title: Trial prospector: matching patients with cancer research studies using an automated and scalable approach.
abstract: Cancer is responsible for approximately 7.6 million deaths per year worldwide. A 2012 survey in the United Kingdom found dramatic improvement in survival rates for childhood cancer because of increased participation in clinical trials. Unfortunately, overall patient participation in cancer clinical studies is low. A key logistical barrier to patient and physician participation is the time required for identification of appropriate clinical trials for individual patients. We introduce the Trial Prospector tool that supports end-to-end management of cancer clinical trial recruitment workflow with (a) structured entry of trial eligibility criteria, (b) automated extraction of patient data from multiple sources, (c) a scalable matching algorithm, and (d) interactive user interface (UI) for physicians with both matching results and a detailed explanation of causes for ineligibility of available trials. We report the results from deployment of Trial Prospector at the National Cancer Institute (NCI)-designated Case Comprehensive Cancer Center (Case CCC) with 1,367 clinical trial eligibility evaluations performed with 100% accuracy.
authors.affiliation: Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Satya S
authors.initials: SS
authors.lastname: Sahoo
authors.affiliation: Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Shiqiang
authors.initials: S
authors.lastname: Tao
authors.affiliation: Division of Hematology and Oncology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. ; University Hospitals Case Medical Center, Seidman Cancer Center, Cleveland, OH, USA.
authors.forename: Andrew
authors.initials: A
authors.lastname: Parchman
authors.affiliation: Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Zhihui
authors.initials: Z
authors.lastname: Luo
authors.affiliation: Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Licong
authors.initials: L
authors.lastname: Cui
authors.affiliation: University Hospitals Case Medical Center, Seidman Cancer Center, Cleveland, OH, USA. ; Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Patrick
authors.initials: P
authors.lastname: Mergler
authors.affiliation: Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Robert
authors.initials: R
authors.lastname: Lanese
authors.affiliation: Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA. ; Institute for Computational Biology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Jill S
authors.initials: JS
authors.lastname: Barnholtz-Sloan
authors.affiliation: Division of Hematology and Oncology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. ; University Hospitals Case Medical Center, Seidman Cancer Center, Cleveland, OH, USA. ; Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Neal J
authors.initials: NJ
authors.lastname: Meropol
authors.affiliation: Division of Medical Informatics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. ; Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA.
authors.forename: Guo-Qiang
authors.initials: GQ
authors.lastname: Zhang
keywords: clinical decision support system; clinical oncology; clinical trial; gastrointestinal cancer; patient recruitment