Our Mission

Established in 2013, the Oklahoma Clinical and Translational Science Institute serves as a catalyst for clinical and translational research that improves health and healthcare for underserved and underrepresented populations, to provide training and infrastructure to help junior investigators to launch independent research careers, and to expand the opportunities of IDeA states and Oklahoma communities to participate in research that improves the health of our residents. 

Oklahoma Shared Clinical and Translational Resources

OSCTR is Oklahoma's NIH-funded IDeA-CTR that provides resources, information, and training to help individuals or communities involved in performing clinical and translational research in the state

Oklahoma Primary Healthcare Improvement Cooperative

 

OPHIC is the implementation science arm of a statewide network to help improve healthcare delivery assisting primary care practices to adopt evidence-based best practices for the care of their patients.

OCTSI Clinical Research Unit

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The OCTSI CRU assists medical providers to identify and conduct clinical research opportunities in Oklahoma.

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Recent Publications

CATCH-UP vaccines: protocol for a randomized controlled trial using the multiphase optimization strategy (MOST) framework to evaluate education interventions to increase COVID-19 vaccine uptake in Oklahoma

BMC Public Health. 2023 Jun 14;23(1):1146. doi: 10.1186/s12889-023-16077-w.

ABSTRACT

BACKGROUND: Oklahoma's cumulative COVID-19 incidence is higher in rural than urban counties and higher than the overall US incidence. Furthermore, fewer Oklahomans have received at least one COVID-19 vaccine compared to the US average. Our goal is to conduct a randomized controlled trial using the multiphase optimization strategy (MOST) to test multiple educational interventions to improve uptake of COVID-19 vaccination among underserved populations in Oklahoma.

Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs

J Am Med Inform Assoc. 2023 May 19;30(6):1125-1136. doi: 10.1093/jamia/ocad057.

ABSTRACT

OBJECTIVE: Clinical encounter data are heterogeneous and vary greatly from institution to institution. These problems of variance affect interpretability and usability of clinical encounter data for analysis. These problems are magnified when multisite electronic health record (EHR) data are networked together. This article presents a novel, generalizable method for resolving encounter heterogeneity for analysis by combining related atomic encounters into composite "macrovisits."

Informatics tools to implement late cardiovascular risk prediction modeling for population management of high-risk childhood cancer survivors

Pediatr Blood Cancer. 2023 Jun 7:e30474. doi: 10.1002/pbc.30474. Online ahead of print.

ABSTRACT

BACKGROUND: Clinical informatics tools to integrate data from multiple sources have the potential to catalyze population health management of childhood cancer survivors at high risk for late heart failure through the implementation of previously validated risk calculators.

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