Artificial Intelligence (AI) is reshaping healthcare, but technology alone will not deliver sustainable transformation.
Across the NHS and wider health and care system, organisations are under pressure to improve patient outcomes, address workforce shortages and accelerate digital transformation. AI, data and automation are key enablers, but real value depends on how they are applied in practice. A people-focused approach is critical to success.
AI in healthcare is improving diagnostics, clinical decision-making and operational efficiency and adoption is accelerating across the NHS, but scaling beyond pilots remains a challenge. In addition, workforce capability, legacy systems and data fragmentation continue to slow transformation.
The UK’s 10-year Health Plan sets a clear direction, shifting from hospital to community care, analogue to digital services, and sickness to prevention. AI and digital health technologies will play a central role in enabling this shift.
To realise the full value of AI, organisations must focus on outcomes:
- Reducing administrative burden through automation
- Increasing clinical capacity and improving patient experience
- Enabling preventative care through data-driven insights and personalisation
At the same time, healthcare leaders must navigate critical challenges:
- Building an AI-enabled workforce with the right digital and data skills
- Ensuring cross-functional change management from the start
- Establishing strong data foundations and interoperability
- Embedding responsible AI, governance and trust
Insights from CGI’s Voice of Our Clients 2025 highlight a gap between ambition and execution, reinforcing the need for a joined-up strategy across technology, talent and data.
This viewpoint explores how healthcare organisations can scale AI adoption responsibly, unlocking improved and sustainable outcomes for patients, carers and staff.
