As a pediatric pulmonologist, I care for children and adolescents with rare lung diseases and those with chronic respiratory failure who are dependent on a ventilator. I appreciate the deep commitment that families and providers have to children with complex chronic healthcare needs, and I share that commitment.
In my practice, I embrace a data-driven approach and try to identify a scientific or physiologic rationale for decision-making. At the same time, I recognize that every family and child is different, and when we ask families to provide so much care for complex patients, we need to factor in their beliefs and opinions. From a research perspective, I enjoy the challenge of finding solutions to improve the outcomes for my patients.
I received quality improvement training as a clinical fellow through the Quality Scholars Program in Healthcare Transformation at Cincinnati Children’s. I also completed a master's degree in clinical and translational research with a focus on data science and informatics. I am trying to merge these training experiences and interests in my research, which aims to improve care and outcomes for children on chronic ventilator support. I appreciate hearing about unexpected problems or challenges faced by the families of these children and potential solutions.
When I’m not at work, I enjoy spending time with my family. My wife is a physician at the University of Cincinnati, and we have two young daughters.
MD: Jefferson Medical College, Philadelphia, PA, 2012.
Residency: Pediatrics, Lurie Children’s/Northwestern University, Chicago, IL, 2015.
Chief Residency: Pediatrics, Lurie Children’s/Northwestern University, Chicago, IL, 2016.
Fellowship: Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2019.
MS: Clinical and Translational Research, University of Cincinnati, Cincinnati, OH, 2019.
Pulmonary medicine; chronic respiratory failure; rare lung diseases
Pulmonary Medicine, Rare Lung Diseases
Chronic respiratory failure; machine learning; learning health systems; quality improvement
Biomedical Informatics
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Pediatric Nirmatrelvir/Ritonavir Prescribing Patterns During the COVID-19 Pandemic. 2022.
Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study. JMIR Medical Informatics. 2022; 10.
Pediatric and Congenital Cardiovascular Disease Research Challenges and Opportunities: JACC Review Topic of the Week. Journal of the American College of Cardiology. 2022; 80:2239-2250.
Clinical Features and Burden of Postacute Sequelae of SARS-CoV-2 Infection in Children and Adolescents. JAMA Pediatrics. 2022; 176:1000-1009.
Improving Home Ventilator Alarm Use Among Children Requiring Chronic Mechanical Ventilation. Pediatrics. 2022; 149.
To Join or Not to Join (A Health Data Collaboration): An Opportunity for Improvement. Journal of Pediatrics. 2022; 243:4-6.e1.
Severity of Acute COVID-19 in Children <18 Years Old March 2020 to December 2021. Pediatrics. 2022; 149.
Behavioral Health Diagnoses in Youth with Differences of Sex Development or Congenital Adrenal Hyperplasia Compared with Controls: A PEDSnet Study. Journal of Pediatrics. 2021; 239:175-181.e2.
Nathan Pajor, MD, Tracy A. Glauser, MD11/23/2020
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