1. Kitterman, DR, et al. The prevalence and economic impact of low-enrolling clinical studies at an academic medical center. Academic Medicine 2011; 86: 1360–1366.
2. Cuggia, M, Besana, P, Glasspool, D. Comparing semi-automatic systems for recruitment of patients to clinical trials. International Journal of Medical Informatics 2011; 80: 371–388.
3. Köpcke, F, Prokosch, HU. Employing computers for the recruitment into clinical trials: a comprehensive systematic review. Journal of Medical Internet Research 2014; 16: e161.
4. Leshner, AI, et al.
The CTSA Program at NIH: Opportunities for Advancing Clinical and Translational Research
. Washington, DC: National Academies Press, 2013, pp. 42–43.
5. Harris, PA, et al. Research electronic data capture (REDCap) – a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics 2009; 42: 377–381.
6. Thompson, DS, Oberteuffer, R, Dorman, T. Sepsis alert and diagnostic system: integrating clinical systems to enhance study coordinator efficiency. Computers, Informatics, Nursing 2003; 21: 22–26.
7. Embi, PJ, et al. Effect of a clinical trial alert system on physician participation in trial recruitment. Archives of Internal Medicine 2005; 165: 2272–2277.
8. Rollman, BL, et al. Comparison of electronic physician prompts versus waitroom case-finding on clinical trial enrollment. Journal of General Internal Medicine 2008; 23: 447–450.
9. Nkoy, FL, et al. Enhancing an existing clinical information system to improve study recruitment and census gathering efficiency. AMIA Annual Symposium Proceedings Archive 2009; 476–480.
10. Penberthy, L, et al. Automated matching software for clinical trials eligibility: measuring efficiency and flexibility. Contemporary Clinical Trials 2010; 31: 207–217.
11. Cardozo, E, et al. Utility of an automated notification system for recruitment of research subjects. Emergency Medicine Journal 2010; 27: 786–787.
12. Herasevich, V, et al. Enrollment into a time sensitive clinical study in the critical care setting: results from computerized septic shock sniffer implementation. Journal of the American Medical Informatics Association 2011; 18: 639–644.
13. Beauharnais, CC, et al. Efficacy and cost-effectiveness of an automated screening algorithm in an inpatient clinical trial. Clinical Trials 2012; 9: 198–203.
14. Köpcke, F, et al. Secondary use of routinely collected patient data in a clinical trial: an evaluation of the effects on patient recruitment and data acquisition. International Journal of Medical Informatics 2013; 82: 185–192.
15. Folmar, S, et al. Recruitment of participants for the Estrogen Replacement and Atherosclerosis (ERA) trial. A comparison of costs, yields, and participant characteristics from community- and hospital-based recruitment strategies. Controlled Clinical Trials 2001; 22: 13–25.
16. Rubin, RR, et al. The Diabetes Prevention Program: recruitment methods and results. Controlled Clinical Trials 2002; 23: 157–171.
17. McDonald, PW. A practical, cost-effective method for recruiting people into healthy eating behavior programs. Preventing Chronic Disease 2007; 4: A26.
18. Sadler, GR, et al. Costs of recruiting couples to a clinical trial. Contemporary Clinical Trials 2007; 28: 423–432.
19. Battistella, E, Kalyan, S, Prior, JC. Evaluation of methods and costs associated with recruiting healthy women volunteers to a study of ovulation. Journal of Womens Health (Larchmt) 2010; 19: 1519–1524.
20. Luzurier, Q, et al. Strategy for recruitment and factors associated with motivation and satisfaction in a randomized trial with 210 healthy volunteers without financial compensation. BMC Medical Research Methodology 2015; 15: 2.
21. Harris, PA, Lane, L, Biaggioni, I. Clinical research subject recruitment: the Volunteer for Vanderbilt Research Program www.volunteer.mc.vanderbilt.edu. Journal of American Medical Informatics Association 2005; 12: 608–613.