title: Inducing practice guidelines from a hospital database.
abstract: Improving health care quality requires the elimination of unnecessary variation in the care process. Decision support applications already exist that can foster adherence to standards. The challenge resides in developing standards consistent with good medical practice. In this paper we present our efforts in determining where sufficient clinical data are captured electronically to automatically define a care process, and what analyses can be done to identify additional data that would allow a care process to be defined. Data routinely collected by a hospital information system have been examined. The analysis tools utilized include logistic regression, a neural network, a Bayesian network, and a rule induction program.
authors.affiliation: Department of Medical Informatics, University of Utah, Salt Lake City, USA.
authors.forename: K C
authors.initials: KC
authors.lastname: Abston
authors.forename: T A
authors.initials: TA
authors.lastname: Pryor
authors.forename: P J
authors.initials: PJ
authors.lastname: Haug
authors.forename: J L
authors.initials: JL
authors.lastname: Anderson
mesh_terms: D001499:Bayes Theorem; D019992:Databases as Topic; D003661:Decision Support Techniques; D006751:Hospital Information Systems; D016247:Information Storage and Retrieval; D016015:Logistic Models; D016571:Neural Networks, Computer; D005791:Patient Care; D017410:Practice Guidelines as Topic; D012680:Sensitivity and Specificity