title: Using questions and interests to guide data mining for medical quality management.
abstract: The healthcare sector is currently facing both the economic necessity and the technical opportunity of a data based approach to quality management. Against this background, a process model for such a data based medical quality management is proposed and intelligent data mining methods are applied to patient data. Intelligent data mining incorporates advantages of both knowledge acquisition from data and from experts. A controlled language for business questions is presented which abstracts from database and data mining terminology to allow high-level interaction. Objective and subjective interestingness of results is measured and used to filter and sort.
authors.affiliation: Bavarian Research Center for Knowledge-Based Systems, Erlangen, Germany.
authors.forename: O J
authors.initials: OJ
authors.lastname: Hogl
authors.forename: M
authors.initials: M
authors.lastname: Müller
authors.forename: H
authors.initials: H
authors.lastname: Stoyan
authors.forename: W
authors.initials: W
authors.lastname: Stühlinger
mesh_terms: D001185:Artificial Intelligence; D003628:Database Management Systems; D005260:Female; D005858:Germany; D006801:Humans; D016247:Information Storage and Retrieval; D008297:Male; D017749:Total Quality Management; D018875:Vocabulary, Controlled