Transforming the NHS through AI-driven solutions: a new era of digital health

Article

Imam, M. A, Elgebaly, A., Zumla, Ad., Kolvekar, S., Ahmed, R. and Zumla, Al. 2025. Transforming the NHS through AI-driven solutions: a new era of digital health. Postgraduate Medical Journal (PMJ). (Art. qgaf023). https://doi.org/10.1093/postmj/qgaf023
AuthorsImam, M. A, Elgebaly, A., Zumla, Ad., Kolvekar, S., Ahmed, R. and Zumla, Al.
Abstract

The UK National Health Service (NHS) has been the foundation of the country's healthcare system for decades, but its challenges have steadily escalated. Public satisfaction with the NHS is at its lowest point since 1983, with dissatisfaction reaching unprecedented levels, highlighting the urgent need for reform [1]. Currently, the NHS finds itself in a position reminiscent of 'Lewis Carroll's White Rabbit'—constantly racing, sometimes distracted, but never quite catching up.

The major challenges can be summarized as the “6Cs”: communication, collaboration, compliance, constraints, culture, and caseload. These issues, coupled with a backlog of incomplete projects, have hampered effective management and strategic planning. Addressing the 6Cs requires not just technical fixes but adaptive, system-wide changes that promote collaboration and flexibility. The relentless demands on the NHS workforce strain its capacity and hinder the full potential of advancing transformative technologies like artificial intelligence (AI) across a range of disciplines [2–4]. AI can help mitigate these challenges and drive the much-needed transformation. AI offers enormous potential and significant opportunities to support the NHS's recovery and future growth.

JournalPostgraduate Medical Journal (PMJ)
Journal citation(Art. qgaf023)
ISSN 0032-5473
1469-0756
Year2025
PublisherOxford University Press
Accepted author manuscript
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Anyone
Supplemental file
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File Access Level
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Digital Object Identifier (DOI)https://doi.org/10.1093/postmj/qgaf023
Publication dates
Online15 Feb 2025
Publication process dates
Accepted08 Jan 2025
Deposited24 Apr 2025
Copyright holder© 2025 The Authors
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