Fellowship in Clinical Informatics

1. Medical degree and completion of clinical training required for eligibility in a recognized medical specialty.
2. Board certification or board eligibility in a specialty recognized by the American Board of Medical Specialties.
3. Interest in clinical informatics, digital health, health information technology, and healthcare improvement.
4. Ability to participate in clinical informatics rotations, research, educational activities, and operational projects.
5. Submission of a curriculum vitae, personal statement, and three letters of reference.
6. Willingness to complete the two-year program and meet its clinical and academic requirements.

The Clinical Informatics Fellowship at Yale School of Medicine is a two-year, accredited program that prepares physicians to improve healthcare through technology, data, and information systems. Fellows train across Yale New Haven Health and the Veterans Affairs Connecticut Healthcare System, gaining experience in electronic health records, clinical decision support, data analysis, quality improvement, and health information technology. The curriculum combines practical rotations, classroom instruction, research, and leadership development. Fellows work with faculty and healthcare teams on projects that improve clinical workflows and patient care. An optional Master of Health Sciences in Clinical Informatics and Data Science provides additional academic training.

1. Applicants should confirm that they meet the medical training and board-certification or board-eligibility requirements.
2. Prepare a curriculum vitae, personal statement, and three letters of reference.
3. Submit the application through the Electronic Residency Application Service and participate in the applicable American Medical Informatics Association fellowship match.
4. The published program materials have listed October 1 as an application deadline, followed by the match in December. Applicants should confirm the current cycle’s deadlines and requirements with the program before applying.