As healthcare organizations move from artificial intelligence pilots to production deployments, organizations are moving beyond experimental use cases, with a focus on operationalizing AI inside real clinical and administrative workflows.
Providers are embedding AI into everyday care delivery, with an emphasis on transparency, accountability and measurable performance improvements as the technology moves beyond the early hype cycle.
However, barriers to adoption persist, including legacy systems, unclear governance models and gaps in workforce readiness, requiring practical frameworks for aligning executive return on investment priorities with front line clinical needs.
With artificial intelligence projects underway nationwide, many health systems are seeing success, but some are stuck in the infamous trough of disillusionment.
The pre-conference forum will offer practical tips to help maintain forward momentum.
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