Advancing High-Value Pediatric Care: Using Data, AI, and Family Engagement to Improve Outcomes

Description:

Delivering high-value pediatric care requires using the right information at the right times with families as true partners in care. Health systems are implementing data-driven clinical decision support, AI-enabled analytics, and family-facing digital tools such as inpatient portals to better support care delivery. These innovations help address variability in treatment responses, promote smarter use of tests, support shared decision making, and enhance transparency and family engagement during pediatric hospitalizations. AHRQ’s expert panel explored how these innovations are applied within pediatric clinical workflows to improve outcomes while advancing more efficient, family-centered care.

Learning Objectives:

1. Discuss challenges in managing pediatric chronic conditions with respect to variability in treatment responses and explore visual approaches to support patient-centered decision making.
2. Apply insights from machine learning–based clinical decision support (CDS) tools to pediatric clinical workflows to improve care delivery.
3. Describe how inpatient portals support parent engagement and patient safety during pediatric hospitalizations. 
    

Eligible providers can earn up to 1.5 CE/CME contact hours for participating in the live webinar. 

If you have questions, please contact DigitalHealthcareResearch@ahrq.hhs.gov.