Literature DB >> 17911735

Biomedical data mining in clinical routine: expanding the impact of hospital information systems.

Marcel Müller1, Kornel Markó, Philipp Daumke, Jan Paetzold, Arnold Roesner, Rüdiger Klar.   

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.

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Year:  2007        PMID: 17911735

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Evaluation of a document search engine in a clinical department system.

Authors:  Stefan Schulz; Philipp Daumke; Pascal Fischer; Marcel Müller; Marcel Lucas Müller
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06
  1 in total

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