Course Focuses on Integrating the Use of TriNetX with Biomedical Informatics Curriculum
CAMBRIDGE, Mass., Aug. 10, 2022 /PRNewswire/ — TriNetX, LLC partnered with The University of Texas Medical Branch (“UTMB”) on a new research and analytics course titled: Biomedical Informatics: Applied Investigation and Analysis in Health Outcomes Research. The course aims to provide theoretical and practical experience in analyzing and interpreting epidemiological, real-world data from the TriNetX Platform.
TriNetX is a global network of healthcare organizations and life sciences companies driving real-world research to accelerate the development of new therapies. The company built a self-service platform that provides authorized users access to a global network of millions of patients with billions of clinical facts, and an advanced suite of analytic tools that empower researchers to find answers to their clinical questions and drive scientific discovery to improve patient lives.
“UTMB has been running training workshops on the TriNetX Platform for two years and realized there was a lot of base foundational knowledge that was missing among students,” said Kamil Khanipov, Assistant Professor, Department of Pharmacology and Toxicology who developed the course with George Golovko, also an Assistant Professor in the same department in conjunction with the Institute of Translational Sciences at UTMB. “We wanted to be able to provide educational content in a more structured and thorough manner rather than just an hour workshop here and there.”
Lectures in this first-of-its-kind course cover data coding systems, data harmonization, data compliance/privacy, basic epidemiology and statistics, patient centricity, and real-world evidence strategy and interpretation. Class laboratories will leverage the TriNetX Platform to provide students with the opportunity to implement methods covered in lecture, recreating population studies and clinical trial protocols. By the end of the course, students will be able to use TriNetX to run real-world data studies and submit the results to peer reviewed journals for publication.
“We are absolutely thrilled to have helped develop a program that provides early career researchers the access to informatics tools that will provide a foundation in observational outcomes research,” said Lindsay Stahl, Director, Healthcare Partnerships at TriNetX. “Working with like-minded investigators and true innovators at UTMB has made the experience even more ideal. We look forward to helping to develop similar courses with other healthcare organizations and medical schools across the TriNetX Network.”
The UTMB course will begin as an elective for graduate and medical students, residents, and post-doctoral fellows in the fall of 2022.
About TriNetX, LLC
TriNetX is a global network of healthcare organizations and life sciences companies driving real-world research to accelerate the development of new therapies. Through its self-service, HIPAA, GDPR, and LGPD-compliant platform of federated EHR, datasets, and consulting partnerships, TriNetX puts the power of real-world data into the hands of its worldwide community to improve protocol design, streamline trial operations, refine safety signals, and enrich real-world evidence generation. For more information, visit TriNetX at www.trinetx.com or follow @TriNetX on Twitter.
About The University of Texas Medical Branch
Texas’ first academic health center opened its doors in 1891 and today has four campuses, four health sciences schools, four institutes for advanced study, a research enterprise that includes one of only two national laboratories dedicated to the safe study of infectious threats to human health, a Level 1 Trauma Center and a health system offering a full range of primary and specialized medical services throughout the Texas Gulf Coast region. UTMB is an institution in the University of Texas System and a member of the Texas Medical Center.
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Source: https://www.prnewswire.com/news-releases/trinetx-develops-new-analytics-course-with-the-university-of-texas-medical-branch-301603008.html