Why clinical AI adoption is succeeding at 5 health systems
Health systems are moving quickly to adopt clinical AI, but scaling it across complex environments remains a challenge.
This report explores how leading organizations — including Akron Children's, Christus Health, Inova Health System, UCHealth and WVU Medicine — are implementing and expanding clinical AI documentation tools to reduce administrative burden, improve clinician adoption and strengthen documentation quality.
Drawing on real-world experiences from these organizations, the report outlines what it takes to move from initial deployment to sustained impact.
It highlights how a partnership-driven approach grounded in trust, tailored support and continuous measurement can help organizations overcome adoption barriers and maintain long-term value.
Key insights include:
This report explores how leading organizations — including Akron Children's, Christus Health, Inova Health System, UCHealth and WVU Medicine — are implementing and expanding clinical AI documentation tools to reduce administrative burden, improve clinician adoption and strengthen documentation quality.
Drawing on real-world experiences from these organizations, the report outlines what it takes to move from initial deployment to sustained impact.
It highlights how a partnership-driven approach grounded in trust, tailored support and continuous measurement can help organizations overcome adoption barriers and maintain long-term value.
Key insights include:
- How health systems approach implementation, onboarding and clinician adoption
- What drives early engagement and sustained utilization over time
- How organizations measure impact across clinical, operational and experience metrics
- The role of ongoing partnership in scaling AI across specialties and care settings
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