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Clinical Informatics

Nationally Distinguished | System-Level Impact | Personalized Mentorship

The Yale/VA ACGME-accredited Clinical Informatics Fellowship is a premier two-year training program open to ABMS board-certified and board-eligible physicians pursuing ABPM board certification in Clinical Informatics. With training sites at Yale New Haven Health and the VA Connecticut Healthcare System, fellows benefit from exposure to two distinct, high-performing health systems—each with its own technology stack, governance structure, and innovation culture. This dual-system approach offers unmatched depth and breadth in operational informatics training.

Fellows engage directly with an extraordinary community of faculty who are national leaders in both research and applied clinical informatics. Our program provides an exceptional training environment that strikes a balance between rigorous hands-on learning and individualized mentorship and career development. While many of our fellows come in with strong backgrounds in research and computational or programming skills, these are not required.

Program Structure

Year 1: Immersive Core Training
The first year emphasizes foundational knowledge and hands-on experience. Fellows work closely with operational teams and faculty across both the Yale and VA systems, learning to navigate the complex landscape of clinical workflows, EHR design, and digital governance. Fellows gain exposure to key informatics domains including data science, machine learning, human factors, clinical decision support, and implementation science.

Year 2: Advanced Leadership and Specialization
The second year builds on this foundation through advanced projects, leadership roles, and opportunities to tailor the experience to individual career goals. Fellows present at national meetings such as AMIA and often lead strategic initiatives that position them for high-impact roles in healthcare delivery, digital health, academia, or industry.

Distinctive Strengths of the Yale/VA Program

  • Yale New Haven Health System: As one of the largest academic health systems in the Northeast, YNHHS provides exposure to enterprise EHR governance, population health, digital health innovation, and complex clinical operations, including quaternary care and trauma.
  • Veterans Health Administration: Fellows gain access to the VA’s Corporate Data Warehouse and participate in informatics initiatives with national scope—offering unique insight into large-scale data, security, and interoperability at a federal level.
  • High-Touch Mentorship & Immersive Training: Fellows receive close mentorship from informatics leaders across Yale New Haven Health and the VA, with frequent, shoulder-to-shoulder training in clinical data science and programming. Weekly lab meetings with the program director foster a collaborative learning environment, while ongoing guidance from operational and research faculty—across emergency medicine, internal medicine, pediatrics, biomedical informatics & data science, and more—ensures fellows gain both strategic perspective and technical depth.
  • Optional Master’s Degree: Fellows have the opportunity to apply to Yale’s Master of Health Sciences in Clinical Informatics & Data Science (MHS-CIDS) program. Designed for clinicians seeking formal training in biomedical informatics and AI, this track integrates core coursework in data science, machine learning, and informatics with mentored research. The program equips fellows with the analytical and computational tools needed to lead innovation in clinical care and digital health.

Application Process

  • Apply via ERAS by October 1st
  • We participate in the AMIA Clinical Informatics Fellowship Match (mid-December)

Sample Schedule

Current Fellows

Former Fellows

  • Naga Sasi Kanaparthy, MBBS, MPH, MHS
  • Instructor of Biomedical Informatics and Data Science

    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, computer vision, and simulation. He completed his MD degree at the Yale University School of Medicine and residency in Internal Medicine – Pediatrics also at Yale. After residency, he completed a Clinical Informatics fellowship in the ACGME Yale/VA program and a postdoctoral fellowship in the VA Biomedical Informatics program. He is an Instructor in the Department of Biomedical Informatics and Data Science and Department of Pediatrics. The Loza Lab focuses on development of statistical and deep learning methods to leverage Real-World Data to improve clinical care with a focus on multimodal medical foundation models.
  • 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.