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Shahnaz Duara, M.D.

Shahnaz Duara, M.D.

Department:

Pediatrics

Division:

Neonatology

Shahnaz Duara, M.D.

Roles

  • Professor of Clinical Pediatrics

  • Biography

    Dr. Shahnaz Duara is a senior faculty in the Division of Neonatology and is responsible for the duties listed above. Administratively, Dr. Duara assists the division director as needed and serves as liaison to OB, Holtz administration, and several other services they collaborate with, most recently with the newly reorganized Fetal Surgery program. Dr. Duara has a significant track record with multicenter research, mostly NIH-funded, and is still active in collaborative research. Quality and benchmarking are natural outgrowths of her activities, and she is the center PI for two international collaboratives, the Vermont-Oxford Neonatal Registry (NICU) and ELSO (Holtz).

  • Education & Training

    Education

    • 1974
      University of Madras
      MD
    • 1974
      Christian Medical College (CMC), Vellore, Tamilnadu, India, accredited by the University of Madras
      MD, Medical School

  • Teaching Interests

    Dr. Duara teaches clinical Neonatology to medical students, Pediatric & Med-Peds residents, and Neonatology Fellows. She runs the division's QI program, and in that role guide junior faculty, fellows and NICU staff into suitable projects. As medical director of a NICU, Infection Control is central to good outcomes, and has been a corner piece of her role over the past several years - with the Covid-19 pandemic. Dr. Duara became the leader of the NICU response and helped develop guidelines for the institution. Research-wise this led to collaboration with OB as well as other divisions in Pediatrics, and both publications and grant applications have ensued from these efforts.

  • Research Interests

    Dr. Duara continues to be active in multidisciplinary and multicenter research as it relates to sick neonates; at this time, perinatal Covid-19 is driving several of the active projects.

  • Publications

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    Disclaimer: Information presented in this section has been consolidated using AI and machine learning technologies. While every effort has been made to ensure accuracy, errors may occur. If you identify any inaccuracies, use this link to inform our data team. Your feedback is appreciated and helps us improve the quality of our content.