Young J Juhn MD MPH, ABCI (He/Him)

Clinical Informatics

Professor, Pediatrics and Clinical informatics, Mayo Medical School

200 1st St SwRochester, MN 55905
Phone+1 507-284-2511

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Education & Training

Yale University School of Public Health MPH, Clinical epidemiology and health policy and administration , 1997 - 1999
Yale School of MedicineFellowship, 1996 - 1999
Hurley Medical Center/Michigan State UniversityResidency, Internal Medicine/Pediatrics, 1992 - 1995
Seoul National University College of MedicineClass of 1989

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Certifications & Licensure

CA State Medical License 1996 - Present
MN State Medical License 1999 - 2027
CT State Medical License 1996 - 1999
MI State Medical License 1994 - 1998
WA State Medical License 1994 - 1995
American Board of Pediatrics Pediatrics
American Board of Preventive Medicine Clinical Informatics

Awards, Honors, & Recognition

CMS Meaningful Use Stage 2 Certification Mayo Clinic Electronic Notes, Mayo Clinic, 2015-2017
CMS Meaningful Use Stage 2 Certification Centricity Patient Online, GE Healthcare, 2015-2017
CMS Meaningful Use Stage 2 Certification Mayo Clinic Incorporate Lab Results, Mayo Clinic, 2015-2017

Publications & Presentations

PubMed

Beyond biological risk: socioeconomic vulnerability and adverse pediatric kidney transplant outcomes.
Sarah Kizilbash, Chung-Ii Wi, Sandra Amaral, Madison Beenken, David Watson
Pediatric Nephrology. 2026-10-01
Differential associations of individual- and neighborhood-level socioeconomic status with mortality in dementia: Findings from the Mayo Clinic Study of Aging.
Jie Lin, Maria Vassilaki, Jennifer St Sauver, Ronald C Petersen, Chung Il Wi
Journal of Alzheimer's Disease. 2026-09-03
A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the...
Chung-Il Wi, Shauna Overgaard, Momin Malik, Dave Watson, Deepak Sharma
Journal of the National Medical Association. 2026-08-01

Authored Content

A Primary Care-Ent Initiative to Improve Value for Children with Middle Ear DiseaseJanuary 2018
A Primary Care-Ent Initiative to Improve Value for Children with Middle Ear DiseaseJanuary 2018

Press Mentions

AI Tool Flags Childhood Asthma Subgroup at Highest ARI RiskDecember 2nd, 2025
Mayo Clinic Study Uses AI to Predict Which Children Are at Risk of Severe AsthmaSeptember 24th, 2025
Mayo Clinic’s AI Tools Help Predict Severe Asthma Risks in Young ChildrenSeptember 23rd, 2025

Grant Support

Addressing differential performance by socioeconomic status in Artificial Intelligence (AI) models for childhood asthmaMAYO CLINIC ROCHESTER2025–2029
Improving the Risk Adjustment Method for Quality Care Measures through Application of an Innovative Individual-Level Socioeconomic MeasureMAYO CLINIC ROCHESTER2021–2025
Identification and characterization of children with asthma-associated comorbidities through computational and immune phenotypingMAYO CLINIC ROCHESTER2015–2025
Individual Housing Data And Socioeconomic StatusEunice Kennedy Shriver National Institute Of Child Health &Human Development2006–2007
Asthma And Invasive Pneumococcal DiseaseNational Institute Of Allergy And Infectious Diseases2005–2006