Although nearly all healthcare leaders recognize AI’s transformative promise, most organizations struggle with readiness—find out what’s holding them back and how Cisco is enabling the leap toward smarter, more connected care.

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Healthcare organizations face three major barriers to AI adoption: fragmented data infrastructure with siloed EHR systems, lack of transparent and explainable AI models that clinicians can trust, and workforce resistance due to insufficient training and cultural hesitancy. While 97% of health leaders recognize AI's importance, only 14% are ready to deploy it effectively. Success requires modernizing data architectures for interoperability, establishing ethical AI governance frameworks, and investing in workforce training and change management.

Why Healthcare Still Isn’t Ready for AI

Data Quality and Infrastructure Limitations