Grants awarded to SBMI faculty: April 2013

Published April 26, 2013


Integration and Analysis of Medical Data for Important Acute Diseases

Noriaki Aoki, MD, PhD, SBMI associate professor, received a grant through the CHORD- J Consortium as the project leader to develop an information management system that will integrate data from prehospital, acute care and inpatient care, which will be used for further decision making in the regional emergency care PDSA (Plan-Do-Study-Act) cycle.

Real-time Disambiguation of Abbreviations in Clinical Notes 

Hua Xu, PhD, new SBMI associate professor, had a NIH grant transferred from Vanderbilt University, which proposes to develop informatics methods to automatically detect abbreviations and their possible meanings from large clinical text and to disambiguate abbreviations that have multiple meanings. The project will also integrate those methods with clinical documentation systems so abbreviations can be expanded in real-time when physicians enter clinical notes.

Bridging Genomics and Medicine by Ontology Fingerprints 

Jim Zheng, PhD, new SBMI associate professor, had a NIH grant transferred from the Medical University of South Carolina, which proposes to develop an ontology fingerprint-derived gene network to study human disease. These studies will link genomic information to clinical concepts and translate biomedical literature and genomic information into clinical practice by employing ontology fingerprints to decipher the interplay and reversal of obesity, diabetes and hepatic steatosis after GBS. Bridging the gap between genomics and medicine by ontology fingerprints will enhance the delivery of clinical care to patients.

An Insilico Method for Epidemiological Studies Using Electronic Medical Records

Hua Xu, PhD, new SBMI associate professor, had a NIH/NCI grant transferred from Vanderbilt University, which proposes to develop an automated informatics approach to extract both fine-grained cancer findings and general clinical information from electronic medical records and use them to conduct cancer related epidemiological studies.