As clinical AI moves from isolated deployments to enterprise infrastructure, health system leaders face a more consequential question: which technologies deliver meaningful value today while continuing to evolve with the needs of the enterprise? Health systems must assess whether the AI technology can support specialized workflows and care settings, define value across clinician, patient, operational, and financial dimensions, and keep users engaged as capabilities evolve.
Leaders from Children’s Hospital of Philadelphia and Baylor Scott and White Health will share how their organizations evaluate quality and workflow fit, measure impact, and use organizational data and clinician feedback to guide broader adoption and additional use cases.
The discussion will examine the factors that shape sustained value, including specialty relevance, EHR integration, ongoing training and support, and the ability to adapt as the technology advances. Attendees will gain a practical framework for balancing thoughtful evaluation with timely action, sustaining adoption, and moving beyond pilot toward lasting enterprise value.
Learning objectives
- Identify the clinical, technical, and workflow criteria health systems can use to evaluate clinical AI across specialties and care settings.
- Assess value across multiple dimensions, including clinician experience, patient engagement, operational performance, and financial impact.
- Explain how organizational evidence and clinician feedback can guide phased adoption, ongoing training, and engagement as the technology evolves.