Health Plan Accreditation 201: Implementation - AI Standards

About this Learning Activity

Health Plan Accreditation 201: Implementation – AI Standards

This learning activity focuses on the Artificial Intelligence (AI) standards for Health Plan Accreditation. Through these learning modules, participants are provided with guidance to interpret the requirements, navigate the standards, and avoid misconceptions. Participants are also provided examples that may or may not comply with the intent of the standards. The NCQA Health Plan Publication related to this training may be accessed through the NCQA Store.

Learning materials for this course will be available in September 2026.

Product Alignment

This course is included for the Health Plan Accreditation Readiness Package for up to two (2) registrants per health plan. Readiness Package customers that need more than two (2) registrants must purchase additional registrations through this webpage.

EARLY BIRD: $395 until July 31, 2026. Use code: HOXSRGDW

What You Will Learn

Key topics

• AI Program Structure
• AI Pre-Deployment Evaluation
• AI Governance
• Ongoing Monitoring and Interventions

Learning Objectives

Throughout this course, learners will:

• Explain the organizational AI infrastructure required to support safe, high‑quality clinical care and services, including governance, accountability, and oversight mechanisms.
• Describe the role and responsibilities of an AI governing body in ensuring regulatory compliance, managing risk, protecting patient privacy, and responding to AI‑related errors and incidents.
• Identify key processes for continuous post‑deployment oversight, including performance monitoring, error detection, drift management, and corrective action to uphold safety and accountability over time.
• Recognize organizational obligations for transparency and accountability in AI use, including documentation, reporting, and communication related to clinical impact and patient safety.

Learning Outcomes

After completing this course, learners will:

• Assess organizational readiness for AI use by evaluating whether appropriate infrastructure, policies, controls, and oversight structures are in place to support quality and safety.
• Evaluate AI systems against defined performance standards to determine whether an AI tool is appropriate for deployment in a real‑world care environment.
• Demonstrate effective governance decision‑making by outlining how an AI governing body reviews, approves, monitors, and intervenes.
• Document and communicate AI oversight activities in a manner that supports accountability, auditability, and organizational learning.

Who Should Attend

• Clinicians, executives, managers, and specialists at health plans.
• Consultants, delegates, vendors, and partners that work with health plans.
• Accreditation, compliance, and quality assurance professionals.

Continuing Education

This course offers three (3.0) optional Continuing Education Unit (CEU) points for PCMH Certified Content Experts. This is a non AMA PRA Category 1 CreditTM ANA CNE, ACPE learning activity.

* Please note – You must attend the entire program to be eligible for total number of contact hours.

Disclosure of Relevant Financial Relationships

The National Committee for Quality Assurance (NCQA) endorses the Standards of the Accreditation Council for Continuing Medical Education which specify that sponsors of continuing medical education activities and presenters at and planners for these activities disclose any relevant financial relationships either party might have with commercial companies whose products or services are discussed in educational presentations.

For sponsors, relevant financial relationships include large research grants, institutional agreements for joint initiatives, substantial gifts, or other relationships that benefit the institution. For presenters or planning committee members, relevant financial relationships include the receipt of research grants from a commercial company, consultancies, honoraria, travel, or other benefits, or having a self-managed equity interest in a company; or having an immediate family member or partner with such a relationship.

Disclosure of a relationship is not intended to suggest or condone bias in any presentation but is made to provide participants with information that might be of potential importance to their evaluation of a presentation.

Relevant financial relationships exist with the following companies/organizations:

Planning Committee Members:
Amelia Bedri: None

Vince Pereira: None

Julie Pung: None

Zoya Shabbir: None

This program was developed by NCQA staff.

This program received no commercial support.

Event Type

1. Self Paced