Grand Rounds: AI and Informatics in Pediatric Health Today: From Promise to Practice

Objectives (Educational Content) :

1. Describe major current applications of AI and clinical informatics in pediatric health care, including clinical decision support, population health, and research.

2. Identify practical considerations for evaluating and deploying AI-enabled tools in children’s hospitals, including risk assessment, clinician oversight, data quality, and post-implementation surveillance.

3. Discuss how pediatric health systems can build informatics infrastructure that supports responsible AI use across clinical care, quality improvement, and research.

Target Audience:

General pediatricians, family physicians, nurse practitioners, physician assistants, social workers, psychologists, and nurses.

Identified Gap:

There is a gap between the growing availability of AI and clinical informatics tools in pediatric health care and clinicians' and health system leaders' ability to effectively evaluate, implement, and monitor these technologies in practice. Many healthcare professionals lack sufficient knowledge of current AI applications, competence in assessing risks, data quality, and oversight requirements, and the systems-based strategies needed to build infrastructure that supports responsible AI use across clinical care, quality improvement, and research. As a result, opportunities to improve patient outcomes, operational efficiency, and evidence-based decision-making may not be fully realized.

Estimated Time to Complete the Educational Activity:

1 hour(s)

Expiration Date for CE/CME Credit:

07-16-2027

Method of Participation in the Learning Process:

The learner will view the presentation, successfully complete a post-test and complete an activity evaluation.

Evaluation Methods:

All learners must successfully complete a post-test, as well as an activity evaluation, to claim CE/CME credit.

Disclosure:

The speaker has returned the disclosure form, indicating that the following financial relationships with ineligible companies: Glooko-not relevant to content of education; Dexcom-relationship ended; Sanofi-relationship ended. All financial relationships have been mitigated. The following CME Committee/Planning Committee member(s) has the following financial relationships with ineligible companies to disclose: Merck - Maria Cristina Victorio, MD All financial relationships have been mitigated.

Accreditation Statement:

Children’s Hospital Medical Center of Akron is accredited by the Ohio State Medical Association to provide continuing medical education for physicians.

CHMCA designates this enduring material activity for a maximum of 1.0 AMA PRA Category 1 Credit TM.  Physicians should only claim the credit commensurate with the extent of their participation in the activity.

Bibliography:

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2. Shao MM, Scheideman AF, Kerr D, Wong TY, Espinoza J, Shah SN, Al-Sofiani ME, Beecy AN, Bruno D, Healey E, Mathioudakis N, Sheng B, Snyder MP, Tham YC, Klonoff DC. Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease. J Transl Med. 2026 Feb 25. doi: 10.1186/s12967-026-07774-2. Epub ahead of print. PMID: 41742228.

3. Qazi IA, Ali A, Khawaja AU, Akhtar MJ, Sheikh AZ, Alizai MH. Automation Bias in Large Language Model–Assisted Diagnostic Reasoning among Physicians Trained in AI Literacy — A Randomized Clinical Trial. NEJM AI. 2026;3(5):AIoa2501001. doi:10.1056/AIoa2501001