Leveraging retooled clinical research infrastructure for Clinical Research Management System implementation at a large Academic Medical Center

• Published in: Journal of clinical and translational science 2023, Vol.7 (1), p.e127-e127, Article e127
• Main Authors: Mullen, Catherine G, Houlihan, Jessica Y, Stroo, Marissa, Deeter, Christine E, Freel, Stephanie A, Padget, Angela M, Snyder, Denise C
• Format: Article
• Language: English
• Subjects: academic medical center; Budgets; clinical research finance; clinical research operations; clinical trial efficiency; Clinical trial management system; Contract negotiations; Electronic medical records; Health care; Infrastructure; Innovations for Enhancing the Informativeness and Quality of Clinical Trials; Job classification; Portfolio management; Reconciliation; Research Methods and Technology; Special Communications; Startups; Task forces; Workforce
• ISSN: 2059-8661; 2059-8661
• DOI: 10.1017/cts.2023.550

Quality clinical research is essential for health care progress and is the mission of academic health centers. Yet ensuring quality depends on an institution's ability to measure, control, and respond to metrics of trial performance. Uninformed clinical research provides little benefit to health care, drains institutional resources, and may waste participants' time and commitment. Opportunities for ensuring high-quality research are multifactorial, including training, evaluation, and retention of research workforces; operational efficiencies; and standardizing policies and procedures. Duke University School of Medicine has committed to improving the quality and informativeness of our clinical research enterprise through investments in infrastructure with significant focus on optimizing research management system integration as a foundational element for quality management. To address prior technology limitations, Duke has optimized Advarra's OnCore for this purpose by seamlessly integrating with the IRB system, electronic health record, and general ledger. Our goal was to create a standardized clinical research experience to manage research from inception to closeout. Key drivers of implementation include transparency of research process data and generating metrics aligned with institutional goals. Since implementation, Duke has leveraged OnCore data to measure, track, and report metrics resulting in improvements in clinical research conduct and quality.