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Clinical Informatics Fellowship

Photo by Justin Laing

The Yale/VA ACGME Clinical Informatics Fellowship is a 2-year program open to all ABMS board certified and board eligible applicants as a pathway to ABPM board certification in Clinical Informatics. The program is administered through the Yale Department of Emergency Medicine with informatics training experiences split between the Yale-New Haven Health and Veterans Affairs.

Experiential learning is combined with didactic classes and conferences with the option to complete a Masters of Health Sciences in informatics at Yale. The two sites offer exposure to a wide variety of complementary faculty, information systems, research, operational activities, informatics content, and training experiences. Major rotations include electronic health records, clinical decision support, databases and data analysis, quality and safety, and pathology informatics. Longitudinal experiences include data science seminars, leadership training, and research projects.

The second year is dedicated to advanced learning and project leadership. Fellows attend the American Medical Informatics Association annual meeting in their second year. The program prepares fellows for the Clinical Informatics Board examination. Previous fellows have careers in research, operations, and industry.

For further information, contact Ted Melnick, MD, MHS (Program Director) or Karen Broderick (Program Coordinator). Apply through ERAS by October 1 and participate in the AMIA match in mid-December.

Current Fellows

  • Lecturer; Assistant Clinical Professor, Yale School of Medicine; Hospitalist, Yale New Haven Hospital, Northeast Medical Group

    Board Certified Internal Medicine Physician| Clinical Informatics Fellowship at Yale University | Master's in Health Sciences at Yale University | Certified Physician Executive (AAPL)| AΩA Faculty Member | Leader in Hospital Medicine | Motto: Making Healthcare Personal Again through Technology
  • Lecturer

    Andrew Loza is a physician-scientist whose research focuses on predictive analytics and population health. He received his PhD from Washington University in St. Louis in biophysics studying mechanisms of collective cell migration using time lapse microscopy coupled with computer vision methods and simulation. He completed his MD degree at the Yale University School of Medicine and residency in Internal Medicine – Pediatrics also at Yale. During this time he contributed to development of a COVID-19 census prediction model and conducted research on the effect of COVID-19 on routine pediatric outpatient care. He is currently a Clinical Informatics fellow in the ACGME Yale/VA program led by Dr. Edward Melnick with clinical work at the Yale Internal Medicine – Pediatrics Clinic.

Former Fellows

  • Lecturer in Biostatistics (Health Informatics); Director of Informatics, Clinical and Translational Research Accelerator (CTRA); Medical Information Officer for Research, Yale New Haven Health System

    Michael Simonov is an internist and clinical informaticist. He attended the University of Michigan graduating with honors in mathematics. He then attended medical school at the University of Michigan prior to completing medical internship and residency at Yale.His primary interests include health care analytics, including predictive and prescriptive analytics using data from the electronic health record. His objectives are to combine his medical, mathematical and computational backgrounds to solving operational and research questions in healthcare.He served as the Director of Informatics at the Clinical and Translational Research Accelerator (CTRA) within the Department of Medicine working on a variety of interventional data science projects. He also served as a Medical Information Officer for research for the Yale New Haven Health System. He is currently adjunct at Yale.