Responsible AI for Regulated Healthcare

Responsible AI for Regulated Healthcare Environments is an advanced leadership and management course designed for healthcare, technology, compliance, product, clinical, and AI leaders who are responsible for deploying AI safely in regulated US healthcare settings. The course teaches how to move beyond AI experimentation and build an enterprise-grade Responsible AI operating model that aligns innovation with patient safety, privacy, clinical oversight, regulatory expectations, audit readiness, and measurable business value. Learners explore how to classify AI use cases by risk, establish governance forums, define accountable ownership, validate models before production, manage bias and health equity, protect PHI, oversee vendors, monitor incidents, and create audit-ready evidence throughout the AI lifecycle. By the end of the course, learners will understand how to lead AI programs that are not only technically strong, but also safe, explainable, compliant, trusted by clinicians, and ready for real-world healthcare operations. This course is especially relevant for leaders working across payer, provider, health IT, clinical decision support, claims, care management, utilization management, revenue cycle, and AI-enabled healthcare platforms.