From Playbook to Practice: How Leading Children’s Hospitals Are Scaling Responsible AI Implementation

Presentation Type: Panel
Presentation Time: 08:00 AM - 09:15 AM

Abstract Keywords: Generative AI in Clinical Workflow: Ambient Listening, Chart Summarization, Automated Response with LLM, Analytical Artificial Intelligence: ML, Digital Pathology, Imaging AI, Predictive Analytics, Governance, Change Management, Clinician Well-Being
Primary Track: Big Data for Health


As AI moves from pilots to enterprise deployment, pediatric health systems must implement tools that are safe, equitable, and operationally sustainable. This panel brings together leaders from Children’s Hospital of Philadelphia, Boston Children’s Hospital, and Children’s Healthcare of Atlanta to share reproducible models for responsible AI integration and to outline practical steps for scaling effective solutions. Panelists will describe institutional strategies spanning governance, Epic-integrated validation, workflow redesign, post-deployment monitoring, and evidence-based evaluation.
Case studies will include message summarization, clinical deterioration prediction, pediatric sepsis detection, and rapid-cycle randomized trials of AI scribes—demonstrating how children’s hospitals are using structured experimentation to determine real-world impact. The session will also highlight features unique to pediatrics, including developmental considerations, family-centered decision-making, and evolving consent and privacy norms for adolescents, all of which influence risk assessment, model design, and workflow adoption.
By comparing governance structures, measurement approaches, validation processes, and pathways for enterprise-level expansion, the panel will identify shared patterns that support trustworthy and sustainable implementation. Attendees will gain practical guidance for assessing new AI tools, integrating Epic-embedded capabilities, monitoring for safety and equity concerns, and establishing cross-disciplinary partnerships that accelerate institutional readiness. The session will emphasize the importance of transparent communication, iterative evaluation, and scalable operational infrastructure in ensuring that pediatric AI tools deliver consistent clinical, operational, and experiential value.
At a time when health systems are rapidly adopting GenAI yet lack practical frameworks for implementation, this panel provides actionable strategies and shared standards to guide children’s hospitals in building reliable, high-impact pediatric AI ecosystems.

Moderator:
Jess Boyle, BS
Children's Hospital of Philadelphia

Speaker(s):
Greg Lawton, MD
Children's Hospital of Philadelphia

Stephon Proctor, PhD, MBI, ABPP
Children's Hospital of Philadelphia

Chase Parsons, DO, MBI
Boston Children's Hospital

Evan Orenstein, MD
Children's Healthcare of Atlanta

Author(s):
Greg Lawton, MD - Children's Hospital of Philadelphia; Stephon Proctor, PhD, MBI, ABPP - Children's Hospital of Philadelphia; Chase Parsons, DO, MBI - Boston Children's Hospital; Evan Orenstein, MD - Children's Healthcare of Atlanta;

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