Lovato, LC, et al. Recruitment for controlled clinical trials: literature summary and annotated bibliography. Controlled Clinical Trials
1997; 18: 328–352.
Ross, S, et al. Barriers to participation in randomised controlled trials: a systematic review. Journal of Clinical Epidemiology
1999; 52: 1143–1156.
Cowie, MR, et al. Electronic health records to facilitate clinical research. Clinical Research Cardiology
2017; 106: 1–9.
Coorevits, P, et al. Electronic health records: new opportunities for clinical research. Journal of Internal Medicine
2013; 274: 547–560.
Weng, C, et al. Using EHRs to integrate research with patient care: promises and challenges. Journal of American Medical Informatics Association
2012; 19: 684–687.
Henry, J, et al. Adoption of electronic health record systems among U.S. Non-Federal Acute Care Hospitals: 2008-2015 (ONC Data Brief No. 35). Office of the National Coordinator for Health Information Technology, Washington, DC.
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.
Murphy, SN, et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). Journal of American Medical Informatics Association
2010; 17: 124–130.
Damschroder, LJ, et al. Patients, privacy and trust: patients’ willingness to allow researchers to access their medical records. Social Science & Medicine
2007; 64: 223–235.
Grande, D, et al. Public preferences about secondary uses of electronic health information. JAMA Internal Medicine
2013; 173: 1798–1806.
Grande, D, et al. The importance of purpose: moving beyond consent in the societal use of personal health information. Annals of Internal Medicine
2014; 161: 855–U837.
Caine, K, Hanania, R. Patients want granular privacy control over health information in electronic medical records. Journal of the American Medical Informatics Association
2013; 20: 7–15.
Patel, V, Barker, W, Siminerio, E. Disparities in individuals’ access and use of health IT in 2014 (ONC Data Brief No. 34). Office of the National Coordinator for Health Information Technology, Washington, DC, 2016.
Bower, JK, et al. Active use of electronic health records (EHRs) and personal health records (PHRs) for epidemiologic research: sample representativeness and nonresponse bias in a study of women during pregnancy. EGEMS (Washington, DC)
2017; 5: 1263.
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.
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.
Embi, PJ, Leonard, AC. Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. Journal of American Medical Informatics Association
2012; 19: e145–e148.
Embi, PJ, Jain, A, Harris, CM. Physicians’ perceptions of an electronic health record-based clinical trial alert approach to subject recruitment: a survey. BMC Medical Informatics and Decision Making
2008; 8: 13.
Weng, C, et al. A real-time screening alert improves patient recruitment efficiency. AMIA
. Annual Symposium Proceedings/AMIA Symposium. AMIA Symposium
2011; 2011: 1489–1498.
Ferranti, JM, et al. The design and implementation of an open-source, data-driven cohort recruitment system: the Duke Integrated Subject Cohort and Enrollment Research Network (DISCERN). Journal of American Medical Informatics Association
2012; 19: e68–e75.
Thadani, SR, et al. Electronic screening improves efficiency in clinical trial recruitment. Journal of American Medical Informatics Association
2009; 16: 869–873.
Fihn, SD, et al. Insights from advanced analytics at the Veterans Health Administration. Health Affairs (Millwood)
2014; 33: 1203–1211.
Hurdle, JF, et al. Courdy, identifying clinical/translational research cohorts: ascertainment via querying an integrated multi-source database. Journal of American Medical Informatics Association
2013; 20: 164–171.
Horvath, MM, et al. The DEDUCE Guided Query tool: providing simplified access to clinical data for research and quality improvement. Journal of Biomedical Informatics
2011; 44: 266–276.
Narus, SP, et al. Federating clinical data from six pediatric hospitals: process and initial results from the PHIS+ Consortium. AMIA
. Annual Symposium Proceedings/AMIA Symposium. AMIA Symposium
2011; 2011: 994–1003.
Kluding, PM, et al. Frontiers: integration of a research participant registry with medical clinic registration and electronic health records. Clinical and Translational Science
2015; 8: 405–411.
Cheah, S, et al. Permission to contact (PTC) – a strategy to enhance patient engagement in translational research. Biopreservation and Biobanking
2013; 11: 245–252.
Sanderson, IC, et al. Managing clinical research permissions electronically: a novel approach to enhancing recruitment and managing consents. Clinical Trials
2013; 10: 604–611.
Tan, MH, et al. Design, development and deployment of a Diabetes Research Registry to facilitate recruitment in clinical research. Contemporary Clinical Trials
2016; 47: 202–208.
Beskow, LM, et al. Ethical issues in identifying and recruiting participants for familial genetic research. American Journal of Medical Genetics. Part A
2004; 130A: 424–431.
Beskow, LM, et al. Patient perspectives on research recruitment through cancer registries. Cancer Causes & Control
2005; 16: 1171–1175.
Beskow, LM, Sandler, RS, Weinberger, M. Research recruitment through US central cancer registries: balancing privacy and scientific issues. American Journal of Public Health
2006; 96: 1920–1926.
Beskow, LM, et al. The effect of physician permission versus notification on research recruitment through cancer registries (United States). Cancer Causes & Control
2006; 17: 315–323.
Sharkey, K, et al. Clinician gate-keeping in clinical research is not ethically defensible: an analysis. Journal of Medical Ethics
2010; 36: 363–366.
Corregano, L, et al. Accrual Index: a real-time measure of the timeliness of clinical study enrollment. Clinical and Translational Science
2015; 8: 655–661.