Literature DB >> 8254228

Monitoring intensive care unit performance using statistical quality control charts.

W H Chamberlin1, K A Lane, J N Kennedy, S D Bradley, C L Rice.   

Abstract

This paper discusses results of a study in which mortality rates and APACHE II severity of illness scores of Intensive Care Unit (ICU) patients were monitored for a five-year period (1986-1990) using statistical quality control charts. The purpose of the study was to determine whether severity of illness of patients and mortality rates had changed significantly over this time horizon. The results show that the Intensive Care Unit process is stable and in statistical control. There is no apparent trend in the severity of illness scores nor mortality rates measured both at ten days and six months from the last ICU admission. Quality control charts, which have been used extensively to detect changes in industrial processes on a short term basis, provide a simple method of monitoring the ICU process over an extended time horizon.

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Year:  1993        PMID: 8254228     DOI: 10.1007/bf01246449

Source DB:  PubMed          Journal:  Int J Clin Monit Comput        ISSN: 0167-9945


  3 in total

Review 1.  Statistical process control methods for expert system performance monitoring.

Authors:  M G Kahn; T C Bailey; S A Steib; V J Fraser; W C Dunagan
Journal:  J Am Med Inform Assoc       Date:  1996 Jul-Aug       Impact factor: 4.497

2.  Using statistical quality control techniques to monitor blood glucose levels.

Authors:  T A Oniki; T P Clemmer; L K Arthur; L H Linford
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

3.  Process monitoring in intensive care with the use of cumulative expected minus observed mortality and risk-adjusted P charts.

Authors:  Jerome G L Cockings; David A Cook; Rehana K Iqbal
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

  3 in total

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