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Estimating maximum patient throughput at an ED scanner: Is three patients per hour the magic number?

Published:October 10, 2020DOI:https://doi.org/10.1016/j.ajem.2020.10.012

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      References

        • Abujudeh H.
        • Vuong B.
        • Baker S.R.
        Quality and operations of portable X-ray examination procedures in the emergency room: queuing theory at work.
        Emerg Radiol. 2005; 11: 262-266https://doi.org/10.1007/s10140-005-0405-4
        • Rogg J.G.
        • Huckman R.
        • Lev M.
        • Raja A.
        • Chang Y.
        • White B.A.
        Describing wait time bottlenecks for ED patients undergoing head CT.
        Am J Emerg Med. 2017; 35: 1510-1513https://doi.org/10.1016/j.ajem.2017.04.059
        • Dang W.
        • Kielar A.Z.
        • Fu A.Y.
        • Chong S.T.
        • McInnes M.D.
        Does distance matter? Effect of having a dedicated CT scanner in the emergency department on completion of CT imaging and final patient disposition times.
        J Am Coll Radiol. 2015; 12: 277-283https://doi.org/10.1016/j.jacr.2014.11.003
        • Humphries R.
        • Russell P.M.
        • Pennington R.J.
        • Colwell K.D.
        utilizing lean management techniques to improve emergency department radiology CT turnaround times.
        Ann Emerg Med. 2011; 58: S248
        • Jain S.
        • Frank G.
        • McCormick K.
        • Wu B.
        • Johnson B.A.
        Impact of physician scorecards on emergency department resource use, quality, and efficiency.
        Pediatrics. 2015; 136: e670-e679https://doi.org/10.1542/peds.2014-2363
        • Kelleher Jr., M.S.
        • Keller J.
        • Blanchette S.
        • Rolen M.F.
        • Bokhari S.A.
        The implementation and impact of a quality improvement program in emergency radiology.
        J Am Coll Radiol. 2016; 13: 878-880https://doi.org/10.1016/j.jacr.2015.11.021
        • Rigual D.
        • Rove M.
        • Robison Z.
        • et al.
        Emergency department CT expediency: A time reduction by redesign.
        J Am Coll Radiol. 2016; 13: 178-181https://doi.org/10.1016/j.jacr.2015.08.006
        • Klein D.
        • Khan V.
        Utilizing six sigma lean strategies to expedite emergency department CT scan throughput in a tertiary care facility.
        J Am Coll Radiol. 2017; 14: 78-81https://doi.org/10.1016/j.jacr.2016.06.032
        • Casalino E.
        • Wargon M.
        • Peroziello A.
        • et al.
        Predictive factors for longer length of stay in an emergency department: a prospective multicentre study evaluating the impact of age, patient’s clinical acuity and complexity, and care pathways.
        Emerg Med J. 2014; 31: 361-368https://doi.org/10.1136/emermed-2012-202155
        • van Lent W.A.
        • Deetman J.W.
        • Teertstra H.J.
        • Muller S.H.
        • Hans E.W.
        • van Harten W.H.
        Reducing the throughput time of the diagnostic track involving CT scanning with computer simulation.
        Eur J Radiol. 2012; 81: 3131-3140https://doi.org/10.1016/j.ejrad.2012.03.012
        • Ramakrishnan S.
        • Nagarkar K.
        • DeGennaro M.
        • Srihari M.
        • Courtney A.K.
        • Emick F.
        A study of the CT scan area of a healthcare provider.
        in: Proceedings of the 2004 Winter Simulation Conference, 2004. 2004 Dec 5. 2. IEEE, 2020: 2025-2031
        • Lopetegui M.
        • Yen P.Y.
        • Lai A.
        • Jeffries J.
        • Embi P.
        • Payne P.
        Time motion studies in healthcare: what are we talking about?.
        J Biomed Inform. 2014; 49: 292-299https://doi.org/10.1016/j.jbi.2014.02.017
        • Lipsky L.
        M/M/1 Queue. Queueing Theory: A Linear Algebraic Approach.
        Springer Science & Business Media, 2008 (Dec 17)
        • Gross D.
        • Shortie J.F.
        • Thompson J.M.
        • Harris C.M.
        Simple Markovian Queueing Models. Fundamentals of Queueing Theory.
        25. 2008 Jul: 49-115
        • Joseph J.W.
        Queuing theory and modeling emergency department resource utilization.
        Emerg Med Clin North Am. 2020; 38: 563-572https://doi.org/10.1016/j.emc.2020.04.006