Through this report, we introduce the three phases of AI value — a framework designed to help clinical providers maximise value by aligning AI investments to patient and operational outcomes, prioritise scalable use cases, and prepare for the next generation of AI technologies.
AI holds tremendous promise for the healthcare sector
To understand how you can maximise impact of artificial intelligence (AI) in healthcare, this report is the result of extensive KPMG research into the value being created by AI in the sector.
The Intelligent healthcare report is designed to provide actionable insights for leaders at every stage of their AI journey, from those deploying their first pilots to healthcare organisations seeking to scale enterprise-wide artificial intelligence for healthcare initiatives.
At-a-glance insights:
AI usage is well established in healthcare:
Top 5 AI applications in healthcare
- Generative AI
- Speech recognition
- Agentic AI
- Machine learning
- Robotics
0%
say that AI has been systematically incorporated into service and product development
0%
say their organisations have achieved efficiency improvements with the technology
But significant challenges remain
84%
have faced operational challenges when implementing AI spanning, data issues and lack of skills and legal issues
77%
are responding by increasing their investment in AI
Including pressures related to returns on AI investments
69%
state that they are under pressure to demonstrate return on investment (ROI) from their AI investments.
Return on investment (ROI)
from AI initiatives
(Among those who measure it)
How to realise value from your AI transformation journey
To help ensure that AI serves as a catalyst for meaningful transformation, healthcare organisations need a clear, structured approach to adopting the technology. In this report, we propose a value-based approach that can help to maximise value in population health, patient experience, workforce wellbeing and cost effectiveness, integrating AI across all operations and workstreams.
The Enable phase focuses on enabling people and building AI foundations. Organisations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customisation.
The Embed phase integrates AI into workflows, products, services, value streams, robotics, and wearables, delivering greater value. A senior leader drives enterprise-wide workforce redesign, re-skilling and change, embedding AI into operating models with a focus on ethics, trust and security. AI agents and diverse models are deployed, supported by cloud and legacy tech modernization, while enterprise-wide data enhances operations.
The Evolve phase evolves business models and ecosystems, using AI and frontier technologies like quantum computing and blockchain to solve large sector-wide challenges. AI orchestrates seamless value across enterprises and partners. Emphasizing ethics and trust with real-time security, this phase uplifts human potential with broad and deep workforce training, fostering a creative, innovative and value-driven future.
Intelligent healthcare
This research outlines a detailed blueprint for AI in healthcare, helping organisations chart a path to unlocking AI’s immense value.
Our executive summary provides a cross-sector view of how organisations are navigating the opportunities and challenges of implementing AI. Download the executive summary to see the blueprint for intelligent industries to help you become an AI-powered, customer-centric organisation ready to thrive in the intelligent economy.
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