Literature DB >> 11841861

Using technology to address recruitment issues in the clinical trial process.

Lara Marks1, Emmett Power.   

Abstract

It takes nearly ten years to get a drug through the discovery and development pipeline and onto the market; most of this time is spent in the clinical phase. Clinical development times vary widely from drug to drug, but a drug typically spends just over 6 years going through clinical trials and regulatory processes. At least 3 years of this time is spent recruiting patients. Every month by which the development process can be shortened is worth US $25 million in additional income for the average drug. Can the recruitment time be shortened?

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Year:  2002        PMID: 11841861     DOI: 10.1016/s0167-7799(02)01881-4

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  11 in total

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Authors:  Jeffrey M Ferranti; William Gilbert; Jonathan McCall; Howard Shang; Tanya Barros; Monica M Horvath
Journal:  J Am Med Inform Assoc       Date:  2011-09-23       Impact factor: 4.497

2.  Clinical research subject recruitment: the Volunteer for Vanderbilt Research Program www.volunteer.mc.vanderbilt.edu.

Authors:  Paul A Harris; Lynda Lane; Italo Biaggioni
Journal:  J Am Med Inform Assoc       Date:  2005-07-27       Impact factor: 4.497

3.  A knowledge-anchored integrative image search and retrieval system.

Authors:  Selnur Erdal; Umit V Catalyurek; Philip R O Payne; Joel Saltz; Jyoti Kamal; Metin N Gurcan
Journal:  J Digit Imaging       Date:  2007-11-27       Impact factor: 4.056

4.  Knowledge management and informatics considerations for comparative effectiveness research: a case-driven exploration.

Authors:  Peter J Embi; Courtney Hebert; Gayle Gordillo; Kelly Kelleher; Philip R O Payne
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

Review 5.  Biomedical informatics and outcomes research: enabling knowledge-driven health care.

Authors:  Peter J Embi; Stanley E Kaufman; Philip R O Payne
Journal:  Circulation       Date:  2009-12-08       Impact factor: 29.690

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.  Challenges of internet recruitment: a case study with disappointing results.

Authors:  Malcolm Koo; Harvey Skinner
Journal:  J Med Internet Res       Date:  2005-03-19       Impact factor: 5.428

9.  User-centered research on breast cancer patient needs and preferences of an Internet-based clinical trial matching system.

Authors:  Nancy L Atkinson; Holly A Massett; Christy Mylks; Bethany Hanna; Mary Jo Deering; Bradford W Hesse
Journal:  J Med Internet Res       Date:  2007-05-15       Impact factor: 5.428

10.  Automated real-time text messaging as a means for rapidly identifying acute stroke patients for clinical trials.

Authors:  Kati Jegzentis; Tim Nowe; Peter Brunecker; Matthias Endres; Bernd Haferkorn; Christoph Ploner; Jens Steinbrink; Gerhard Jan Jungehulsing
Journal:  Trials       Date:  2014-07-29       Impact factor: 2.279

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