Literature DB >> 25870169

Development of a novel imaging informatics-based system with an intelligent workflow engine (IWEIS) to support imaging-based clinical trials.

Ximing Wang1, Brent J Liu2, Clarisa Martinez3, Xuejun Zhang4, Carolee J Winstein3.   

Abstract

Imaging based clinical trials can benefit from a solution to efficiently collect, analyze, and distribute multimedia data at various stages within the workflow. Currently, the data management needs of these trials are typically addressed with custom-built systems. However, software development of the custom-built systems for versatile workflows can be resource-consuming. To address these challenges, we present a system with a workflow engine for imaging based clinical trials. The system enables a project coordinator to build a data collection and management system specifically related to study protocol workflow without programming. Web Access to DICOM Objects (WADO) module with novel features is integrated to further facilitate imaging related study. The system was initially evaluated by an imaging based rehabilitation clinical trial. The evaluation shows that the cost of the development of system can be much reduced compared to the custom-built system. By providing a solution to customize a system and automate the workflow, the system will save on development time and reduce errors especially for imaging clinical trials.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Imaging informatics system; Imaging-based clinical trials; System framework; Workflow engine

Mesh:

Year:  2015        PMID: 25870169      PMCID: PMC4586295          DOI: 10.1016/j.compbiomed.2015.03.024

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  7 in total

1.  Improving clinical communication: a view from psychology.

Authors:  J Parker; E Coiera
Journal:  J Am Med Inform Assoc       Date:  2000 Sep-Oct       Impact factor: 4.497

2.  The Extensible Neuroimaging Archive Toolkit: an informatics platform for managing, exploring, and sharing neuroimaging data.

Authors:  Daniel S Marcus; Timothy R Olsen; Mohana Ramaratnam; Randy L Buckner
Journal:  Neuroinformatics       Date:  2007

3.  Comparison of paper-based and electronic data collection process in clinical trials: costs simulation study.

Authors:  Ivan Pavlović; Tomaz Kern; Damijan Miklavcic
Journal:  Contemp Clin Trials       Date:  2009-04-02       Impact factor: 2.226

4.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

5.  Arterial territories of the human brain: cerebral hemispheres.

Authors:  L Tatu; T Moulin; J Bogousslavsky; H Duvernoy
Journal:  Neurology       Date:  1998-06       Impact factor: 9.910

6.  Implementation of workflow engine technology to deliver basic clinical decision support functionality.

Authors:  Vojtech Huser; Luke V Rasmussen; Ryan Oberg; Justin B Starren
Journal:  BMC Med Res Methodol       Date:  2011-04-10       Impact factor: 4.615

7.  Imaging in clinical trials.

Authors:  Bradley J Erickson; Jan C Buckner
Journal:  Cancer Inform       Date:  2007-05-12
  7 in total
  2 in total

1.  A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging.

Authors:  Daniel Haak; Charles-E Page; Thomas M Deserno
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

2.  Stroke Lesions in a Large Upper Limb Rehabilitation Trial Cohort Rarely Match Lesions in Common Preclinical Models.

Authors:  Matthew A Edwardson; Ximing Wang; Brent Liu; Li Ding; Christianne J Lane; Caron Park; Monica A Nelsen; Theresa A Jones; Steven L Wolf; Carolee J Winstein; Alexander W Dromerick
Journal:  Neurorehabil Neural Repair       Date:  2017-01-01       Impact factor: 3.919

  2 in total

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