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.
Reimagining healthcare
Key insights
- Healthcare insights
- Challenges
- ROI pressures
- Quotes
AI usage is well established in healthcare
Top 5 AI usage
- Generative AI
- Speech recognition
- Agentic AI
- Machine learning
- Robotics
59%
say that AI has been systematically incorporated into service and product development.
72%
say their organisations have achieved efficiency improvements with the technology.
Significant challenges to AI adoption 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.
Pressures related to returns on AI investments
69%
state that they are under pressure to demonstrate return on investment (ROI) from their AI investments.
32%
of organisations who measure ROI report a high/very high ROI.
52% report a moderate ROI.
18% report negative/no/low ROI.
Realising 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.
Click on each of the phases to find out more.
Enable
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.
Embed
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 modernisation, while enterprise-wide data enhances operations.
Evolve
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. Emphasising 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.
Get in touch
Jonathan Di Michiel
Partner, Digital Health Practice, Health, Ageing & Human Services
KPMG Australia
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