Biomedical Data Mining in Clinical Routine: Expanding the Impact of Hospital Information Systems.

Autor: Kuhn, Klaus A., Warren, James R., Leong, Tze-Yun, Müller, Marcel, Markó, Kornel, Daumke, Philipp, Paetzold, Jan, Roesner, Arnold, Klar, Rüdiger
Zdroj: Studies in Health Technology & Informatics; Jul2007, Vol. 129, p340-344, 5p, 2 Color Photographs, 2 Diagrams, 1 Chart
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index