• DocumentCode
    3290972
  • Title

    MindFlow: Intelligent Workflow for Clinical Trials in Mental Healthcare

  • Author

    Lee, Yugyung ; Jana, Saurav ; Mylavarapu, Teja ; Dinakarpandian, Deendayal ; Owens, Dennis

  • fYear
    2012
  • fDate
    4-7 Jan. 2012
  • Firstpage
    2779
  • Lastpage
    2788
  • Abstract
    The recruitment of human subjects for clinical trial research is an imperative step in the discovery of new cures for diseases. However, the current major recruitment methodologies are inherently inefficient. Intelligent workflow management has great potential for improving the clinical trial recruitment process and overcome some of the limitations. In this paper, we present an intelligent workflow system for clinical trials, called MindFlow as an alternative to the traditional workflow model for clinical trials. With an increasing capacity of analysis of clinical trial processes, this model can enhance the efficiency and quality of recruitment of patients with psychiatric disorders for clinical research. The MindFlow system is based on data mining approaches, ontology and visualization technologies. The MindFlow system offers a simulation of clinical trials workflow based on published outcomes and analysis/prediction with data mining and visualization of the processes involved. We believe that the system particularly valuable in enhancing recruitment for clinical trial studies for development of new drugs.
  • Keywords
    data mining; data visualisation; drugs; health care; medical disorders; ontologies (artificial intelligence); psychology; recruitment; workflow management software; MindFlow system; clinical research; clinical trial processes; clinical trial recruitment process; clinical trial research; clinical trial study; clinical trials workflow; data mining approaches; disease cure; drug development; human subjects recruitment; intelligent workflow management; intelligent workflow system; mental healthcare; ontology; patient recruitment; psychiatric disorders; recruitment methodology; visualization technology; workflow model; Artificial intelligence; Clinical trials; Communities; Data mining; Diseases; Recruitment; Data Mining; Health Care; Message System; Ontology; Workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science (HICSS), 2012 45th Hawaii International Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4577-1925-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2012.430
  • Filename
    6149164