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URMC/Strong Memorial Hospital is seeking ANCC Magnet Recognition Program® reaccreditation. Public feedback is welcome. Learn More

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Heather Reyes, M.D., M.Eng.

Heather Reyes, M.D., M.Eng.

Pediatrics, Pediatric Critical Care

UR Medicine Faculty The University of Rochester Medical Faculty Group (URMFG) consists of over 900 specialist and primary care providers spanning 19 departments. URMFG is certified by the National Committee for Quality Assurance.
Accountable Health Partner Accountable Health Partners (AHP) is a network of over 2,000 community and UR medical faculty and a dozen leading hospitals throughout the region. AHP offers a full range of care.
Accepting New Patients

Contact

Office (585) 275-8138
Fax (585) 276-2627

About Me

I am interested in the management of hospitalized acutely critically ill children.

Faculty Appointments

Assistant Professor - Department of Pediatrics, Critical Care (SMD)

Credentials

Residency & Fellowship

Fellowship, Strong Memorial Hospital/University of Rochester. 2018 - 2020

Fellowship, Pediatric Critical Care Medicine, Golisano Children's Hospital-University of Rochester. 2015 - 2018

Fellowship, Pediatric Critical Care Medicine, Golisano Children's Hospital-University of Rochester. 2015 - 2018

Residency, Pediatrics, Golisano Children's Hospital-University of Rochester. 2013 - 2015

Internship, Pediatrics, Golisano Children's Hospital-University of Rochester. 2012 - 2013

Residency, Pediatrics, Golisano Children's Hospital-University of Rochester. 2012 - 2015

Education

MD | Temple University School of Medicine. 2012

Awards

Society of Critical Care Medicine Star Research Achievement Award. 2018

Four Strong Stars - Rewarding Outstanding Patient Care. 2012

Outstanding Biomedical Engineering Award – awarded to one graduating BME student for excellence in scholarship.. 2008

Summer Student Fellowship – National Arthritis Foundation. 2007

Tau Beta Pi – National engineering honors fraternity. 2007

Theta Alpha Phi – Theater honors fraternity. 2006

Research

My research interest is use of machine learning and data analytics to improve alarm fatigue.