UTHSC-ORNL Center for Biomedical Informatics
The UTHSC-ORNL Center for Biomedical Informatics (CBMI) bridges technology, computation and health research to improve personal and population health in Memphis and Tennessee. Research at CBMI centers around using predictive analytics and semantic web ontologies.
Current Research Focus
- Using machine learning and neural networks on streaming physiologic data collected from medical monitors to predict sepsis in children and adults.
- Developing new machine learning methods to predict cardiac arrhythmias from normal electrocardiographic tracings.
- Assessing the influence of social determinants of health and environment upon Sickle Cell Disease.
- Developing new insight into the pathogenesis of preeclampsia
- Creating smart personal libraries to help guide health
Research Enterprise Data Warehouse (rEDW) – is an in-house built standardized aggregated healthcare data warehouse housing data from Methodist Le Bonheur Healthcare. Through this warehouse we make available a single, comprehensive and integrated warehouse of all pediatric and adult clinical data sources on the campus to facilitate healthcare research, healthcare operations and medical education.
TrinetX Live – TrinetX Live is a cloud based health research platform. This platform provides visual and tabular data summary of the research Enterprise Data Warehouse containing standardized aggregated pediatric and adult healthcare data from Methodist Le Bonheur Health System. This platform is currently live.
Cerner Health Facts Database – CBMI is now able to provide UTHSC researchers and affiliates access to the CERNER Health Facts® (HF) database. Since 2000, CERNER Health Facts® database has captured and stored de-identified, longitudinal electronic health record (EHR) patient data, aggregated and organized to facilitate analyses and reporting – it currently contains data on almost 50 million patients and almost 300 million encounters.
REDCap – For clinical Research Databasing we offer access to the Research Electronic Data Capture (REDCap) System. REDCap is a secure web application for building and managing online surveys and databases. REDCap is specifically geared to support online or offline data capture for research studies and operations.
JICS ACF – The Advanced Computing Facility (ACF) is made possible through a partnership between the Joint Institute for Computational Sciences (JICS), the University of Tennessee Knoxville (UTK), and the University of Tennessee Health Science Center. Advance Compute Facility comprises both an open enclave as well as an eclave for secure information processing (SIP) to provide environments necessary to meet the computing needs of faculty working on either open or sensitive applications, or both. To get access to JICS please contact Dr. Akram Mohammed (firstname.lastname@example.org).
All databases and projects are maintained at UTHSC in close collaboration with the UTHSC Information Technology Services. All systems used for data handling are HIPAA and FISMA compliant.