Page 118 - JCTR-11-5
P. 118
Journal of Clinical and
Translational Research Predicting coordinator workload with adapted OPAL
Epidemiol. 2011;64(1):96-106. doi: 10.4097/kjae.2015.68.6.540
doi: 10.1016/j.jclinepi.2010.03.002 18. Good MJ, Lubejko B, Humphries K, Medders A. Measuring
12. Wu K, Wu E, DAndrea M, et al. Machine learning prediction clinical trial-associated workload in a community clinical
of clinical trial operational efficiency. AAPS J. 2022;24(3):57. oncology program. J Oncol Pract. 2013;9(4):211-215.
doi: 10.1208/s12248-022-00703-3 doi: 10.1200/jop.2012.000797
13. Moons KG, Altman DG, Reitsma JB, et al. Transparent 19. Richie A, Gamble D, Tavlarides A, Strok K, Griffin C.
reporting of a multivariable prediction model for individual Establishing the link between trial complexity and
prognosis or diagnosis (TRIPOD): Explanation and coordinator capacity. Clin Res. 2020;34:8-16.
elaboration. Ann Intern Med. 2015;162(1):W1-W73.
20. WCG. 2024 Clinical Research Site Challenges Report.
doi: 10.7326/M14-0698 WCG; 2024. Available from: https://www.wcgclinical.com/
14. Kumar B, Verma A, Verma P. Optimizing resource allocation wp-content/uploads/2024/10/wcg_2024_clinical_research_
using proactive scaling with predictive models and custom site_challenges_report.pdf?utm_source=chatgpt.com [Last
resources. Comput Electr Eng. 2024;118:109419. accessed on 2025 Apr 04].
doi: 10.1016/j.compeleceng.2024.109419 21. Loree JM, Anand S, Dasari A, et al. Disparity of race
15. Qureshi SM, Purdy N, Neumann WP. Developing a reporting and representation in clinical trials leading to
modelling approach to quantify quality of care and nurse cancer drug approvals from 2008 to 2018. JAMA Oncol.
workload - field validation study. Oper Res Health Care. 2019;5(10):e191870.
2021;29:100301. doi: 10.1001/jamaoncol.2019.1870
doi: 10.1016/j.orhc.2021.100301
22. Chen MS Jr, Lara PN, Dang JH, Paterniti DA, Kelly K.
16. Eichenseer P, Hans L, Winkler H. A data-driven machine Twenty years post-NIH Revitalization Act: Enhancing
learning model for forecasting delivery positions in logistics minority participation in clinical trials (EMPaCT): Laying
for workforce planning. Supply Chain Anal. 2025;9:100099. the groundwork for improving minority clinical trial accrual:
doi: 10.1016/j.sca.2024.100099 Renewing the case for enhancing minority participation in
cancer clinical trials. Cancer. 2014;120(Suppl 7):1091-1096.
17. Kim TK. T test as a parametric statistic. Korean J Anesthesiol.
2015;68(6):540-546. doi: 10.1002/cncr.28575
Volume 11 Issue 5 (2025) 112 doi: 10.36922/JCTR025260032

