Yaorong Ge

Yarong Ge
Software and Information Systems
Woodward 333E
Personal Website: https://cci-hit.uncc.edu/
Degree Institution: Vanderbilt University
Degree: Ph.D.
Research Description: 
Health Informatics, Clinical Information and Decision Support Systems, Data Warehousing, Data Analytics, Machine Learning, Medical Imaging and Image Analysis


Yaorong Ge, Ph,D., comes to the Department of Software and Information Systems as a tenured Associate Professor after serving as an Associate Professor in the Department of Biomedical Engineering and the Center of Biomedical Informatics at Wake Forest University Health Sciences (WFUHS). He received his Ph.D. in Computer Science-Medical Engineering from Vanderbilt University (1995). Dr. Ge has extensive experience in imaging informatics and medical informatics. He was a part of the virtual colonoscopy research group that initiated and advanced the development of virtual colonoscopy, a minimally invasive technology for colorectal cancer screening. His expertise in imaging includes image registration, segmentation, skeletonization, computer-aided diagnosis, and radiology structured reporting. Dr. Ge also has strong experience in industry-strength software development. He co-founded and managed a medical software company to commercialize virtual colonoscopy and radiology structured reporting technologies. As Chief Technology Officer of the company, he established rigorous software engineering processes and a strong engineering team that produced state-of-the-art, FDA cleared imaging information systems, as well as a clinical ontology for radiology reporting. After the startup was acquired by IDX Corporation, an industry leader in healthcare IT before being merged into GE Healthcare, he became the Director of the software development team of IDX’s radiology information system division. Since returning to academia in mid 2006, Dr. Ge has been focusing on imaging informatics research and ontology-based informatics systems development, which includes research ontologies, data grids, and data discovery and mining algorithms. To this end, he has developed an information management system for population-based cardiovascular studies, building on state-of-the-art open source technologies. This system has been successfully deployed in the Jackson Heart Study (JHS) Reading Center, the Coronary Artery Risk Development in Young Adults (CARDIA) Study Reading Center, and several other research studies at WFUHS to manage imaging results of both human and primate populations. He is also led the development of the WFUHS Translational Data Warehouse (TDW) based on the i2b2 open source technologies. The current version of TDW is hosting de-identified clinical data of more than 1.7 million patients including their demographics, vitals, diagnoses, procedures, labs, and medication. In a recently funded ARRA Grand Opportunity grant, Dr. Ge led the development of a novel technology for effective sharing of clinical medical imaging data among rural and urban healthcare providers. This project investigates both the patient and provider needs for medical image sharing and the technologies that can effectively meet these needs.


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