معرفی
Dr. Jihad Sami 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) College of Medicine. He serves as the Associate Director of the Biomedical Informatics Center (BMIC) and Director of the Social Determinants of Health Shared Resource (SHARE). A pediatrician by clinical training, Dr. Obeid completed formal training in Medical Informatics at the Division of Health Sciences and Technology, a joint Harvard-MIT fellowship program.
Dr. Obeid's research focuses on artificial intelligence applications in healthcare, with particular emphasis on clinical text mining, deep learning, and large language models applied to electronic health record data. His work spans multiple domains including e-phenotyping, predictive modeling, natural language processing, social determinants of health, and electronic consent systems. He has developed innovative approaches for identifying patients with specific conditions like cirrhosis, suicidal behavior, and opioid overdose through analysis of clinical notes and structured EHR data.
His publication record demonstrates consistent contributions to biomedical informatics, with recent work emphasizing AI applications for clinical decision support, public health surveillance (particularly regarding the opioid epidemic), and enhancing research data infrastructure. His research shows a clear trajectory toward increasingly sophisticated AI methodologies applied to complex healthcare problems, with a growing emphasis on explainable AI and practical clinical implementation.
- Fellow of the American Medical Informatics Association (FAMIA)
- SmartState Endowed Chair in Biomedical Informatics
As an educator, Dr. Obeid founded and directs two key courses in Biomedical Informatics (MCR-746: Informatics and Data Management for Clinical Research and BDSI-712: Translational Informatics) and co-founded the AI Hub at MUSC. His leadership extends to operational informatics initiatives including the EHR Research Data Warehouse, REDCap implementation, and Profiles research networking system. He has served as principal investigator, co-investigator, and informatics leader on numerous federally funded projects and has led national working groups related to translational research informatics.
