AI in Healthcare (1/2) – focus on the ‘signal’ of specialist tools, rather than the noise of consumer tech
As noted on diginomica passim the value of AI in Life Sciences and Healthcare has been seen. That value and the policy and regulatory challenges that underpin that, were the subject of a recent Westminster Health Forum policy conference in London.
The event highlighted a consensus among delegates that, while the UK possesses undoubted expertise and, via its National Health Service (NHS), valuable data on Britain’s population, barriers remain to AI adoption among care providers. These include data accessibility, interoperability, regulation, commercialization, workforce skills, and implementation at scale – a familiar scenario in other professional sectors, of course.
For a big-picture context for these discussions, see August 2026 findings from research company GWI - provided to me as raw spreadsheet data. According to that survey, 88% of Healthcare providers are already using AI: 56% to find information, with roughly one-third using it for professional advice and self-learning, which suggests the...
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