Nick de Pennington

The entire NHS healthcare bidding system is #fraudulant - pre allocated bid application means no transparency in public fund allocation. Time to change from imperialist health to circular health economics. Using AI power.

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90% of #healthtech companies I talk to aren't at the level of sophistication they need to be to get into the NHS. They usually understand it at face value. But the NHS has many dimensions. Maybe not quantum dimensions. But often invisible currents that mean cause and effect can feel unpredictable. I don't find the NHS unpredictable, and I think it's entirely winnable... IF you get to know as many of the cultural, complex human dimensions as possible. Get ready 👉 https://lnkd.in/ew6N8psC

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Thank you for sharing this insightful research, Dario Heymann, PhD. The increasing role of Big Tech in Digital Health is undeniable and, as your analysis highlights, their resources and technological capabilities are instrumental in driving innovation forward. The impressive growth rate of partnerships, particularly with a CAGR of 32%, underscores the strategic importance of these collaborations. In my experience, the synergy between Big Tech and Digital Health startups fosters a dynamic environment where advanced technologies like AI, machine learning, and blockchain can be seamlessly integrated into healthcare solutions. This not only enhances healthcare delivery but also aligns with patient-centric values and stringent regulatory requirements. Moreover, the shift of Big Tech overtaking Biopharma in partnership share is a clear indicator of the evolving landscape. It’s essential for startups, academic institutions, and healthcare organizations to leverage these partnerships to stay at the forefront of innovation. #eHealth #HealthTech #DigitalHealth

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Top 5 UK HealthTech to watch 👌 (courtesy of Dr. Zhong Wei Khor ) 🔹 Newton's Tree I have had the pleasure of working with the formidable Haris Shuaib spearheading Newton's tree. They are building an "app store"  that enables healthcare providers to procure, integrate, and monitor third party AI products. To implement an AI tool into a single hospital, it can take >6 months (often much more), an app store and infrastructure to bridge this gap could really change the game. 🔹 TORTUS (Editor's pick 🌟 )- A perfect marriage of a strong tech team guided by the urgent healthcare need to automate and reduce administrative burden. A cause close to my heart. Dr Dom Pimenta M.D. and Christopher Tan leading the way in reimagining the way we leverage clinical AI as co-pilots to free up clinicians to do what they do best - see patients. 🔹 Healthtech 1 Automating away admin tasks in primary care. We take it for granted ordering an uber, booking a restaurant table, signing up to events. Easy right? Why is this not the case for healthcare? A few months ago, I had the privilege to chat to ☝️ Peter Huang around his aspirations, he is a prestigious alumni at Y Combinator , it's great to see your start up grow! Congrats on the recent 3.5$ raise 🔹 Punto Health AI biomarkers for Alzheimers and mild cognitive impairment with Anna Muñoz Farré . From a personal point of view, this one is huge- I have spent many days running the Cognitive clinic at King's College Hospital, there is a real lack of reliable biomarkers for cognitive conditions, and this one presents a huge burden world-wide. My researcher brain is very very excited for this one!! 🧠 Bonus Pick 👀 🔹 MEGI Health - Watch this one closely. Dynamic duo Nina Sesto, PhD and Ines Knezevic, MBA are out to tackle the global pandemic of cardiovascular disease with a personalised heart health assistant. MEGI is already helping thousands of patients in Europe and the feedback is excellent, now they are set to deploy in the UK. Did we miss anyone out? 🤔 Listen to the rest of the Dev&Doc ep20- "Derrick Khor - how to build a successful healthcare start-up, regulation, research and market" -------------------------- 👋 Join Dev and Doc: AI for healthcare for the latest news, education, and deep dives in AI for healthcare! We are two individuals living and breathing healthcare & AI- We are working on the hospital frontlines delivering care to patients. We are building, designing and implementing AI models in the NHS. We are active academics and AI researchers.👨🏻‍⚕️🤖 LinkedIn Newsletter https://lnkd.in/eRXECsFC YT - https://lnkd.in/ey3mxsuN Spotify - https://lnkd.in/ecFRTN9R Apple- https://lnkd.in/ewJ8Yntt Substack- https://lnkd.in/e_XV4Pbz

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Healthcare AI CANNOT scale without robust data pipelines. But how do we practically build one within the NHS? There are many 𝘵𝘩𝘦𝘰𝘳𝘦𝘵𝘪𝘤𝘢𝘭 conversations on how we should unlock the value of #data in healthcare, but not many who have 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 done the hard work. Rebecca Pope, Ph.D. and her team at Roche are the latter. In their most recent paper, they shared their experience collaborating with Great Ormond Street Hospital for Children NHS Foundation Trust over the past 2 years to build a data ecosystem that enables AI solutions to be built, deployed and scaled. 💎 𝐓𝐡𝐢𝐬 𝐰𝐚𝐬 𝐨𝐧𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐩𝐚𝐩𝐞𝐫𝐬 𝐈 𝐫𝐞𝐚𝐝 𝐭𝐡𝐢𝐬 𝐲𝐞𝐚𝐫. Real and pragmatic, it goes deeply into the practical challenges of working with the NHS and how they overcome them, be it: 🏛️ Establishing the right governance framework 🔬 Overcoming intellectual property negotiations 💻 Technical infrastructure challenges 🥼 Clinical engagement 📃 Project management I worked with Rebecca to create this carousel to serve as a helpful guide for any healthcare #AI company looking to work with the #NHS to develop innovative solutions. 😊 Do have a look and let us know what you think! ♻️ Please repost if you found this helpful! Hassan Chaudhury HonFAPM | Hatim Abdulhussein | Lucy O'Neill | Haris Shuaib | GOSH DRIVE | Pavithra Rajendran, Ph.D. | William Bryant | Shiren Patel |

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🚀 𝐓𝐞𝐦𝐩𝐮𝐬 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐞𝐬 𝐨𝐧 𝐢𝐭𝐬 𝐟𝐢𝐫𝐬𝐭 𝐭𝐫𝐚𝐝𝐢𝐧𝐠 𝐝𝐚𝐲, surging 15% and signalling strong investor interest in health tech with 𝐀𝐈 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥! 🚀 The remarkable debut of Tempus, a health tech company utilising AI for personalised medicine, resulted in a 15% stock increase on its initial trading day. 🌟 #HealthTech #AI #Innovation #InvestorAppetite #HealthcareRevolution #TechTrends

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All you need is an explanation? 🗣 ❓   I enjoyed the latest joint RSM Digital Health Section and @Dev&Doc podcast featuring Dr Annabelle Painter, Dr Josh Au Yeung, Zeljko K. on #XAI.   𝐓𝐡𝐢𝐧𝐠𝐬 𝐦𝐞𝐧𝐭𝐢𝐨𝐧𝐞𝐝 𝐭𝐡𝐚𝐭 𝐈 𝐟𝐨𝐮𝐧𝐝 𝐢𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐢𝐧𝐠: 🧠 We need to trust a solution to accept it's decisions, and part of trust is understanding why - therein lies why we find explainability so important but actually it really boils down to our ability/willingness to trust?   🧠 We frequently use the terms ‘#explainability’ and ‘#interpretability’ with respect to AI as interchangeable, but they mean 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵 things (see: https://lnkd.in/eKuNMbXx.)   🧠 When we talk about explainable AI – do we mean explainable for each decision or how the system as a whole is working or both? And are they equally important? Also, could we even understand it or find it relevant (e.g. complex mathematical reasoning).   🧠 Whilst we expect AI to be explainable, is this a double standard when we don’t even know sometimes how humans make decisions? 🤷‍♀️ When referring for specialists/tests sometimes we have ☑ that says ‘clinical concern’ for when we can’t explain why a patent needs help – so if we can’t always explain our own intuition and make allowances for that, maybe we need to for AI? 🤔   💡 Fascinating point re: whether having an explanation makes doctors more likely to accept a false result. So could this actually worsen our over-reliance to AI? 😨  Something I saw raised in a Nature letter here published on explainable AI in dermatology. Interesting debate - article: https://lnkd.in/eG8AW_DS  Letter: https://lnkd.in/eYMCuTgv, Response: https://lnkd.in/ebZX_hhS   👩 I agree that sometimes we do anthropomorphise AI and treat it like a human than a tool and that expectation could be dangerous. Lauren Oakden-Rayner gave a lecture several years back and discussed a 2015 study about how pigeons 🐦 could detect breast cancer on pathology images (https://lnkd.in/eD3beHN2 😂 ) and argued how they could be seen as a kind of ‘model’ outputting binary classification with high accuracy but we’d never dream of thinking of a 🐦 = 👩, yet we do this comparison with AI.   🤖 The topic of human-AI interaction and decision making cropped up a few times as an area of much needed research – although I’m certain there must be a lot out there given all the courses/degrees/jobs related to #HCI and #UX? No?   Anyway - lovely episode! Would enjoy hearing from anyone working on exciting projects that cross behavioural & social science / medtech. Always a fan of Freakonomics and how predictably unpredictable we can be with decision making…!

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🚨 AI in Healthcare: Opportunities & Risks for the NHS 🚨 With over 7M patients on the NHS waiting list and 100,000 staff vacancies, Artificial Intelligence (AI) offers transformative potential: 💡 Opportunities: Enhanced Patient Care: AI spots risk factors for chronic conditions and improves diagnostic accuracy. Efficiency Boost: Automating admin tasks (e.g., scheduling, capturing consultation notes) reduces staff burden. Personalized Treatments: Generative AI forecasts patient outcomes, enabling tailored interventions. 🔍 Challenges & Risks: Accuracy Matters: AI outputs must be verified by trained professionals to prevent errors. Data Privacy & Trust: Concerns about misuse of patient data may deter individuals from seeking care. Inclusivity: Equitable access to AI advancements is essential to avoid healthcare disparities. Key Takeaways: 🛠 Collaboration is critical—healthcare staff, patients, and policymakers must engage early in AI's development. 🔐 Safe, secure, and representative use of data is vital for AI adoption. 🌍 Innovation must benefit all communities, reducing the NHS's economic burden while building trust in AI-driven care. AI could be a game-changer, but success hinges on responsible implementation and trust-building. What are your thoughts on AI's role in healthcare? 💬 https://lnkd.in/d_TppZdz #AIinHealthcare #NHS #DigitalHealth #Innovation

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A really great piece on the experiences and learning of a company collaborating with the NHS with AI. Well worth a read!

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The Economist highlights productivity as a pressing problem within the UK National Health Service, just as it is the case in other countries. I'm proud that the AI-backed data platform of DEO.care, succeeds time and time again to increase surgery volume in #hospitals and #ASC's in both Europe and the US while at the same time reducing the fatigue of the surgical teams involved. That way we can help keeping #healthcare viable. #medtech #digitaltwin

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𝗛𝗼𝘄 𝗦𝗵𝗼𝘂𝗹𝗱 𝗪𝗲 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲? 🏥💡 As generative AI technologies like #ChatGPT and others rapidly advance, regulators face a unique challenge in adapting traditional frameworks for healthcare. Current FDA regulations, designed for specific drugs and devices, fall short when applied to AI models with vast and evolving capabilities. A novel approach is needed — one that treats these AI systems more like human clinicians, requiring rigorous training, supervision, and periodic reassessment. While challenges such as AI "hallucinations" and transparency in training data remain, a thoughtful regulatory framework can ensure these technologies safely enhance clinical practice. I was recently invited to deliver three keynotes during the 82nd International Pharmaceutical Federation (FIP) World Congress of Pharmacy and Pharmaceutical Sciences 2024 in Cape Town, South Africa from 1-4 September. During these sessions, I emphasized that we need a completely new approach and framework to regulate AI in healthcare — fully aligned with these insights. The future of #Healthcare and #HealthTech depends on it. 🚀 Special thanks to my friend Prinesh Reddy for sharing that article with me 🙏 #AIinHealthcare #GenerativeAI #DigitalHealth #Innovation #FIP2024 #FIPCongress Lars-Åke Söderlund (Exec MBA) Vice President Harvey Castro, MD, MBA. Professor Shafi Ahmed Dylan Attard MD, MRCSI, MEnt. Alex Diaconu Dr. Martha Boeckenfeld Dr. Khulood Alsayegh Dr. Mariam Mohamed Fatima Matar MD Phd Dr. Meshari F. Alwashmi Fady Hannah-Shmouni, MD FRCPC Xiaochen Z. Ricardo Moraes Virgilio Gibbon Ana Araujo Hassan Chaudhury HonFAPM Vijay K. Luthra Pilar Fernandez Hermida Jijo James Rémy LEVASTRE

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ECOSYSTEM VISUALIZATION OF THE DIGITAL HEALTHCARE INDUSTRY ⬇ ▫️Market segments have been depicted as actors for better readability. ▫️The grey rectangles around multiple market segments represent generic roles. ▫️To further improve readability and reduce complexity traditional generic roles have been omitted (manufacturer, purchaser, investors and consultants, political and humanitarian groups, researchers, and regulators) as well as the value streams between cloud service provider and information platforms, fiscal and market intermediaries, and services for remote and on-demand healthcare. ✍ Hermes, S., Riasanow, T., Clemons, E.K. et al. The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Bus Res 13, 1033–1069 (2020). DOI: 10.1007/s40685-020-00125-x

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Our HealthTech Ecosystem is a village. Here are some helpful villagers and why: 1. Hassan Chaudhury HonFAPM - Brilliant connector and joiner of worlds. 2. Keith Grimes - Genuine clinical AI expert and practitioner. 3. Dr Hugh Harvey - Clinical Regulation Master. 4. Liam Cahill - NHS Sherpa to HealthTech companies. 5. Liz Ashall-Payne - Empowering companies with DTAC compliance. 6. Dr. James Somauroo - HealthTech Marketing done brilliantly. 7. Dr. Vishaal Virani, MBBS - Taking clinical content creation to the next level. 8. Dr Avi Mehra - Unveiling key opportunities in HealthTech. 9. Rachel Murphy - Supporting healthcare business to scale and exit. 10. Yasmin Karsan - Putting clinical safety into healthcare technologies. 11. Aahuti Rai - Helping healthcare businesses grow and flourish. 12. Kevin McDonnell - Leadership and strategy in the wild wild west. 13. Dr Thomas Maggs - Connecting health companies with health professionals. 14. Anushka Patchava MD, MBA - Driving growth and value for healthcare companies. 15. Dr Saira G. - Evidence generation and cybersecurity expert. And so much more! Our village is only as valuable as our villagers. 👇 Who else have I missed? (I am sure I've missed loads!)

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Using #AI to spot #diabetes, up to a decade in advance. Imperial College Healthcare NHS Trust and Chelsea and Westminster Hospital NHS Foundation Trust are using #AI to checks patients' ECGs for subtle early warning signs of #diabetes that are tricky to detect. As part of the trial, about 1,000 patients in the two hospitals will have ECGs read by an #ArtificialIntelligence system to detect & predict #diabetes.   https://lnkd.in/erkCy3fU

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Can LLMs be truly explainable? What are the methods we can use to understand how a model works? Is explainability a essential requirement for Clinical AI? 🤔 🔹This episode was a merging of Dev and Doc and Dr Annabelle Painter from Royal Society of Medicine's digital health section podcast. (it was only a matter of time for these two great podcasts to join forces 😉) 🔹We sit down to deep dive into the fascinating topic of explainable AI, methods to interpret models, research on how we can understand deep learning models and LLMs. 🔹 As usual Dev Zeljko K. gives us an amazing technical overview of old and modern approaches including heat maps, pertubations, LIME techniques 🔹We highlight the importance of behavioural science of the clinician AI relationship, how that can lead to automation bias and "placebic information". 🔹It was a lot of fun and a pleasure to sit down and chat together. Feel free to check it out! Link in comments :) -------------------------- 👋 Join Dev and Doc: AI for healthcare for the latest news, education, and deep dives in AI for healthcare! LinkedIn Newsletter https://lnkd.in/eRXECsFC YT - https://lnkd.in/ey3mxsuN Spotify - https://lnkd.in/ecFRTN9R Apple- https://lnkd.in/ewJ8Yntt Substack- https://lnkd.in/e_XV4Pbz

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The Redmoor Digital Maturity Index helps GP practices and PCNs by collating and visualising a wide range of national datasets in one place. We are currently offering free 30-minute consultations to unlock actionable insights from your data. We'll discuss your current digital health strategies and identify key areas to optimise, ensuring they align closely with your objectives. Contact the Redmoor Team today https://ow.ly/lNTG50RyUek to book your free consultation and lead the way towards digital excellence. #primarycare #digitalmaturityindex

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2025 will be a referendum year for Digital Health startups - as true “Substance” separates itself from the overfunded “Hype” of 2021/2022 👇 The last few years were both Good and Bad for Digital Health. The Good was that interest in Digital Health accelerated and health systems tried lots of new things. The Bad was that the bar for funding was often low… sometimes SO low that money was wasted - either on health systems paying for stuff that didn’t work or on startups “over-eating” investor funding. But by 2024, the healthcare market started to wake up to the idea that you just can’t pay for or fund cool ideas. You couldn’t just buy-in to Hype. Unfortunately that meant Digital Health startups that viewed pilots with brand name logos and millions in funding from famous investors as “success” started to pay the price. It also meant Digital Health deployments funded by grants, which didn’t solve real problems, started dying off too. Hype is all fun and games… until the reckoning comes. And now that the reckoning is coming, all that matters are Digital Health solutions with real Substance: → Deployments that actually go-live on time → Solutions that actually fit the clinical workflow → Innovations that actually have proven integration partnerships with EHRs → Solutions that deliver proven ROI via improved clinical outcomes and financial performance So yes 2025 will be the year Digital Health swallows some tough medicine. But we will be better off for it. Not only because the money isn’t there anymore to fund the Hype… … but because our patients deserve Substance. Caveat: I might be totally wrong since the AI hype emerged in 2024 - but I trust my CMIO and CIO friends to tame that beast 😁

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