GE HealthCare has launched HelloAI, a free training program designed to help healthcare professionals build practical understanding of artificial intelligence and how to apply it safely in clinical settings. The offering includes more than 20 hours of on-demand learning, instructor-led webinars and case-based modules aimed at clinicians, researchers and health system leaders.
Bridging the Healthcare AI Literacy Gap
The Growing Need for AI Understanding
Use of AI tools in medicine is increasing rapidly, while formal training for clinicians has not kept pace. The American Medical Association has highlighted that AI adoption is rising faster than educational opportunities, creating a gap in skills that can affect workflow, decision making and patient safety.
What “AI Fluency” Means for Clinicians
AI fluency goes beyond basic awareness. It means recognizing when an algorithm can add value, understanding common sources of bias, interpreting model outputs, and maintaining human oversight. Clinicians with AI fluency can evaluate tool validity, integrate predictions into care pathways responsibly and communicate limitations to patients and colleagues.
About the HelloAI Program
Training Content and Access
HelloAI bundles introductory courses with practical modules on clinical workflows, data stewardship, bias mitigation and regulatory considerations. Content formats include self-paced lessons, short case studies, and live or recorded webinars led by subject matter experts. GE HealthCare positions the curriculum to be broadly accessible so that students, practicing clinicians and health IT professionals can start learning without financial barriers.
Start Your AI Journey
For healthcare professionals wanting to strengthen applied AI skills, HelloAI offers a no-cost entry point. Visit GE HealthCare’s website and search for HelloAI to enroll. Building AI fluency can help teams use tools more safely, improve efficiency and support better patient outcomes. HealthAI Insiders will track adoption and share notable curriculum updates and user experiences as they emerge.
