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The quality movement in hospital care

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  • Jeffrey Jarrett

Abstract

The purpose is to introduce the demand for the quality movement practice in hospital care. We show both the need and application of quality monitoring, especially the need monitoring activities having auto correlated data flows of which there are many in the hospital environment. The goal is to control the flow of quality care data in the dynamic behavior of these systems of acre in hospitals. These monitoring systems are designed to control and improve changes in the hospital care environment. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Jeffrey Jarrett, 2014. "The quality movement in hospital care," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3153-3167, November.
  • Handle: RePEc:spr:qualqt:v:48:y:2014:i:6:p:3153-3167
    DOI: 10.1007/s11135-013-9947-9
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    References listed on IDEAS

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    1. Yang, S.F. & Rahim, M.A., 2005. "Economic statistical process control for multivariate quality characteristics under Weibull shock model," International Journal of Production Economics, Elsevier, vol. 98(2), pages 215-226, November.
    2. Lee, Hau L. & Whang, Seungjin, 2003. "Higher Supply Chain Security with Lower Cost: Lessons from Total Quality Management," Research Papers 1824, Stanford University, Graduate School of Business.
    3. Christian Sonesson & David Bock, 2003. "A review and discussion of prospective statistical surveillance in public health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(1), pages 5-21, February.
    4. Jeffrey E. Jarrett & Xia Pan, 2007. "Monitoring Variability and Analyzing Multivariate Autocorrelated Processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(4), pages 459-469.
    5. Pan, Xia & Jarrett, Jeffrey, 2007. "Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation," International Journal of Production Economics, Elsevier, vol. 106(1), pages 204-216, March.
    6. Xia Pan & Jeffrey Jarrett, 2004. "Applying State Space to SPC: Monitoring Multivariate Time Series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(4), pages 397-418.
    7. Jarrett, Jeffrey E. & Pan, Xia, 2007. "The quality control chart for monitoring multivariate autocorrelated processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3862-3870, May.
    8. Cui-hua Zhang & Hai-bin Yu & Xiao-yuan Huang, 2009. "Quality control strategy in supply chain under asymmetric information," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 4(1), pages 97-116.
    9. Elsayed A. Elsayed & Hao Zhang, 2007. "Design Of Optimum Simple Step-Stress Accelerated Life Testing Plans," World Scientific Book Chapters, in: Tadashi Dohi & Shunji Osaki & Katsushige Sawaki (ed.), Recent Advances In Stochastic Operations Research, chapter 2, pages 23-38, World Scientific Publishing Co. Pte. Ltd..
    10. A. A. Kalgonda & S. R. Kulkarni, 2004. "Multivariate Quality Control Chart for Autocorrelated Processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(3), pages 317-327.
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