
Khyzer Bin Izhar Aziz, MD
Neonatology
Highlights
Johns Hopkins Affiliations:
- Johns Hopkins School of Medicine Faculty
About Khyzer Bin Izhar Aziz
Professional Titles
Chief Medical Information Officer, Johns Hopkins Children's Center
Primary Academic Title
Assistant Professor of Pediatrics
Johns Hopkins Physician
Background
Khyzer Aziz is a neonatologist at Johns Hopkins Children’s Center in Baltimore, Maryland, specializing in the diagnosis and treatment of premature babies or newborns with high-risk or complex health conditions. Dr. Aziz is also an assistant professor of pediatrics and general internal medicine at the Johns Hopkins University School of Medicine. He began his academic journey at the University of Florida College of Medicine. Later, he received training at the Jacobi Medical Center in New York, and completed a fellowship in pediatrics at the Johns Hopkins University School of Medicine, before officially joining the faculty in 2020.
In addition to being a neonatologist, Dr. Aziz is highly innovative and skilled in the latest medical and technological advances. He is director of the Johns Hopkins NICU Precision Medicine Center of Excellence, associate director of the Master of Science in Applied Health Sciences Informatics Programs in Biomedical Informatics and Data Science, and is the chief medical information officer (CMIO) for Johns Hopkins Children’s Center. Dr. Aziz is a designated researcher for the Johns Hopkins AI-X Foundry, an organization that provides the framework and support infrastructure for artificial intelligence and data science efforts across the Johns Hopkins institutions. Along with his expertise in machine learning, data science and ethics, he is a member of the Johns Hopkins Medicine Artificial Intelligence Task Force. As the CMIO for Johns Hopkins Children’s Center, Dr. Aziz focuses on using emerging technologies, such as generative AI, in health care to help transform how high-quality, cutting-edge care is delivered to patients and their families in today’s increasingly digital world.
Additional Academic Titles
Assistant Professor of Medicine
Research Interests
Neonatal Precision Medicine; Clinical Decision Support Tools; Generative Artificial Intelligence; Ethics; Federated Learning; Limits of Viability; Shared Decision Making & Critical Care Communication
Research Summary
Dr. Aziz’s research involves using complex information found in electronic medical records and national registries/databases to provide clear, cohesive and concise information for patients, families and clinicians that can be used for clinical decision-making and neonatal precision medicine.
With his research team, he is pioneering processes for nuanced automated neonatal data collection locally and globally using the OHDSI/OMOP common data model. This team has secured several big grants, including funding to establish Maternal Health Research Centers of Excellence and the Center for Disease Control’s Pregnant People-Infant Linked Longitudinal Surveillance grant.
Additionally, Dr. Aziz is developing and validating neonatal-specific severity of illness metrics: the neonatal sequential organ failure assessment (nSOFA) score and the vasoactive-inotropic score (VIS). He has published this work in high-impact, peer-reviewed journals. His research group is funded by intramural, extramural and industry grants.
Dr. Aziz’s overarching aim is to bridge medical expertise with emerging technologies to enhance pediatric care. Specifically, he seeks to streamline and integrate technological processes, enhance pre- and postnatal counseling and quality improvement initiatives, and develop predictive models for individual disease processes. His ultimate goal is to create cost-effective predictive models that achieve the best patient- and family-centered outcomes.
Honors
- inHealth Dean Accelerator Award, 2022.
- Dr. Omolara Olaniyan Fellow Appreciation Award, 2020.
- Pregnancy Related Care Research Network (PRCRN) Featured Trainee, 2019
- Exceptional Service to the Department of Pediatrics Award – New York City Health & Hospital (NYCHH) – Jacobi, 2017.
- Chief Resident Award for Excellence in Medical Student Teaching – NYCHH, 2017.
- Letter of Recognition for Excellence in Medical Student Teaching – NYCHH, 2016.
- Resident Award for Excellence in Medical Student Teaching -NYCHH, 2015.
- Resident Award for Excellence in Medical Student Teaching – NYCC, 2014.
Memberships
- Founding Member of NeoMIND-AI & Chair of the Big Data Committee; National Consortium of Neonatal Centers across the USA, 2023 - Present.
- Johns Hopkins Medicine Artificial Intelligence Task Force; Johns Hopkins University, Baltimore, MD, 2023 - Present
- Coalition for Healthcare AI (CHAI), 2023 - Present
- Perinatal Research Society – Associate Member,2022 - Present
- Society of Pediatric Research – Junior Member, 2018 - Present
Locations
- Johns Hopkins Bayview Medical Center
- 4940 Eastern Avenue, Baltimore, MD 21224
- phone: 410-550-0100
- fax: 410-550-0101
- The Johns Hopkins Hospital
- 1800 Orleans Street, Baltimore, MD 21287
- phone: 410-955-5000
- fax: 410-955-5001
Expertise
Education
Johns Hopkins University School of Medicine
Fellowship, Pediatrics, 2020Jacobi Medical Center
Residency, Pediatrics, 2017University of Florida
Medical Education, MD, 2013Board Certifications
Neonatal-Perinatal Medicine
American Board of Pediatrics, 2022Pediatrics
American Board of Pediatrics, 2017Insurance
- Aetna
- CareFirst
- Cigna
- First Health
- Geisinger Health Plan
- HealthSmart/Accel
- Humana
- Johns Hopkins Health Plans
- MultiPlan
- Pennsylvania's Preferred Health Networks (PPHN)
- Point Comfort Underwriters
- Private Healthcare Systems (PHCS)
- UnitedHealthcare
- Veteran Affairs Community Care Network (Optum-VACCN)