• DocumentCode
    1766971
  • Title

    A comprehensive framework design for continuous quality improvement within the neonatal intensive care unit: Integration of the SPOE, CRISP-DM and PaJMa models

  • Author

    Wenlan Huang ; McGregor, Carolyn ; James, Ashish

  • Author_Institution
    Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    Continuous quality improvement is an important component of contemporary health care. This paper proposes a comprehensive framework for quality improvement in health care that integrates the SPOE, CRISP-DM and PaJMa models to support clinician decision-making for the improvement of clinical process and outcomes. The framework is demonstrated using late onset neonatal sepsis as a case study where the quality improvement activity is the implementation of a clinical decision support system that processes and analyses multiple, high fidelity physiological data streams in real-time to support clinical decision-making.
  • Keywords
    decision making; decision support systems; health care; medical computing; medical disorders; paediatrics; patient care; CRISP-DM model; PaJMa model; SPOE model; clinical decision support system; clinical decision-making; clinical outcomes; clinical process; clinician decision-making; comprehensive framework design; contemporary health care; continuous quality improvement; high fidelity physiological data streams; late onset neonatal sepsis; neonatal intensive care unit; quality improvement activity; real-time analysis; Antibiotics; Data mining; Data models; Guidelines; Laboratories; Pediatrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/BHI.2014.6864360
  • Filename
    6864360