Literature DB >> 15302090

Selection of patients for clinical trials: an interactive web-based system.

Eugene Fink1, Princeton K Kokku, Savvas Nikiforou, Lawrence O Hall, Dmitry B Goldgof, Jeffrey P Krischer.   

Abstract

The purpose of a clinical trial is to evaluate a new treatment procedure. When medical researchers conduct a trial, they recruit participants with appropriate health problems and medical histories. To select participants, they analyze medical records of the available patients, which has traditionally been a manual procedure. We describe an expert system that helps to select patients for clinical trials. If the available data are insufficient for choosing patients, the system suggests additional medical tests and finds an ordering of the tests that reduces their total cost. Experiments show that the system can increase the number of selected patients. We also present an interface that enables a medical researcher to add clinical trials and selection criteria without the help of a programmer. The addition of a new trial takes 10-20 min, and novice users learn the functionality of the interface in about an hour.

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Year:  2004        PMID: 15302090     DOI: 10.1016/j.artmed.2004.01.017

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  16 in total

1.  Development of an electronic health record-based Clinical Trial Alert system to enhance recruitment at the point of care.

Authors:  Peter J Embi; Anil Jain; Jeffrey Clark; C Martin Harris
Journal:  AMIA Annu Symp Proc       Date:  2005

Review 2.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

3.  Adaptive semantic tag mining from heterogeneous clinical research texts.

Authors:  T Hao; C Weng
Journal:  Methods Inf Med       Date:  2014-10-20       Impact factor: 2.176

4.  Accelerating Biopharmaceutical Development in the Decade of Health Information Technology: Applications of EHRs for outcomes research and clinical trials recruitment.

Authors:  Michael I Lieberman; Peter Embi; Thomas N Ricciardi; Kevin Tabb
Journal:  Biotechnol Healthc       Date:  2005-08

5.  MindTrial: An Intelligent System for Clinical Trials.

Authors:  Yugyung Lee; Deendayal Dinakarpandian; Nikhilesh Katakam; Dennis Owens
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  Automated matching software for clinical trials eligibility: measuring efficiency and flexibility.

Authors:  Lynne Penberthy; Richard Brown; Federico Puma; Bassam Dahman
Journal:  Contemp Clin Trials       Date:  2010-03-15       Impact factor: 2.226

7.  Effect of a clinical trial alert system on physician participation in trial recruitment.

Authors:  Peter J Embi; Anil Jain; Jeffrey Clark; Susan Bizjack; Richard Hornung; C Martin Harris
Journal:  Arch Intern Med       Date:  2005-10-24

8.  A real-time screening alert improves patient recruitment efficiency.

Authors:  Chunhua Weng; Candido Batres; Tomas Borda; Nicole G Weiskopf; Adam B Wilcox; J Thomas Bigger; Karina W Davidson
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

9.  Design and multicentric implementation of a generic software architecture for patient recruitment systems re-using existing HIS tools and routine patient data.

Authors:  B Trinczek; F Köpcke; T Leusch; R W Majeed; B Schreiweis; J Wenk; B Bergh; C Ohmann; R Röhrig; H U Prokosch; M Dugas
Journal:  Appl Clin Inform       Date:  2014-03-19       Impact factor: 2.342

10.  Adoption, acceptability, and accuracy of an online clinical trial matching website for breast cancer.

Authors:  Ellyn Cohen; Jeff Belkora; Joanne Tyler; Joan Schreiner; Mary Jo Deering; Lakshmi Grama; Brenda Duggan; Julie Illi; Julia Pederson; Aprajita Anand; Alexandra Teng; Erin McCreary; Dan Moore; Debu Tripathy; Michael Hogarth; Morton Lieberman; John Park; Laura Esserman
Journal:  J Med Internet Res       Date:  2012-07-11       Impact factor: 5.428

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