Healthcare IT leaders are urging EHR vendors to move beyond basic integrations and help providers realize tangible AI value by embedding models into clinical workflows, improving data quality, and providing inference at the point of care. Panelists highlight vendor responsibilities including model validation, versioning, monitoring, and transparent governance to ensure safety, clinician trust and regulatory compliance. Vendors can accelerate adoption by offering prepackaged, specialty-specific models, APIs, and deployment tools that reduce implementation burden for health systems.
Speakers also emphasized partnerships between vendors and hospitals to address data access, standardization, and scalability, and the need for ongoing performance monitoring, feedback loops and explainability to maintain clinical relevance. The discussion framed EHR platforms as strategic AI delivery vehicles that must combine technical infrastructure with change management and clinical co-design to capture measurable outcomes such as improved workflow efficiency and patient outcomes.
