Partitioning knowledge bases between advanced notification and clinical decision support systems

  • Authors:
  • Yves A. Lussier;Rose Williams;Jianrong Li;Srikant Jalan;Tara Borlawsky;Edie Stern;Inderpal Kohli

  • Affiliations:
  • Department of Biomedical Informatics, Columbia University, New York, NY, USA and Department of Medicine, Columbia University, New York, NY, USA;IBM Thomas J. Watson Research Center, Hawthorne, NY, USA;Department of Biomedical Informatics, Columbia University, New York, NY, USA;IBM Thomas J. Watson Research Center, Hawthorne, NY, USA;Department of Biomedical Informatics, Columbia University, New York, NY, USA;IBM Thomas J. Watson Research Center, Hawthorne, NY, USA;Department of Biomedical Informatics, Columbia University, New York, NY, USA

  • Venue:
  • Decision Support Systems
  • Year:
  • 2007

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Abstract

Clinical decision support system (CDSS) and their logic syntax include the coding of notifications (e.g., Arden Syntax). The following paper will describe the rationale for segregating policies, user preferences and clinical monitoring rules into ''advanced notification'' and'' clinical'' components, which together form a novel and complex CDSS. Notification rules and hospital policies are respectively abstracted from care-provider roles and alerting mechanisms. User-defined preferences determine which devices are to be used for receiving notifications. Our design differs from previous notification systems because it integrates a versatile notification platform supporting a wide range of mobile devices with a XML/HL-7 compliant communication protocol.