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Automation, interaction, complexity, and failure: A case study

Author

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  • Wears, Robert L.
  • Cook, Richard I.
  • Perry, Shawna J.

Abstract

Although proponents of advanced information technology argue that automation can improve the reliability of health care delivery, the results of introducing new technology into complex systems are mixed. The complexity of the health care workplace creates vulnerabilities and problems for system designers. In particular, some forms of failure emerge from the interactions of independently designed and implemented components. We present a case study of such an emergent, unforeseen failure and use it to illustrate some of the problems facing designers of applications in health care.

Suggested Citation

  • Wears, Robert L. & Cook, Richard I. & Perry, Shawna J., 2006. "Automation, interaction, complexity, and failure: A case study," Reliability Engineering and System Safety, Elsevier, vol. 91(12), pages 1494-1501.
    • Handle: RePEc:eee:reensy:v:91:y:2006:i:12:p:1494-1501
    DOI: 10.1016/j.ress.2006.01.009
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    Cited by:

    1. Ham, Dong-Han & Park, Jinkyun & Jung, Wondea, 2012. "Model-based identification and use of task complexity factors of human integrated systems," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 33-47.
    2. Nathan J. Slegers & Ronald T. Kadish & Gary E. Payton & John Thomas & Michael D. Griffin & Dan Dumbacher, 2012. "Learning from failure in systems engineering: A panel discussion," Systems Engineering, John Wiley & Sons, vol. 15(1), pages 74-82, March.
    3. Eugene Santos & Yan Zhao, 2017. "Automatic Emergence Detection in Complex Systems," Complexity, Hindawi, vol. 2017, pages 1-24, September.

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