Clinical Informatics Fellowship Director
Clinical Informatics
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. Managed through the Yale Department of Emergency Medicine, the fellowship is hosted at Yale-New Haven Health and Veterans Affairs, integrating world-class training with real-world healthcare delivery systems.
Program Structure
First Year: Core Trainin g - The initial year immerses fellows in a dynamic environment where cutting-edge research meets real-time healthcare operations. Training spans from advanced data science techniques, including artificial intelligence and machine learning, to practical applications in electronic health records and clinical decision support systems. Through hands-on projects at Yale-New Haven Health and Veteran Affairs, fellows experience the forefront of technological integration in healthcare, preparing them to lead transformative changes in the industry.
Second Year: Advanced Learning and Leadership - This year focuses on advanced project leadership and customizing experiences based on individual interests. Participation in AMIA’s annual meeting further enriches this tailored learning journey, preparing fellows for impactful roles in the informatics field.
Unique Opportunities
Veterans Affairs Collaboration - Exposure to the Veterans Affairs' Corporate Data Warehouse provides invaluable insights into one of the nation's most comprehensive healthcare databases, emphasizing data security and patient privacy.
Biomedical Informatics & Data Science (BIDS) - This new academic initiative at Yale combines health sciences with IT to revolutionize the organization and analysis of biomedical data, aiming to improve global health outcomes.
Yale-New Haven Hospital System - Training in quaternary care and Level 1 Trauma Center equips fellows with experience in high-stakes, complex healthcare scenarios, leveraging state-of-the-art medical technology.
Masters of Health Sciences in Informatics - Fellows have the optional opportunity to enhance their professional development by pursuing a Masters of Health Sciences in Informatics at Yale, further deepening their expertise in the field.
Participating in the ERAS / AMIA Match
- Applications are accepted through ERAS by October 1st
- We participate in the AMIA Match (Mid-December), facilitating a streamlined application process for prospective fellows. Link
Program Contacts
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 TechnologyLecturer
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
Assistant Professor of Emergency Medicine and Biomedical Informatics and Data Science
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.Assistant Clinical Professor, General Internal Medicine; Clinical Informatician, Biomedical Informatics & Data Science; Medical Director, Digital Technology Solutions, Yale New Haven Health System
Lecturer in Biostatistics (Health Informatics); Director of Informatics, Clinical and Translational Research Accelerator (CTRA); Medical Information Officer for Research, Yale New Haven Health System, 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.