Johns Hopkins Diabetes Prevention and Education Program
Background
Dr. Mathioudakis, an endocrinologist and researcher, has a strong focus on diabetes management and patient care, recognized through awards like the Baltimore Top Doc. He has contributed significantly to diabetes research, authoring over 100 publications and participating in the development of consensus guidelines in the field. His studies have offered valuable insights into using health informatics for diabetes prevention and management.
After graduating from the Johns Hopkins University School of Medicine and completing his training in Internal Medicine and a fellowship in Endocrinology, Diabetes, & Metabolism, Dr. Mathioudakis joined the faculty in the Division of Endocrinology, Diabetes & Metabolism in 2012. He earned a Master of Health Science in clinical investigation in 2015 and was the Clinical Director of the Division of Endocrinology from 2016 to 2021. Currently, he co-directs the Baltimore Metropolitan Diabetes Regional Partnership, focusing on improving access to diabetes prevention and management programs.
Involved in several NIH-funded studies, Dr. Mathioudakis is researching the effectiveness of automated diabetes prevention programs and strategies to reduce racial disparities in diabetes technology access. He also collaborates nationally to enhance care for people with type 1 diabetes.
Holding a joint appointment in the Division of Biomedical Informatics and Data Science, Dr. Mathioudakis integrates machine learning and AI in diabetes research. He has served on the national Epic Endocrinology Specialty Steering Board and chaired the Type 2 Diabetes Prognostics Working Group for the Precision Medicine Diabetes Initiative. Committed to education, he frequently lectures on endocrinology, epidemiology, and health informatics.
Patient Ratings & Comments
The Patient Rating score is an average of all responses to physician related questions on the national CG-CAHPS Medical Practice patient experience survey through Press Ganey. Responses are measured on a scale of 1 to 5, with 5 being the best score. Comments are also gathered from our CG-CAHPS Medical Practice Survey through Press Ganey and displayed in their entirety. Patients are de-identified for confidentiality and patient privacy.