Francesco Marchet FRSA

I agree with the below analysis. As ever seemingly in the NHS, these things run in cycles. I was running a start-up focussed on AI product development and data science consultancy into the NHS and wider UK health economy eight years ago. I stepped away as changes to NHS central procurement processes made it nigh-on impossible for start-ups (and scale-ups) to tender for innovation and other project initiatives. Now I’m advising UST’s Enterprise Clients in AI development and deployment in business sectors including healthcare but also financial services, retail, manufacturing and others and am very happy with my career path. I do miss health in many ways but arguably it’s a wiser choice for start-ups to spread their bets and look to serve other business sectors in addition to the NHS. It’s also important to recognise that AI diffusion will take longer into clinical settings dues to the (completely appropriate) requirement to scientifically and rigorously prove that new AI processes are more effective than existing pathways and are ethical and responsible. Combine this with the current huge pressures on the NHS and I’m not surprised AI diffusion is taking longer in the NHS than in other sectors. However, I also think it’s important for the NHS to recognise the significant opportunities there are for AI-adoption within the NHS in non-clinical areas. These will have a significant impact on efficiency etc. more quickly than clinical pathways. Both need to be pursued. #AI #NHSAI #AIDiffusion

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Medical Record Automation: MRA emerges as one of the key HealthTech sub sectors in 2024 https://lnkd.in/e4GKYsxW Medical Record Automation is the process of using technology to streamline and optimise the management of patient health information. It involves the digitalisation, storage, retrieval, and analysis of medical records to improve efficiency, accuracy, and accessibility. Medical Record Automation (MRA) has undeniably emerged as a critical subsector within HealthTech in 2024. It's driven by a perfect storm of factors: Increasing data volumes: The sheer amount of patient data generated daily is overwhelming. Demand for efficiency: Healthcare providers are under immense pressure to reduce costs and improve patient care. Data privacy concerns: Securely handling sensitive patient information is paramount Nelson Advisors work with Healthcare Technology Founders, Owners and Investors to assess whether they should 'Build, Buy, Partner or Sell' to maximise shareholder value.   HealthTech Mergers, Acquisitions, Growth & Strategy > www.nelsonadvisors.co.uk   Nelson Advisors HealthTech M&A Newsletter > Subscribe Today! https://lnkd.in/e5hTp_xb   Buy Side, Sell Side, Go To Market, Partnership Strategies > Email [email protected]   Nelson Advisors HealthTech Thought Leadership > Visit https://lnkd.in/ezyUh5i   #HealthTech #DigitalHealth #HealthIT #NelsonAdvisors #Mergers #Acquisitions #Growth #Strategy #Partnerships #VentureCapital #PrivateEquity https://lnkd.in/e4GKYsxW

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We're about to join HTN - Health Tech News for a live online panel discussion on #EPR optimisation. Dedalus Chief Medical Officer, Dennis Rausch will join digital healthcare leaders to discuss how to add value to your EPR. #healthtech #digitalhealth #NHS

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What’s happened this week in the healthcare & AI world? Here is the interesting news and research: 𝐍𝐞𝐰𝐬: 🗞 An AI triage service has reduced patient wait times by 73% for a GP practice. 🗞 The Gov will launch a Regulatory Innovation Office to help regulators remove barriers to tech in places like the NHS. 🗞 The 2024 State of AI Report was published yesterday by Air Street Capital, and notes the commercial “vibe-shift” from existential threat to sales & usage - Oliver Patel, AIGP, CIPP/E published a good report summary. 🗞 Imperial will trial AI to support cancer diagnosis in general practices. 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡: 👩‍💻 Using deepfakes in psychotherapy, eg for a guided encounter with a deceased loved one, could (unsurprisingly) need new protections (Eg to stop an over-attachment that could stagnate the acceptance of loss).* *this paper is a older than this week but is circulating right now. 👩‍💻An analysis finds that AI for global health is a hyped topic, but in practice the determinants of health are being side stepped. 👩‍💻 Interviews with German med students on AI-CDSS found future clinicians have two different attitudes: “the one relying [on]” vs “the one controlling” the AI. P.S. What item was most interesting to you this week?

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One of the hugely positive impacts that AI is expected to have on society in the coming years, is in the healthcare sector. And that is why I was delighted to attend the official opening of the SAS Advanced Analytics Hub at The Maxwell Centre, University of Cambridge last week. The partnership aims to accelerate healthcare innovation through enhanced access to advanced analytics. It will embed SAS experts and SAS® Viya® data and AI platform capabilities into the University environment, enabling targeted collaboration to “find the quickest way from a billion points of data to a point of view”. The hub will have capacity to recruit and support several high-quality, high-impact academic research projects and promising early-stage startups in the health-tech space, providing their innovative ideas with extra momentum. We believe this combination of expertise can tackle some of the world’s biggest challenges, which is why it’s such an exciting project. We’ve already had a taste of what can be achieved. A University of Cambridge-led project on kidney transplants, PITHIA, developed an AI-based decision support approach using SAS’ analytics platform. It is being used to automate the process of scoring biopsies for kidneys to better identify those organs that can be used for transplantation. This has the potential to save lives and transform the quality of life for more than 100 people each year who would otherwise require dialysis, as well as saving the NHS millions of pounds annually. Professor Nigel Peake (Chair of the Maxwell Centre) and Gail Stephens (Vice President Health and Life Sciences at SAS) formally opened the analytics hub and it was a great pleasure to be joined by distinguished individuals involved in scientific research, as well as SAS colleagues. And a massive thank you to those that made this partnership possible, including Dr Alexander Samoshkin, from the Office for Translational Research at the University, and Dr Agnieszka Iwasiewicz-Wabnig FRSA, Maxwell Centre Director. I would like to thank all those involved in the organisation of the event including Monica Lucena, Katy Cordingley, Mayra Pedraza, Anne Okwuzi and special thanks to the SAS team who worked so hard to secure this collaboration: Geoffrey Taylor, Glyn Townsend, Mark Lambrecht, Stephen Kearney, Anu Sharma Pereira, David Shannon, Peter Andersen and Nicky Furlong. #CambridgeUniversity #Partnership #DataForGood #Analytics #AI #healthcare

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In a new series of Digital Health Intelligence Market Analysis, HealthTech Founder and M&A Advisor Lloyd Price examines a range of high potential market segments in the UK, including: 1. Virtual Care – From Hype to Reality 2. Patient Engagement Platforms – Rebuilding Trust in the NHS 3. Population Health – from Reactive Care to Proactive Prevention 4. Digital Therapeutics – looking forward to a year of growth 5. AI in Clinical Imaging – shaping the future of healthcare 6. Electronic Bed and Capacity Management Systems - crucial support for an NHS under pressure 7. Shared Care Records - a time of transition and expansion 8. Medical Device Cyber Security https://lnkd.in/eqGcnRUP

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New insights into health inequalities from hospital data 📊 Steve Barnett, VP for healthcare at C2-Ai and NHS Innovation Accelerator fellow, delves into how emerging data from NHS trusts is revealing critical insights into health inequalities. The project uncovered significant correlations between patient deprivation levels and clinical risks, providing invaluable intel for system-wide planning. Read the full article in Health Tech World ⬇ #healthtech #healthIT #NHS #AI #data Steve Barnett Matthew D'Arcy Katrina Croft

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The impact of deprivation and inequity within communities is felt strongly across the whole arc of care. This article discusses the need to continue to focus on impacted communities to not only deliver more person-centred care and support planning, but that ensure appropriately targeted intervention helps avoid people being escalated to secondary care reducing pressure on an already overloaded system. #narrowthegap #healthinequalities #Core20PLUS5 #healthequity FutureNHS NHS Innovation Accelerator Prof. Bola Owolabi, MRCGP MFPH(Hon), FRSPH Aoife Molloy Prof Habib Naqvi MBE

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Harnessing AI to Combat Antimicrobial Resistance in Intensive Care The fight against antimicrobial resistance is more crucial than ever, with an alarming 1.2 million deaths occurring globally each year. This challenge has significant financial implications, costing the NHS at least £180 million annually. Artificial intelligence is now leading the charge in revolutionizing how we assess and manage these threats in intensive care settings. By providing same-day assessments of antimicrobial resistance, AI enables healthcare professionals to swiftly identify and respond to sepsis-causing bloodstream infections. Key metrics to consider: - AI can reduce the diagnostic time from five days to mere hours, enhancing patient outcomes significantly. - The interdisciplinary study involved data from 1,142 patients, paving the way for future research with datasets exceeding 20,000 individuals. - Targeted antibiotics can improve survival rates and reduce the development of further resistance, preserving current antimicrobial options. Join the conversation and share your thoughts on the role of AI in transforming microbiology and healthcare. Follow Spin Quantum Tech for more updates on innovations in the field! #Microbiology #ArtificialIntelligence #Laboratories #Future #Innovation #Health #QuantumComputing Spin Quantum Tech - SQT - Business acceleration through quantum computing. Dive into Quantum with Spin Quantum Tech: 📧: [email protected] 🏠: https://spinqtech.com 📱: +44 7537 188583

Regulation and AI (2) - The UK Technology Secretary recently indicated that regulation of AI will focus on LLMs, however the nature of the proposed regulation is unclear. One approach regards LLMs as having sufficient agential potential to be considered analogous to human agents - a premise endorsed by proposals that regulation of medical (and presumably other professional) applications of AI should follow existing professional oversight. This approach ignores the wider conditions within human agential behaviour and its evaluation sit. Regulation of human agency balances agential freedoms against conformity to a set of conditions that include content and boundaries. Content, typically factual and analytical and often a hurdle to further progression, is delivered through progressively more focussed education and training and evaluated through regular examinations and assessments. Boundaries, which tend to be behavioural, are managed through rules of law and social and professional norms. Think of boundaries as the edges and floor of a box containing the content hierarchy. At any level of human agency, boundaries typically remain constant, whereas content is context and temporally specific. The sum of these parts is confidence in competency at that level. If some substantive agential position is to be accepted then insight in to the regulation of LLMs might be possible by considering which level of human agency the proposed use resembles, and how this most usefully interacts with the human regulatory framework. Rather than taking the risk of any agential action as a starting point, this approach considers the competencies necessary to achieve the equivalent level of human agency. The advantage of this approach is that it permits flexibility through degrees of ‘containment’. Such an approach would need to be explicitly qualified if the tacit endorsement of the formal attribution of human characteristics to a non-human entity is to be avoided.

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Jordan Sollof, reporter at Digital Health News, is joined by Lloyd Price and Mohammad Al-Ubaydli to talk about procurement and why the NHS is so difficult to sell to. https://lnkd.in/eaW4F2hC From their own experience, Price, a healthtech founder, mergers and acquisitions advisor and non-executive director for various digital health companies, and Al-Ubaydli, founder and chief executive of digital health social enterprise, Patients Know Best, shine a light on the main issues that can make selling to the NHS a challenge. The pair discuss success stories of startups which have successfully sold to the NHS, before assessing whether companies and suppliers need to take more care in ensuring they are pitching the right solution to the right organisation. They give their views on whether the NHS procurement process has become overcomplicated, a point raised in a session at Rewired 2024, and speculate whether the forthcoming Procurement Act (which was originally due to come into force in October 2024, but has been delayed until February 2025) will solve some issues and make it easier for those selling in the health technology sector. Finally, the guests predict what they anticipate will happen in the coming months and years, including whether the NHS will become a simpler system as a whole to sell to or if we will still be having the same conversation about difficulties selling in a few years’ time. Guests: Lloyd Price, health tech founder, mergers and acquisitions advisor and non-executive director for various digital health companies Mohammad Al-Ubaydli, founder and chief executive of Patients Know Best #HealthTech #DigitalHealth #HealthIT #NelsonAdvisors #Mergers #Acquisitions #Growth #Strategy #Partnerships #VentureCapital #PrivateEquity 

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Health and #medtech industry leaders are assessing the implications of a £22.6 billion uplift in funding for the NHS this year and next, and a £3.4 billion boost for capital spending next year: https://lnkd.in/eAJ7KDZ2 #healthtech #budget24

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Check out what our very own Jonathan Hinchliffe has to say about the Autumn Budget in Health Tech World's latest article! 👇 #HealthTech #AutumnBudget #Budget #Healthcare #NHS

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#Digitalhealth apps are transforming healthcare, but securing access in the UK involves navigating complex processes. Senior Analyst Julia Tokarska breaks down the essential steps to ensure successful market access for digital health solutions. Key highlights include: 💡 Understanding the regulatory landscape and compliance requirements 💡Importance of evidence generation to demonstrate clinical and economic benefits 💡Engaging with key stakeholders, including the NHS and patients, early in the development process 💡Navigating reimbursement pathways to secure funding and support Curious to learn more? Dive into our detailed guide on what it takes to secure access to digital health apps in the UK: 𝐑𝐞𝐚𝐝 𝐦𝐨𝐫𝐞 𝐡𝐞𝐫𝐞 ➡ https://lnkd.in/ertUwZHh #Pharma #AIinHealthcare #MarketAccess #HealthTech #Innovation #Healthcare #Digitalhealthapps

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🎙 In this episode of the Up Up and Away podcast, host Dom Burch welcomes Kate Cheema, Director of Evaluation and Insight at UCLPartners. With over 17 years in NHS data analysis and patient safety, Kate offers a deep dive into the transformative power of data and AI in healthcare, describing her work as “turning all this nerdy gold into something meaningful for people working directly with patients”. 📊 Kate describes her passion for data analysis, embracing her role in transforming vast datasets into valuable insights that directly support healthcare professionals. Rather than simply accumulating data, her team’s mission is to make this information actionable, providing clarity and direction to those in patient-facing roles. 💰 Focusing on asthma management, she highlights the substantial financial burden of uncontrolled asthma, emphasising that solutions like the Digital Health Passport (DHP) not only improve patient outcomes but also offer significant cost savings by helping patients better manage their conditions. 📈 The DHP’s tracking feature, highly valued by users, fosters a sense of empowerment and control, transforming routine health data into a daily tool for self-management. 🚨 By targeting young people and underserved communities, Kate reveals the DHP for asthma has demonstrated a 2.24-point improvement in asthma control, which she notes is both statistically significant and practically impactful. She emphasises the empowering nature of the DHP, saying, “Knowledge is power, and having that in the palm of your hand gives a sense of control”. 🤖 Kate also discusses the broader potential of AI in healthcare, describing it as an “exciting time to be alive” as unstructured data becomes actionable through advanced text analysis tools, making patient voices central to healthcare improvements. Her team, she explains, acts as a “translator,” bridging data insights with real-world applications, from clinical settings to patient self-management. 💷 The Digital Health Passport’s role in reducing emergency visits and improving asthma self-management also promises a significant cost-saving, with an ROI of £9.28 for every £1 spent, illustrating the financial and healthcare benefits of data-informed innovation. As Kate puts it, “Uncontrolled asthma is really expensive… Anything that helps people move into a more controlled space will save potentially very significant sums of money”. 🚑 Kate’s podcast offers insights for healthcare innovators and underscores the profound impact of data on patient well-being, affirming the role of tools like the DHP in improving health outcomes and accessibility. ➡ Listen here: https://lnkd.in/egGhQRzk Greg Burch, Matt Bourne, Paul S Weston, Saira S. Arif 🍉, Jo Grim, Marta Denkiewicz, Monica Fletcher OBE, Naomi Watt, Laura King

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⏩️ excellent review! maybe we need to reneame it “from raw data to evidence (#RWE)” in our ecosystem? 🔂 maybe we need to revisit the value of such data for public health in light of financial implications described in other settings? 🆓 nothing is for free but maybe better utilizing the abundance of already available data could dramatically reduce costs - rendering healthcare delivery as well as R&D much more efficient! 🔀 Full disclosure: no affiliation!

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Here are some of the highlights from last week's Third Annual General Meeting of the ESCORT Project. This event brought together partners and experts to discuss advancements in patient care and healthcare resilience across Europe. From insightful discussions to collaborative sessions, it was a fantastic opportunity to connect and innovate. #HealthResilience #DigitalHealthCare #InnovationInCare #FutureOfHealth #HorizonEurope

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Do you know the difference between generative and predictive AI? With the NHS now increasing its use of AI, it's important that we start to understand not just AI in general, but how the specific category of AI influences functionality and practical applications. Click the link below to learn more about the differences between generative and predictive AI in healthcare: https://lnkd.in/eaNKNi9B #HealthTech #AIHealth #BinTheBleeps

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Public bodies often want to support AI development, to help the NHS survive and thrive, but not at the cost of your trust. Imagine you’ve gone to the hospital and you’ve had a sensitive and invasive procedure. Hear me out. You’ve left the hospital - who do you discuss it with? Maybe your partner? Close friends? Now the hospital wants to share that information with an organisation that you’ve never heard of to train AI. How do you feel about that? That feeling is why public bodies often reach out to me to discuss what they should do. This article includes five topics we tend to cover.

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