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
Link To Document :
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