title: Biomedical data mining in clinical routine: expanding the impact of hospital information systems.
abstract: In this paper we want to describe how the promising technology of biomedical data mining can improve the use of hospital information systems: a large set of unstructured, narrative clinical data from a dermatological university hospital like discharge letters or other dermatological reports were processed through a morpho-semantic text retrieval engine ("MorphoSaurus") and integrated with other clinical data using a web-based interface and brought into daily clinical routine. The user evaluation showed a very high user acceptance - this system seems to meet the clinicians' requirements for a vertical data mining in the electronic patient records. What emerges is the need for integration of biomedical data mining into hospital information systems for clinical, scientific, educational and economic reasons.
authors.affiliation: Department of Dermatology, University Medical Center Freiburg, Germany. marcel.mueller@uniklinik-freiburg.de
authors.forename: Marcel
authors.initials: M
authors.lastname: Müller
authors.forename: Kornel
authors.initials: K
authors.lastname: Markó
authors.forename: Philipp
authors.initials: P
authors.lastname: Daumke
authors.forename: Jan
authors.initials: J
authors.lastname: Paetzold
authors.forename: Arnold
authors.initials: A
authors.lastname: Roesner
authors.forename: Rüdiger
authors.initials: R
authors.lastname: Klar
mesh_terms: D000043:Abstracting and Indexing; D001291:Attitude of Health Personnel; D003258:Consumer Behavior; D003880:Dermatology; D006751:Hospital Information Systems; D006801:Humans; D016247:Information Storage and Retrieval; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D014584:User-Computer Interface