Abstract
In 1985 we developed a method of automatically extracting indices of severity of illness and intensity of interventions from CIS charts daily. These indices, when combined with outcome measures such as length of stay and mortality, provide a powerful new tool for quality management in the ICU. In this paper we describe our ICU's severity adjusted survival rates as compared to internationally publish norms. In addition we provide a detailed analysis of glucose levels in our ICU, which suggests that glucose control in surgical ICU patients is more closely related to measured severity of illness than administration of intravenous alimentation per se. CIS extracted indices provide a new basis for continuous quality measurement and improvement in the ICU.
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Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Laffel G., Blumenthal D. The case for using industrial quality management science in health care organizations. JAMA. 1989 Nov 24;262(20):2869–2873. [PubMed] [Google Scholar]
- Leyerle B. J., LoBue M., Shabot M. Integrated computerized databases for medical data management beyond the bedside. Int J Clin Monit Comput. 1990 Apr;7(2):83–89. doi: 10.1007/BF01724200. [DOI] [PubMed] [Google Scholar]
- Shabot M. M., Leyerle B. J., LoBue M. Automatic extraction of intensity-intervention scores from a computerized surgical intensive care unit flowsheet. Am J Surg. 1987 Jul;154(1):72–78. doi: 10.1016/0002-9610(87)90293-5. [DOI] [PubMed] [Google Scholar]