• DocumentCode
    3717478
  • Title

    Patient-like-mine: A real time, visual analytics tool for clinical decision support

  • Author

    Peter Li;Simon N. Yates;Jenna K. Lovely;David W. Larson

  • Author_Institution
    Department of Surgery, Mayo Clinic, Rochester, MN USA
  • fYear
    2015
  • Firstpage
    2865
  • Lastpage
    2867
  • Abstract
    We developed a real-time, visual analytics tool for clinical decision support. The system expands the "recall of past experience" approach that a provider (physician) uses to formulate a course of action for a given patient. By utilizing Big-Data techniques, we enable the provider to recall all similar patients from an institution´s electronic medical record (EMR) repository, to explore "what-if" scenarios, and to collect these evidence-based cohorts for future statistical validation and pattern mining.
  • Keywords
    "Cloud computing","Cryptography","Real-time systems","Visual analytics","Surgery","Firewalls (computing)"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7364104
  • Filename
    7364104