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Know what journey to pursue, set the ambition, establish ethics and governance, conduct opportunity identification and be clear on objectives and enablements, to harness AI's value, says Children's Hospital of Philadelphia CDAO Dr. Hojjat Salmasian.

Nurses know that if AI is used in the right way to understand patterns, it has positive benefits, says Kenrick Cato, nurse scientist, pediatric data and analytics, Children's Hospital of Philadelphia.

Automated data exchange in the EHR gets patient information in front of clinicians at the point of care to support decision-making, says Megan Zakrewsky, VP of product for clinical data exchange for Veradigm.

The biggest challenge is lacking an in-house data and analytics team to build predictive models, so WakeMed Health & Hospitals depends on Epic to make this happen, says Elizabeth Murumalla, the health system's IS project manager.

Under the Transforming Episode Accountability Model, starting January 1, 2026, 750 hospitals and other healthcare institutions must provide a retrospective bundled program for episode-based care, says Dave Snow, CEO of Cedar Gate Technologies.

To help gain momentum, health system telehealth priorities need to be aligned with the rest of the organization, says Lizzy Mulcahy, DNP, and Dr. Tracy Jalbuena of MaineHealth.

Since there's no AI governance without data governance, everybody is learning that when they go for implementation, their organization's data levels are not what they thought they were, says Rob Havasy, HIMSS senior director of informatics strategy.

Real-world encounter data shows MA enrollees have more chronic conditions and greater social risk factors than those in original Medicare, says Inovalon's VP of research science and advanced analytics, Christie Teigland.

Mental health and social services have been combined with the Missouri Department of Health and Senior, says Chief Health Information & Data Strategy Officer Josh Wymer, who is working to advance data analytics and select partners for AI deployment.

To start, ask about the scope of the product, including what features it has beyond clinical documentation and ask for systemic level evaluation metrics for AI quality, says Suki CEO Punit Soni.