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Section 1 - Design and Simulation

Published online by Cambridge University Press:  27 July 2023

Sally E. Rampersad
Affiliation:
University of Washington School of Medicine, Seattle
Cindy B. Katz
Affiliation:
Seattle Children’s Hospital, Washington
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Publisher: Cambridge University Press
Print publication year: 2023

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References

References

Owen, H. Simulation in Healthcare Education: An Extensive History. Switzerland, Springer International Publishing, 2016.CrossRefGoogle Scholar
Herzer, KR, Rodriguez-Paz, JM, Doyle, PA, et al. A practical framework for patient care teams to prospectively identify and mitigate clinical hazards. Joint Commission Journal on Quality and Patient Safety. 2009;35(2):7281.CrossRefGoogle Scholar
Fent, G, Blythe, J, Farooq, O, et al. In situ simulation as a tool for patient safety: A systematic review identifying how it is used and its effectiveness. BMJ Simulation & Technology Enhanced Learning. 2015;1(3):103110.CrossRefGoogle Scholar
Alfredsdottir, H and Bjornsdottir, K. Nursing and patient safety in the operating room. Journal of Advanced Nursing. 2008;61(1):2937.Google Scholar
Riley, W, Davis, S, Miller, KM, et al. Detecting breaches in defensive barriers using in situ simulation for obstetric emergencies. Quality & Safety in Health Care. 2010;19(suppl 3):i53–i56.CrossRefGoogle Scholar
Wetzel, EA, Land, TR, Pendergrass, TL, et al. Identification of latent safety threats using high-fidelity simulation-based training with multidisciplinary neonatology teams. Joint Commission Journal on Quality and Patient Safety. 2013;39(6):268273.CrossRefGoogle Scholar
Huang, GC, Smith, CC, Gordon, CE, et al. Beyond the comfort zone: Residents assess their comfort performing inpatient medical procedures. American Journal of Medicine. 2006;119(1):71.e17–71.e24.CrossRefGoogle Scholar
Deering, S, Poggi, S, Macedonia, C, et al. Improving resident competency in the management of shoulder dystocia with simulation training. Obstetrics & Gynecology. 2004;103(6):12241228.CrossRefGoogle Scholar
Draycott, TJ, Crofts, JF, Ash, JP, et al. Improving neonatal outcome through practical shoulder dystocia training. Obstetrics & Gynecology. 2008;112(1):1420.Google Scholar
Evans, LV, Dodge, KL, Shah, TD, et al. Simulation training in central venous catheter insertion: Improved performance in clinical practice. Academic Medicine. 2010;85(9):14621469.Google Scholar
Britt, RC, Novosel, TJ, Britt, LD, et al. The impact of central line simulation before the ICU experience. American Journal of Surgery. 2009;197(4):533536.CrossRefGoogle Scholar
Zendejas, B, Cook, DA, Bingener, J, et al. Simulation-based mastery learning improves patient outcomes in laparoscopic inguinal hernia repair: A randomized controlled trial. Annals of Surgery. 2011;254(3):502511.Google Scholar
Oriol, MD. Crew resource management: Applications in healthcare organizations. Journal of Nursing Administration. 2006;36(9):402406.CrossRefGoogle Scholar
Helmreich, RL, Merritt, AC, Wilhelm, JA. The evolution of Crew Resource Management in training in commercial aviation. International Journal of Aviation Psychology. 1999;9(1):1932.CrossRefGoogle Scholar
Andreatta, P, Saxton, E, Thompson, M, et al. Simulation-based mock codes significantly correlate with improved pediatric patient cardiopulmonary arrest survival rates. Pediatric Critical Care Medicine. 2011;12(1):3338.CrossRefGoogle Scholar
Knight, LJ, Gabhart, JM, Earnest, KS, et al. Improving code team performance and survival outcomes: Implementation of pediatric resuscitation team training. Critical Care Medicine. 2014;42(2):243251.Google Scholar
Riley, W, Davis, S, Miller, K, et al. Didactic and simulation nontechnical skills team training to improve perinatal patient outcomes in a community hospital. Joint Commission Journal on Quality and Patient Safety. 2011;37(8):357364.Google Scholar

References

Proctor, RW and Van Zandt, T. Human Factors in Simple and Complex Systems, 2nd ed., Boca Raton, Taylor & Francis Group, 2008.Google Scholar
Salas, E, Jentsch, F, and Maurino, D, eds. Human Factors in Aviation, 2nd ed., Burlington, Academic Press, 2010.CrossRefGoogle Scholar
Kosslyn, SM. Aspects of a cognitive neuroscience of mental imagery. Science. 1988;240:16211626.CrossRefGoogle Scholar
Lidwell, W, Holden, K, and Butler, J. Universal Principles of Design. Beverly, Rockport, 2010.Google Scholar
Leveson, NG and Turner, CS. An investigation of the Therac-25 accidents. IEEE Computer. 1993;26:1841.CrossRefGoogle Scholar
Norman, DA. The Design of Everyday Things: Revised and Expanded Edition. New York, Basic Books, 2013.Google Scholar
Guastello, SJ. Human Factors Engineering and Ergonomics: A Systems approach. 2nd ed., Boca Raton, Taylor & Francis, 2014.Google Scholar
Gibson, JJ. The Ecological Approach to Visual Perception. Hillsdalen, Lawrence Erlbaum Associates Inc., 1986.Google Scholar
Gallo, C. The Innovation Secrets of Steve Jobs: Insanely Different Principles for Breakthrough Success. New York, McGraw-Hill, 2011.Google Scholar
Norman, DA. Emotional Design: Why We Love (or Hate) Everyday Things. New York, Basic Books, 2004.Google Scholar
Reason, J. Human Error. Cambridge, Cambridge University Press, 1990.CrossRefGoogle Scholar
Paries, J, Wreathall, J, and Hollnagel, E, eds., Resilience Engineering in Practice: A Guidebook. Boca Raton, Taylor & Francis, 2011.Google Scholar
Tsuda, Y. Implications of foolproofing in the manufacturing process. Quality through Engineering Design. Kuo, W., ed., New York, Elsevier, 1993.Google Scholar
Degani, A, Wiener, EL. On the design of flight deck procedures. NASA Ames Research Center. NASA Contractor Report 177642, 1994.Google Scholar
Klein, G, Moon, B, and Hoffman, RF. Making sense of sensemaking I: Alternative perspectives. IEEE Intelligent Systems. 2006a;21:7073.CrossRefGoogle Scholar
Klein, G, Moon, B, and Hoffman, RF. Making sense of sensemaking II: A macrocognitive model. IEEE Intelligent Systems. 2006b;21:8892.Google Scholar
Stonemetz, J and Ruskin, K, eds. Anesthesia Informatics. London, Springer-Veralong, 2008.Google Scholar
Drui, AB, Behm, RJ, and Martin, WE. Predesign investigation of the anesthesia operational environment. Anesthesia & Analgesia. 1973;52:584591.CrossRefGoogle Scholar
Martin, LD, Grigg, E, and Verma, S, et al. Outcomes of a failure mode and effects analysis for medication errors in pediatric anesthesia. Pediatric Anesthesia. 2017;27:571580.CrossRefGoogle Scholar
Miller, GA. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review. 1956;63:8197.Google Scholar
Treisman, A. Features and objects: The fourteenth Bartlett memorial lecture. The Quarterly Journal of Experimental Psychology. 1988;40A:201237.CrossRefGoogle Scholar
Grigg, E, Martin, L, Ross, F, et al. Assessing the impact of the anesthesia medication template on medication errors during anesthesia: A prospective study. Anesthesia & Analgesia. 2017;124:16171625.CrossRefGoogle Scholar
Hutchins, E. Cognition in the Wild. Cambridge, MA, MIT Press, 1995.Google Scholar
Zhang, J and Norman, DA. Representations in distributed cognitive tasks. Cognitive Science. 1994;18:87122.Google Scholar

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  • Design and Simulation
  • Edited by Sally E. Rampersad, University of Washington School of Medicine, Seattle, Cindy B. Katz, Seattle Children’s Hospital, Washington
  • Book: Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
  • Online publication: 27 July 2023
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  • Design and Simulation
  • Edited by Sally E. Rampersad, University of Washington School of Medicine, Seattle, Cindy B. Katz, Seattle Children’s Hospital, Washington
  • Book: Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
  • Online publication: 27 July 2023
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Design and Simulation
  • Edited by Sally E. Rampersad, University of Washington School of Medicine, Seattle, Cindy B. Katz, Seattle Children’s Hospital, Washington
  • Book: Patient Safety and Quality Improvement in Anesthesiology and Perioperative Medicine
  • Online publication: 27 July 2023
Available formats
×