Webinar Center

December Webinar

Description

Artificial intelligence is rapidly transforming hospital operations, clinical decision-making, and patient care delivery—but are your compliance and accreditation programs keeping pace? As AI tools proliferate across healthcare settings, accreditation bodies and regulators are developing new standards and expectations for how hospitals govern, validate, and monitor these technologies.

This webinar is designed specifically for hospital compliance officers, quality leaders, accreditation coordinators, and regulatory affairs professionals who need to understand how AI intersects with their accreditation responsibilities. You'll learn how current CMS Conditions of Participation apply to AI systems, what emerging regulatory frameworks mean for your hospital, and how to build a defensible AI governance program that aligns with accreditation standards.

We'll cut through the technical jargon to focus on what matters most to accreditation professionals: documentation requirements, policy development, risk mitigation, and survey readiness. You'll leave with practical tools including an AI inventory template, governance committee framework, and a 30-day action plan to strengthen your hospital's AI compliance posture before surveyors come knocking.

Whether your hospital is just beginning to implement AI or already has multiple systems in operation, this session will help you identify gaps, establish oversight mechanisms, and prepare for the next generation of accreditation standards. Don't wait until AI becomes a survey finding—get ahead of the curve and position your organization as a leader in responsible AI adoption.

Ideal for: Compliance officers, quality directors, accreditation coordinators, risk managers, patient safety officers, and healthcare administrators responsible for regulatory readiness at acute care hospitals, critical access hospitals, and psychiatric facilities.

Learning Objectives
By the end of this webinar, participants will be able to:

1. Identify and assess AI technologies within their hospital that intersect with existing CMS Conditions of Participation and accreditation standards, including patient rights, quality assurance, and patient safety requirements.
2. Describe the key components of an AI governance framework that aligns with accreditation expectations, including clinical validation, bias monitoring, documentation standards, and human oversight requirements.
3. Outline immediate next steps for establishing AI oversight in their organization, including conducting an AI inventory, forming a governance committee, and prioritizing policy development areas.