Introduction
Healthcare organizations are increasingly experimenting with AI across a range of use cases — from clinical decision support and imaging diagnostics to administrative automation and virtual assistants. However, many are finding it difficult to translate these experiments into meaningful and sustained value.
The Intelligent healthcare publication offers a roadmap for healthcare leaders to responsibly leverage trustworthy AI, helping to ensure it delivers measurable value while supporting sustainable, patient-centric healthcare systems. This report provides C-suite executives and decision-makers with actionable insights to navigate AI adoption complexities.
In this report, we:
- Share insights on current AI strategy, investment, and implementation in healthcare, based on KPMG research and interviews with technology leaders globally.
- Explore the traits of intelligent healthcare organizations and strategies for their development.
- Provide a blueprint for intelligent healthcare organizations that outlines key, high-level capabilities for AI-powered, customer-centric healthcare.
The healthcare sector faces distinct adoption challenges
Healthcare presents a uniquely complex environment for AI adoption. Concerns around clinical safety, ethical use, patient data protection, and regulatory compliance create significant friction. Many organizations struggle to modernize legacy infrastructure, overcome data silos, and establish the governance frameworks necessary to scale AI responsibly. The highly fragmented nature of healthcare systems — often characterized by decentralized decision-making, workforce shortages and uneven digital maturity — further complicates progress.
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