address the feasibility of the proposed conceptual model.

Suggested Citation

  • Valentina Nino & David Claudio & Christie Schiel & Brendan Bellows, 2020. "Coupling Wearable Devices and Decision Theory in the United States Emergency Department Triage Process: A Narrative Review," IJERPH, MDPI, vol. 17(24), pages 1-23, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9561-:d:465567
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    References listed on IDEAS

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    1. Antonio Baldassarre & Nicola Mucci & Luigi Isaia Lecca & Emanuela Tomasini & Maria Julia Parcias-do-Rosario & Carolina Tauil Pereira & Giulio Arcangeli & Paulo Antonio Barros Oliveira, 2020. "Biosensors in Occupational Safety and Health Management: A Narrative Review," IJERPH, MDPI, vol. 17(7), pages 1-10, April.
    2. Kimberly D Johnson & Lindsey Mueller & Chris Winkelman, 2017. "The nurse response to abnormal vital sign recording in the emergency department," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(1-2), pages 148-156, January.
    3. Ryynänen, Olli-Pekka & Myllykangas, Markku & Kinnunen, Juha & Takala, Jorma, 1999. "Attitudes to health care prioritisation methods and criteria among nurses, doctors, politicians and the general public," Social Science & Medicine, Elsevier, vol. 49(11), pages 1529-1539, December.
    4. Rajiv Kohli & Frank Piontek, 2008. "DSS in Healthcare: Advances and Opportunities," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 59, pages 483-497, Springer.
    5. Keeney,Ralph L. & Raiffa,Howard, 1993. "Decisions with Multiple Objectives," Cambridge Books, Cambridge University Press, number 9780521438834, September.
    6. Maria Angelica Velazquez & David Claudio & A. Ravi Ravindran, 2010. "Experiments in multiple criteria selection problems with multiple decision makers," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 7(4), pages 413-428.
    7. Corner, J. L. & Buchanan, J. T., 1997. "Capturing decision maker preference: Experimental comparison of decision analysis and MCDM techniques," European Journal of Operational Research, Elsevier, vol. 98(1), pages 85-97, April.
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