Introduction to AI for Everyday Care

Description

Pediatric practice is increasingly shaped by new digital tools, yet most clinicians are being asked to use artificial intelligence (AI) without clear guidance on what it actually is, when it helps, or when it creates risk.

This introductory, asynchronous course is designed to help pediatricians clinicians make sense of AI in practical and, clinical context. Participants will learn how AI can support clinical judgment and patient care by helping with common workflow challenges such as documentation, patient education, communication tasks, and clinical decision-making. Along the way, the course clarifies the difference between traditional AI and generative AI (GenAI), introduces simple strategies for interacting effectively with AI tools, and builds confidence in evaluating when AI use is appropriate.

Grounded in real pediatric scenarios, the course emphasizes thoughtful adoption. Learners will explore where AI performs well, where it struggles, and why pediatric care requires particular attention to safety, bias, developmental nuance, and attributes of entrustment trust. Practical examples, including emerging tools such as ambient documentation systems, while illustrating meaningful successes and failures, considering its limitations, safety, ethical aspects.

By the end of the course, clinicians will leave with a clear mental framework and concrete, low-risk ways to begin incorporating AI responsibly to reduce administrative burden, strengthen communication with families, and protect time for what matters most: caring for children.

By the end of this activity, learners will be able to:

1. Distinguish between artificial intelligence (AI) and generative AI (GenAI) using examples relevant to pediatric clinical practice.
2. Recognize appropriate, low-risk ways AI can support workflows pertaining to pediatrics, including documentation, communication, and patient education tasks.
3. Use simple prompting strategies to guide AI tools toward clinically useful outputs while maintaining appropriate clinician oversight.
4. Identify situations in which AI use may introduce risk by considering safety, ethics, bias, trust, and pediatric-specific factors.
5. Critically evaluate AI-generated tools and its content for accuracy, appropriateness, and safe use with children and families.
6. Develop a personal approach for responsibly integrating AI into daily clinical practice and advocating for pediatric-specific product design and implementation.

Course Details

• Start Date: June 5, 2026
• Online Access Expires: June 4, 2029
• Credit Expires: June 4, 2029
• Course ID: 62537

Faculty

Subject Matter Experts

• Jennifer Benjamin, MD, MS
• Amy Molten, MD
• Srinivasan Suresh MD, MBA, FAAP

Course Reviewer

• James Barry, MD, MBA