AI is rapidly entering healthcare, but quality professionals can’t rely on governance alone—we must learn how to audit the unknown. This engaging session equips you with practical tools to track AI in use, from building an organizational inventory to setting pre- and post-implementation baselines. You’ll learn how to detect bias, hallucinations, and model drift, and walk away with checklists and audit templates you can apply the next day. Move beyond the hype and into hands-on quality oversight—ensuring AI delivers safe, fair, and reliable results for patients and providers alike.

TOPICS:

                  1.              Develop and maintain an organizational AI inventory aligned with NAHQ’s Quality framework.

                  2.              Establish pre-AI baselines and post-AI monitoring plans using key performance and safety metrics.

                  3.              Apply bias detection and hallucination audit methods to AI outputs in clinical workflows.

                  4.              Implement drift detection strategies to monitor performance degradation over time.

                  5.              Integrate AI monitoring and audit activities into existing Quality, Safety, and Compliance processes.

Speaker:   
Lindsey Bruchhaus, MSN, RN, CPHQ brings over 17 years of experience in nursing and healthcare quality. She began in pediatric and perioperative care before transitioning into quality improvement, leading efforts to reduce hospital-acquired conditions and improve outcomes. Since 2020, she has served as Director of Patient Experience at Houston Methodist The Woodlands, where she champions a culture of safety, empathy, and excellence.  Currently she serving as a Board Member and Secretary of TGCAHQ promoting professional development for quality professionals.

CE: NAHQ approved for 1.0 hour of CPHQ CE credit.

Registration Fee: Multi-state Collaborative member- free Non-member $25.00

To register, Select HERE. For additional information, Select the FLYER.