• J. Am. Coll. Surg. · Aug 2008

    Validation of Surgical Intensive Care-Infection Registry: a medical informatics system for intensive care unit research, quality of care improvement, and daily patient care.

    • Joseph F Golob, Adam M A Fadlalla, Justin A Kan, Nilam P Patel, Charles J Yowler, and Jeffrey A Claridge.
    • Department of Surgery, MetroHealth Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH 44109-998, USA.
    • J. Am. Coll. Surg. 2008 Aug 1; 207 (2): 164-73.

    BackgroundWe developed a prototype electronic clinical information system called the Surgical Intensive Care-Infection Registry (SIC-IR) to prospectively study infectious complications and monitor quality of care improvement programs in the surgical and trauma intensive care unit. The objective of this study was to validate SIC-IR as a successful health information technology with an accurate clinical data repository.Study DesignUsing the DeLone and McLean Model of Information Systems Success as a framework, we evaluated SIC-IR in a 3-month prospective crossover study of physician use in one of our two surgical and trauma intensive care units (SIC-IR unit versus non SIC-IR unit). Three simultaneous research methodologies were used: a user survey study, a pair of time-motion studies, and an accuracy study of SIC-IR's clinical data repository.ResultsThe SIC-IR user survey results were positive for system reliability, graphic user interface, efficiency, and overall benefit to patient care. There was a significant decrease in prerounding time of nearly 4 minutes per patient on the SIC-IR unit compared with the non SIC-IR unit. The SIC-IR documentation and data archiving was accurate 74% to 100% of the time depending on the data entry method used. This accuracy was significantly improved compared with normal hand-written documentation on the non SIC-IR unit.ConclusionsSIC-IR proved to be a useful application both at individual user and organizational levels and will serve as an accurate tool to conduct prospective research and monitor quality of care improvement programs.

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