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AN ONTOLOGY-DRIVEN INTERFACE FOR COMPUTABLE MODELING OF CLINICAL TRIAL ELIGIBILITY CRITERIA

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2014, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Clinical trials play an important role in drug development and improving patient care. A common reason for clinical trials to fail is the insufficient number of subjects recruited in a reasonable time frame. Recent study demonstrated that electronic patient screening could improve the efficiency of clinical trial participant recruitment. Trial Prospector is a new screening system for matching patients with cancer clinical trials. It has been developed by a multi-disciplinary team of researchers from Case Western Reserve University, Case Comprehensive Cancer Center, and Clinical and Translational Science Collaborative of Cleveland. It promotes a unique preemptive workflow in trial recruitment strategy, which has been piloted at the Seidman Cancer Center. The main contribution of this thesis is an ontology-driven interface called VISAGET for Trial Prospector, for creating computable models of clinical trial eligibility criteria. VISAGET addresses an important barrier in electronic screening of eligible patients for clinical trials in the accurate representation of inclusion and exclusion criteria as computable and executable queries. Adapted from the Physio-MIMI query interface VISAGE, it uses standard terminologies such as the NCI Meta-thesaurus to support both the authoring and editing interface for eligibility representation, as well as for mapping of patient database and translated trial eligibility database. The VISAGET front-end allows nurses, physicians, and study coordinators to select any subset of trials for screening any subset of available patients. The matching results are automatically generated in a user-friendly report format, with easy access to raw data elements demonstrating the reason behind the results. For testing the expressiveness and usability of VISAGET, a total of 15 active trials have been captured for the screening of 93 patients. Preliminary evaluation has been performed in two ways: for the accuracy in eligibility criteria representation, and for initial user feedback. VISAGET achieved 100% precision in trial representation without consideration of temporal constraints, and initial feedback confirms the value of the Trial Prospector workflow for clinical trial screening and recruitment.
Guo-Qiang Zhang, Dr. (Committee Chair)
Satya Sahoo, Dr. (Committee Member)
Rong Xu, Dr. (Committee Member)
73 p.

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Citations

  • Tao, S. (2014). AN ONTOLOGY-DRIVEN INTERFACE FOR COMPUTABLE MODELING OF CLINICAL TRIAL ELIGIBILITY CRITERIA [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1384260170

    APA Style (7th edition)

  • Tao, Shiqiang. AN ONTOLOGY-DRIVEN INTERFACE FOR COMPUTABLE MODELING OF CLINICAL TRIAL ELIGIBILITY CRITERIA. 2014. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1384260170.

    MLA Style (8th edition)

  • Tao, Shiqiang. "AN ONTOLOGY-DRIVEN INTERFACE FOR COMPUTABLE MODELING OF CLINICAL TRIAL ELIGIBILITY CRITERIA." Master's thesis, Case Western Reserve University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1384260170

    Chicago Manual of Style (17th edition)