Jihad Obeid, M.D.
Methodological research using data science approaches on EHRs and SDOH to identify risks for health inequities and poor outcomes in cancer patients
Research Interest
Dr. Obeid is a Professor and SmartState Endowed Chair in Biomedical Informatics in the Department of Public Health Sciences at the Medical University of South Carolina (MUSC), where he serves as Assistant Vice President for Research on AI Strategy and Research Intelligence. He is also co-founder of the AI Hub and Director of the Cancer Integrated Data Enabled Resource (CIDER), which serves as a cancer-optimized data infrastructure and shared resource. Dr. Obeid serves as PI or co-I on several funded research informatics projects and is the site PI for PCORnet at MUSC.
His research focuses on the use of AI, including large language models (LLMs), with EHR data and clinical text to enhance computable phenotypes and predictive modeling. Through his leadership positions at MUSC, he oversees the development of several academic and operational informatics initiatives and leads multiple Clinical and Translational Science Award (CTSA)-related informatics projects, including the electronic health record (EHR) Research Data Warehouse (RDW) and feeds to common data models such as the PCORnet CDM, REDCap, and other initiatives. He also directs and teaches graduate courses in translational informatics and research data management in the Biomedical Informatics and Data Science PhD and Master of Science in Clinical Research programs. At the national level, Dr. Obeid has led and served on several workgroups and committees, including the CTSA Sustainable Informatics working group and the CTSA Methods and Processes Executive Committee.