About
Jason Chami is a Clinical Associate Lecturer at the Central Clinical School within the Faculty of Medicine and Health at the University of Sydney. His academic appointment focuses on clinical teaching and research in cardiology and medical informatics, with affiliations spanning the Sydney Medical School and Central Clinical School.
His research interests center on cardiology, particularly congenital heart disease complexity stratification, registry systems, and medical coding accuracy. He also investigates ophthalmology (glaucoma devices), metabolism (cardiometabolic biomarkers), and neuroscience (pain pathways). His work integrates clinical data analysis with informatics approaches to improve diagnostic precision and patient outcomes.
Analysis of his 2020-2025 publications reveals dominant themes in congenital heart disease research, including algorithmic risk stratification, registry optimization, and coding error reduction. Secondary streams include ophthalmology (PreserFlo MicroShunt safety studies), metabolism (Slc16a13 gene impacts), and neuroscience (neuroreceptor changes in pain models), demonstrating cross-disciplinary clinical research methodology.
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