Pilot randomized trial finds EHR-integrated decision support improved clinicians’ prediction of school-age asthma Jul 14, 2026 A machine learning tool that analyzes information already captured in a child’s electronic health record helped pediatricians more accurately assess asthma risk in standardized clinical case scenarios, according to a pilot randomized clinical trial led by a Regenstrief Institute researcher. The study was published in Scientific Reports. The study eva

Jackie Maupin | Jul 08, 2026 An IU School of Medicine study suggests health records could help identify young children who may benefit from earlier, more personalized asthma treatment. | Tomsickova - stock.adobe.com Preschool-aged children with high-risk asthma had substantially fewer severe asthma attacks after starting combination inhaler therapy, according to a new Indiana University School of Medicine study published in Pediatric Allergy and Immunology Using real-world h

Mar 4, 2026 Published in Annals of the American Thoracic Society. Here is a link to the article. Regenstrief Institute author: Arthur H. Owora, PhD, MPH The information below was provided by Dr. Owora. Limited real-world evidence on pediatric asthma biologics Robust real-world data on the effectiveness of biologic therapies in children with severe asthma remain limited, particularly across different ages and early-life risk profiles. This evidence gap constrains precision