Related Experiment Videos
The pediatric AI readiness framework: bridging evidence to practice in pediatric artificial intelligence
Emre Sezgin1,2, Samantha Boch3,4
1Center for Biobehavioral Health, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Insights
The Pediatric AI Readiness (PAIR) Framework helps integrate artificial intelligence (AI) into children's healthcare. This checklist ensures AI tools are ethically and effectively implemented for better pediatric patient outcomes.
Area of Science:
- Pediatric Healthcare Technology
- Clinical Informatics
- Artificial Intelligence in Medicine
Background:
- Artificial intelligence (AI) offers significant potential for advancing pediatric healthcare, including early diagnosis and personalized treatments.
- However, the unique needs of children require a specialized approach for AI integration in healthcare settings.
- Existing AI guidance often overlooks the specific challenges of implementing these technologies in pediatric environments.
Purpose of the Study:
- To introduce the Pediatric AI Readiness (PAIR) Framework, a checklist designed for evaluating and implementing AI tools in pediatric healthcare.
- To support clinicians, leaders, regulators, and developers in the responsible adoption of AI in pediatric settings.
- To bridge the gap between AI innovation and its practical, ethical application in child healthcare.
Main Methods:
- Development of the Pediatric AI Readiness (PAIR) Framework, a pediatric-focused implementation-readiness checklist.
- Organization of readiness considerations into seven key domains: ethics, data representativeness, validation, workflow, economics, adaptability, and reporting.
- Focus on institutional and workflow readiness for real-world AI tool deployment.
Main Results:
- The PAIR Framework provides a structured approach to AI implementation readiness in pediatric care.
- It addresses critical areas such as ethical governance, data representativeness, rigorous validation, and workflow integration.
- The framework emphasizes child-centric design and collaborative governance for responsible AI application.
Conclusions:
- The PAIR Framework is essential for the safe and effective integration of AI in pediatric healthcare.
- Prioritizing child-specific considerations ensures AI tools meet the unique needs of young patients.
- Responsible AI implementation through frameworks like PAIR can lead to improved pediatric health outcomes and futures.
Abstract:
Artificial intelligence (AI) presents a transformative opportunity for pediatric healthcare, promising advancements in early diagnosis, personalized treatment, and operational efficiency. However, the unique developmental, physiological, and ethical considerations inherent to children necessitate a specialized approach to AI integration. This study introduces the Pediatric AI Readiness (PAIR) Framework-a pediatric-focused implementation-readiness checklist intended to support clinicians, health system leaders, regulators, and developers as they plan, evaluate, and operationalize AI tools in pediatric settings. PAIR complements existing AI development, evaluation, and reporting guidance by focusing on institutional and workflow readiness for real-world use. It organizes readiness considerations across seven domains: ethics and governance, population and data representativeness, validation and testing, workflow integration, economic and sustainability analysis, low-resource adaptability, and transparent reporting. By prioritizing child-centric design, rigorous validation, and collaborative governance, the PAIR framework aims to bridge the critical gap between AI innovation and its responsible application, fostering improved design and healthier futures for children.
Related Concept Videos
01:30Current Trends in Nursing II
01:29Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...