| Healthcare institutions house vast amounts of imaging data that can fuel valuable collaborations with researchers and commercial entities; however, it takes considerable resources and lead time to create these data sets and share them in compliant and efficient ways. Dr. Peter McCaffrey at the University of Texas Medical Branch has implemented a platform for streamlining the creation of both radiology and pathology data sets, enabling more efficient collaborations both inside and outside the UT system. As a result, grant and publication timelines are accelerated, grant applications are more successful, and the health system’s data is being used in innovative new models. |
About the Speakers
Peter McCaffrey, MD, is Director of Pathology Informatics, Director of the Division of Bioinformatics and Artificial Intelligence, Director of Laboratory Information Services, and an Assistant Professor of Pathology at the University of Texas Medical Branch. Dr. McCaffrey’s work focuses on data management and analytics utilizing imaging and laboratory testing data including governance, extraction, and modeling. Peter received his MD from Johns Hopkins and completed his Residency in Clinical Pathology and Laboratory Medicine at Massachusetts General Hospital and is the author of "An Introduction to Healthcare Informatics: Building Data-Driven Tools," published by Elsevier Academic Press.
Sina Aslan, PhD, is an Adjunct Assistant Professor in the Psychiatry Department at the University of Texas Southwestern Medical Center, President of Advance MRI, LLC (a research and development company), and Senior Director and Solution Strategist at Flywheel. He has extensive experience in the development of neuroimaging techniques such as functional, perfusion and diffusion algorithms as well as implementing cloud-based imaging analytic workflows. At Flywheel, he collaborates with researchers and clinicians in diverse fields to automate data ingestion from medical instruments and hospital-based PACS/VNA servers, enabling streamlined creation of data sets. |
