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There are many takeaways (both positive and negative) from the ‘Preparing the NHS for the AI era, a digital health record for every citizen’ report published by The Tony Blair Institute for Global Change.
As much as I want to pick apart areas where key items are overlooked or there's an inclusion of regurgitated ideas, I can only start with some positivity.
Areas which will make a difference if done correctly:
🩺 Shifting the focus to primary and community care.
This is where the NHS will see the most significant transformation. Something many have been calling for. I have previously quoted an article which suggested MPs visit patients in the community rather than around the wards.
With virtual wards and remote monitoring being the most discussed as well as already great initiatives driving primary and community care, the more we can improve healthcare away from the hospital, the less likely a visit would be required.
🩺 Legislation changes for data ownership and mandatory interoperability.
If the NHS could communicate effectively, it would be unstoppable.
With multiple reasons for a communication breakdown between NHS organisations, the ones I hear most are data ownership and interoperability.
There is a lot of discussion around EPRs and there are certainly times when trusts want to select an EPR, not because it is the best system for them, but because of the ability to share records between the neighbouring trusts.
If we can legislate suppliers to ensure their systems have open APIs (like they have done in the US) and are happy to utilise them, then we can hopefully allow trusts to not sacrifice benefits for data sharing.
There is certainly a lot to be done, but lack of innovation is not the problem within the NHS.
Lack of funding in the right areas and resources to deliver innovation optimally and effectively (not on a shoestring budget) is where issues lie.
Link to Report in Comments 🔗
#NHS#nhsdigital#epr#digitaltransformation#ai#interoperbility
Lots of discussion about the UK's 10 Year Plan for the NHS in England. There's a huge amount of 'why/what' with limited detail of 'how' it will be delivered, however the key takeaway from me is that it importantly show's commitment to shake up healthcare delivery and to seek to harness technology, data and AI to improve healthcare delivery and outcomes.
A few data and AI highlights:
☁️ Single Patient Record (SPR) for England by 2028 with maternity services as the first use case. The ambition is the right one and focussing on integration, open standards and the right data architecture will be critical to achieve success.
📱 The NHS App will become the NHS's front door. Think a single portal to self-manage healthcare appointments, to view clinical information and to access services.
🤖 Providers to be 'free' to use AI and automation to transform delivery. Critically important, key will be in organisations adopting a healthy risk appetite and not getting bogged down in caution paralysis.
⚠️ AI powered early warning frameworks to trigger regulatory review. The current inspection regime is archaic and broken, this is needed and ought to be an easy to deliver by-product of an interconnected system if meaningful patient and staff feedback can be captured and fed in.
🎯 Scale and democratise newborn and population health genomics/diagnostic risk scoring to identify early risk and preventative medicine opportunities. Ambitious and essential in the need to shift from reactive to proactive/prescription healthcare management.
#ai#data#technology#healthcare#cloud#leadership#nhs
The NHS England in its #NHS10yearplan intends to incorporate artificial intelligence into healthcare systems. Carrying out this ambitious target is fascinating considering the poor IT Infrastructure physicians have to struggle with in most #NHS Trusts. Most talk points fail to mention the difficulties integrating digitalization to health systems pose to current health systems and delivery.
NHS doctors often complain about IT systems that are slow, crash often and are unreliable thus making work more cumbersome. A good number of NHS health organisations still depend on paper as against computer systems which is the basis of Artificial Intelligence integration.
Nevertheless, this does not degate the need for #healthcaredigitalization in the #NHS. Especially with the various benefits AI can bring to patient care. More realistic discussions need to be had about the financial and non financial costs of integrating technological innovation in healthcare delivery. Doctors need to be involved as they are the main consimers of IT innovation in the face of healthcare delivery
#AIinnovation#AIinhealthcare#AIhealthcare#HealthcareAI#HealthcareInnovation#healthcaredelivery
The government has set out its vision to reform the NHS after unveiling its 10-year health plan today.
It aims to drive three systemic shifts in healthcare delivery – analogue to digital, hospital to community, and sickness to prevention.
Lawyers from our health and life sciences team react to the key parts of the plan:
• Gerard Hanratty emphasises the need for a regulatory rethink on data-sharing and the creation of 'digital health wallets' to enhance patient self-management.
• Charlotte Harpin highlights the importance of embracing neighbourhood-based care, which integrates physical and mental health services in community settings.
• Carly Caton discusses the potential for NHS trusts to generate new revenue through increased commercial activities and partnerships with the private sector.
• Matthew Alderton emphasises the necessity of comprehensive data policies to unlock the potential of AI in speeding up clinical trials
Read their full comments:
https://lnkd.in/e95cuHXg#Health#Healthcare#LifeSciences#NHS#ArtificialIntelligence#AI#MentalHealth#HealthcareLeaders
Today’s launch of the NHS “Fit for the Future” 10-Year Health Plan marks a significant development in UK healthcare policy - setting the stage for a more accessible, integrated and modern health service. Plenty to unpack but, in particular, the focus on accelerating digital innovation through an enhanced NHS App, unified patient records and the utilisation of AI raises important considerations around information governance and regulatory compliance.
If you’re interested in learning more, sign up for Browne Jacobson’s Shared Insights webinar on 10 July - https://lnkd.in/eMGiyDfB#healthcare#healthtech#NHS#lifesciences#AI#dataprotection#publiclaw
The government has set out its vision to reform the NHS after unveiling its 10-year health plan today.
It aims to drive three systemic shifts in healthcare delivery – analogue to digital, hospital to community, and sickness to prevention.
Lawyers from our health and life sciences team react to the key parts of the plan:
• Gerard Hanratty emphasises the need for a regulatory rethink on data-sharing and the creation of 'digital health wallets' to enhance patient self-management.
• Charlotte Harpin highlights the importance of embracing neighbourhood-based care, which integrates physical and mental health services in community settings.
• Carly Caton discusses the potential for NHS trusts to generate new revenue through increased commercial activities and partnerships with the private sector.
• Matthew Alderton emphasises the necessity of comprehensive data policies to unlock the potential of AI in speeding up clinical trials
Read their full comments:
https://lnkd.in/e95cuHXg#Health#Healthcare#LifeSciences#NHS#ArtificialIntelligence#AI#MentalHealth#HealthcareLeaders
🔢2 of 10
#NHS#NHS10YearPlan#AI
How the NHS 10-Year Plan Unlocks AI-Powered Productivity: Real Opportunities to Build with No-Code Agentic Platforms
On July 3rd 2025, The Rt. Hon. Wes Streeting MP and the UK Government unveiled their 10 year plan for the NHS. In this series of 10 short posts, we're going to indentify low hanging fruit that we can really quickly jump on with minimal fuss. Will anyone bite? 🤔
📢 Need: Enhance triage and patient routing to the most appropriate urgent care service via 111 or the NHS App, reducing unnecessary hospital visits.
📈 ROI: Patients experience shorter wait times and more appropriate care, while the NHS reduces pressure on A&E and saves costs by minimising inappropriate admissions.
🤖 Using Jiva.ai, NHS teams can quickly build and iterate intelligent triage agents that integrate with existing digital channels, using AI to assess symptoms and direct patients efficiently. The platform’s flexibility means these agents can be updated as protocols change, providing a strategic advantage over rigid point solutions.
Spot on as usual from Jessica Rose Morley, PhD who importantly has a thorough understanding of the data and digital space to a level of technical detail over most of our heads...do we need to harness data, digital and AI for health and care to make the most of the efficiencies and opportunities they offer? Absolutely, especially leveraging 'big data' in relation to health! Will this widen health inequalities? Sadly, yes, it certainly could unless tremendous care is taken to avoid it. And is it the answer to everything? No, and especially not as she so rightly notes, not in isolation. Advice from an app will suit some people, but advice from a human will be better for others.
Some applications of AI are amazing (eg. imaging analysis), some are potentially very useful (eg. digital scribe tools, clinical rotas etc.), some are probably no use at all...there's snake oil out there as well as the essential technologies of tomorrow. To discern the difference takes significant expertise. And to then take proper consideration of how to both design and implement them into everyday practice in ways that will not entrench inequalities takes additional (and different) expertise...
Here's a trivial example. Last year my GP surgery decided to mount a fairly relentless campaign of text messages inviting me to access menopause wellness online yoga sessions. I have no problem with text messages or apps or online service provision. I don't actually have need of any menopausal wellness services yet, but in fairness, I could do; I doubt that online yoga will ever be my choice (even with the repeated assurance that it was 'worth' £200) but again, some might like it. However, the escalating barrage of well-intentioned messaging urging me to take up this exciting free offer gradually made me feel frankly harrassed, and eventually I had to ring up the surgery - which I have not done for years - and ask to be removed from all future messaging.
Hopefully (indeed, presumably) the benefits to other recipients more than outweighed my irritation and the modest admin time taken, but it still wasn't great. I wondered what it said to recipients experiencing medical issues with menopause - did it trivialise their symptoms or make some reluctant to seek medical advice? How useful was it and if so, to which patients? Would a single text saying 'if you are experiencing any issues with menopause, make an appointment to see our nurse or access information at this website' have been more useful?
I don't know. But I did wonder whether there had been any patient consultation on the approach or adaptation to maximise accessibility and utility to the intended target group. It's not just about what digital tools are available, it's about how they are deployed and what provision is made for those who cannot access them - or indeed, those who just get grumpy about being bombarded with marketing messages!
Health Data Academic, Associate Research Scientist (Research Fellow), Yale Digital Ethics Center
⏰ New The BMJ Editorial ⏰ from me, Dr Lucinda Hiam and Eleanor Barryhttps://lnkd.in/e5JPyM4v
Ahead of the much anticipated NHS 10-year plan, which is expected to focus heavily on digital and AI-enabled solutions to the undeniable healthcare crisis, we ask what this strategy means for the NHS's commitment to "being for everyone."
The answer is complex, and this is the first of three or four articles you'll see from me on this theme, but in this instance we focus on:
1. Digital Exclusion (which is more than 'just' who has an iPad)
2. Entrenched bias and issues with data quality
3. The fact that technology solves very little on its own. After years of austerity and the consequential systematic depletion of the UK's supporting social and public health infrastructure, it's unrealistic to expect AI-enabled secondary prevention to produce significant improvements in outcomes. Telling someone to eat healthier, walk more, or get more exercise will achieve little except victim blaming, if the person in question cannot access healthy food, do not live in a walkable environment, are restricted with time or other responsibilities.
We need to think of digital/ AI being part of the solution, *not the only solution* to the challenges facing our NHS. Then, when we know AI is the right solution for a specific problem, it has to be designed with equity in mind - not as an afterthought and not something that can be achieved through statistical means alone.
In short, we need more of a lot of things (staff, space, housing, social support, education etc. etc.) not just *more algorithms.*
This feels particularly important and relevant to questions of co-design:
‘Research systems need adaptive study designs, faster ethics pathways, and stronger collaboration with developers to enable ongoing assessment as tools evolve. Without such reform, technologies risk being developed elsewhere and imported, leaving the NHS as a passive consumer rather than co-creator shaping innovation to meet public need.’
The places I’ve seen AI as being most effective and encouraged by clinicians is in diagnostics, interpreting an x-ray for example, where consultant says ‘yep, it says what I’d say’ and time is freed up for other tasks..
Health Data Academic, Associate Research Scientist (Research Fellow), Yale Digital Ethics Center
⏰ New The BMJ Editorial ⏰ from me, Dr Lucinda Hiam and Eleanor Barryhttps://lnkd.in/e5JPyM4v
Ahead of the much anticipated NHS 10-year plan, which is expected to focus heavily on digital and AI-enabled solutions to the undeniable healthcare crisis, we ask what this strategy means for the NHS's commitment to "being for everyone."
The answer is complex, and this is the first of three or four articles you'll see from me on this theme, but in this instance we focus on:
1. Digital Exclusion (which is more than 'just' who has an iPad)
2. Entrenched bias and issues with data quality
3. The fact that technology solves very little on its own. After years of austerity and the consequential systematic depletion of the UK's supporting social and public health infrastructure, it's unrealistic to expect AI-enabled secondary prevention to produce significant improvements in outcomes. Telling someone to eat healthier, walk more, or get more exercise will achieve little except victim blaming, if the person in question cannot access healthy food, do not live in a walkable environment, are restricted with time or other responsibilities.
We need to think of digital/ AI being part of the solution, *not the only solution* to the challenges facing our NHS. Then, when we know AI is the right solution for a specific problem, it has to be designed with equity in mind - not as an afterthought and not something that can be achieved through statistical means alone.
In short, we need more of a lot of things (staff, space, housing, social support, education etc. etc.) not just *more algorithms.*
"Success depends...not only on technological innovation but on reversing austerity, investing in digital inclusion, and in rebuilding the foundations of society needed for health such as housing, education, and income security. Without this, ambitions for AI enabled prevention and community care will remain aspirational"
Health Data Academic, Associate Research Scientist (Research Fellow), Yale Digital Ethics Center
⏰ New The BMJ Editorial ⏰ from me, Dr Lucinda Hiam and Eleanor Barryhttps://lnkd.in/e5JPyM4v
Ahead of the much anticipated NHS 10-year plan, which is expected to focus heavily on digital and AI-enabled solutions to the undeniable healthcare crisis, we ask what this strategy means for the NHS's commitment to "being for everyone."
The answer is complex, and this is the first of three or four articles you'll see from me on this theme, but in this instance we focus on:
1. Digital Exclusion (which is more than 'just' who has an iPad)
2. Entrenched bias and issues with data quality
3. The fact that technology solves very little on its own. After years of austerity and the consequential systematic depletion of the UK's supporting social and public health infrastructure, it's unrealistic to expect AI-enabled secondary prevention to produce significant improvements in outcomes. Telling someone to eat healthier, walk more, or get more exercise will achieve little except victim blaming, if the person in question cannot access healthy food, do not live in a walkable environment, are restricted with time or other responsibilities.
We need to think of digital/ AI being part of the solution, *not the only solution* to the challenges facing our NHS. Then, when we know AI is the right solution for a specific problem, it has to be designed with equity in mind - not as an afterthought and not something that can be achieved through statistical means alone.
In short, we need more of a lot of things (staff, space, housing, social support, education etc. etc.) not just *more algorithms.*
📢 NHS 10-Year Plan - Time to Rethink Traditional Approaches to Clinical Governance?
The NHS 10-Year Plan sets out an ambition to bring care closer to home, harness AI to identify risk earlier, and crucially — make better use of clinicians’ time.
But one thing that often escapes attention is the clinical governance infrastructure that supports all of this.
Traditional clinical governance, built around the familiar set of pillars, has served a purpose — but in today’s system, it often feels too static, too siloed, too reactive and outdated.
If we want to deliver safety, quality and effectiveness in integrated, technology-enabled care models, we need to start thinking differently:
🔹 Clinical governance that’s proactive and intelligent, not retrospective
🔹 Designed-in assurance, rather than layered-on controls
🔹 Enabled by technology — not adding friction to already stretched professionals
The proposed AI-led early warning system is promising — but detection is only the start. Clinical governance must be able to interpret, act, and support teams without delay or additional bureaucracy.
Perhaps we need to move beyond the pillars — and towards a system-thinking approach to clinical governance. One where safety, quality and accountability are byproducts of good design, not outcomes we chase separately.
Have we outgrown the traditional pillars of clinical governance in the systems we’re now trying to build?
#ClinicalGovernance#NHSLongTermPlan#GovernanceByDesign#HealthSystemDesign#HealthcareLeadership#PatientSafety#CareCloserToHome#HealthWorkforce#HealthcareTransformation
Public Sector Specialist - Consulting with organisations across Yorkshire and the Humber to navigate their IT and Digital Transformation Journeys
11mo🔗 https://www.institute.global/insights/public-services/preparing-the-nhs-for-the-ai-era-a-digital-health-record-for-every-citizen 🔗