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Richard Jones


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About Richard Jones

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  • Country
    United Kingdom

About me

  • About me
    C2-Ai is one of 10 Essential Digital Health Ideas for a UK National Covid Response according to Healthcare UK and could save 70,000 lives, £1bn and 2m bed-days across the NHS annually.

    Richard was a COGX keynote speaker on the Global Leadership stage and won (with C2 Ai) two awards including the prestigious Overall Tech4Covid award.

    With over 30 years spent in advanced technologies, Richard has extensive experience as an entrepreneur, in strategy development, business planning/modelling, and creating commercial implementations for companies. He has co-founded businesses across four continents that have delivered up to 300x returns on first round.

    He was the only private sector member of a national regulator’s synthetic AI patient record and medical AI software validation project. In addition to his work at C2-Ai, he holds positions in an Ai/High Performance Computing business, an Ai-based healthcare company, a stealth mode Ai start-up and telecoms businesses in the UK and Africa. He is the author of three business books translated into multiple languages.

    Richard received an MBA with distinction from the Warwick Business School and will be restarting a doctorate in technology strategy when he finds a spare moment or ten.
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    President and Chief Strategy Officer

Recent Profile Visitors

245 profile views
  1. Community Post
    If ice cream and dalmations are ever in a hospital context.. I want to be there.
  2. Community Post
    The classic dogs and muffins image has been beaten in my mind by this. How do you tell the diference between dalmations and ice cream? Imagine how hard this will be for AI. This level of find discrimination necessary is why AI is not easy.
  3. Community Post
    There are some companies working on the control of longitudinal patient records using blockchain. Can't believe I didn't drop that word in previously. Thanks for the thoughts. I'm generally aligned with your thoughts on use of my data.
  4. Community Post
    I think many of us in the industry are still wondering about access to data and who should have it. NHS Digital do a great job of protecting access to health records and as one of the companies that has earned the rigth to access the national records, I can say it is a very rigorous process to maintain that privilege. More broadly we are seeing companies get in trouble for using data in the wrong way from individual hospitals, non-anonymised records being shipped (by mistake) to a company and other things that citizens in some countries (I'm looking at friends in Sweden) would find unacceptable. So who owns your data? Are you happy for it to be sold or just passed on to companies, or do you want the opposite end of the spectrum where you have control over it and sharing beyond your direct health providers requires your consent (and maybe.. whisper it quietly.. payment). There is no one right answer but I'm fascinated by how we deal with data and a swing the door open policy and let favoured companies get access to it willy nilly doesn't seem like the smartest idea. But maybe I'm wrong...
  5. Community Post
    Absolutely. Also there is the rush to apply things at present which perhaps erodes some of the safety processes. Your point is why I was involved in a project to deliver synthetic data to then test software against a dataset that would highlight the efficacy or otherwise of the results.
  6. Article Comment
    Hi @Clive Flashman. I suspect many of us, when told not to look up an ailment online, do the exact opposite. The availability of information has changed in our lifetimes beyond all recognition. However, the quality of that information has also changed. Previously there were limited number of experts and now we have sources at our fingertips. The danger is with misinformation and an inability to know what is correct and what is not. The vaxxer/anti-vaxxer argument is perhaps a prime example or the use of bleach and other products to combat Covid-19. However, I think patient involvement in their own care is vital and if patients can't learn about illnesses etc. themselves, it is beholden on the clinicians to get them to a level of informed consent. I had a good experience recently where the doctor listened to my own ideas about how to deal with an issue and agreed it was sensible. The challenge will be to know what information is accurate and for clinicians to integrate that into discussions that are now done remotely in many cases and in time poor situations. I'd suggest that social media platforms are not the best place for an unbiased view on life and death matters though. There are plenty of websites that specialise in quality medical content that might be better choices for peer reviewed insights. Final thought, clinicians today are generally more friendly and open to discussion than in my younger days. The 'consultant is god' model seems to have gone but we're clearly not providing some patients with the darned good listening to that they need.
  7. Community Post
    I think there is potential to develop scenarios far quicker and more tailored to particular situations. So for example, you can create AI based images in bulk to show a clinician far more cases than they would normally see and build systems to keep people up to date and up to scratch. You can build subtler cases in bulk to help discrimination between different cases of an illness or disease. You can create synthetic data sets to test medical software and build in whatever bias you need to truly test something by packing the data with suitable case profiles while actual anonymised data may have only a handful. So there's lots of potential. But true AI software can modify itself and will not always give the same answer... so we need to be careful about the application and also remember the basics. Surgeon told me a story about a relative who had died and their x-ray. He asked the doctor who looked after his mother to comment on the x-ray which they did. Lots of comments on thumbprint marks etc. but actually completely failed to notice the name on the x-ray was not the name of the relative. It wasn't their x-ray. So as smart as we get.. we still need discipline and people like PSL helping staff set the right standards, do the right thing and be able to point out poor practice in a safe way.
  8. Community Post
    The wonderful team here at Patient Safety Learning think we need to talk about AI and the impact it can have on healthcare. So I'll be putting up a few topic starters in here but feel free to use this space and start your own conversations. AI means two things at the limit. It means software can change without instruction and the answers can sometimes change between a 'yes' or a 'no' for the same question. So how do we build safe, dependable applications that incorporate AI? How do we test them? How do we approve them? In the pandemic there is a rush to deploy solutions that is a commendable change of pace but at what cost? We should have authentic conversations here and I'm looking forward to discussing the topics above and many more with you. Ricahrd Jones
  9. Content Article
    A significant backlog of elective surgical cases has built up during the COVID-19 crisis. The freeze on elective surgery has produced a waiting list that may take years to clear. In the US, the CDC has issued guidelines that "facilities should establish a prioritization policy committee consisting of surgery, anesthesia and nursing leadership to develop a prioritization strategy appropriate to the immediate patient needs". According to the CDC, this committee should work around 'objective priority scoring'. The MeNTS (Medically-Necessary, Time-Sensitive Procedures) instrument is a clever attempt to deliver this scoring, responding to availability of resources and the situation around COVID-19. However, the key challenge is that that the list needs to be prioritised in a way that reflects patient needs and ensures their safety. This is not something that MeNTS can deliver. It also is built around COVID-19 related limitations on resources and this will vary in significance depending on the hospital location and where it is in the journey out of lockdown. The risks of mortality and complications for a patient are a complex combination of the severity of the procedure and the physiological variables of the patient. As an example, a 55-year-old undergoing a radical laproscopic prostatectomy has a risk of mortality of 1.6%. However, if the patient has low blood pressure, that risk triples. If the patient also has low sodium then the risk is 10 times higher [C2-Ai insights]. The spectrum of different operations and key physiological variables creates at least 40 million potential combinations and hence risk. This is hard to manage with one patient but trying to prioritse a group of 5, 10, 100, 1,000 or even 10,000 becomes unmanageable. New patients will be joining the list while others leave following their procedures and so triage of the list will not be a one-off event. The list will need to be populated and triaged intelligently and in a consistent way repeatedly at least until there is a return to ‘normality’. There is evidence that some trusts are attempting to build their own systems for prioritisation. This may be possible around matching operative type and resource availability but the efficiency of these systems overall should be a concern. Best intentions are fine but, when reviewed later, the ability to correctly prioritise patients to minimise harm and mortality is likely to be limited if not flawed. C2-Ai’s COMPASS Surgical List Triage system is an example of a system that can support evidence-based triage and individualised risk assessment of patients, while supporting the objectives of the CDC. It supports clinical decision making across all phases from crisis back to steady state. It has been developed by the creator of the POSSUM system and is built around the world’s largest patient data set (140 million records from 46 countries) through the support of NHS Digital. The underlying algorithms are constantly refined against new and existing data sets to ensure relevance and accuracy. The Surgical List Triage tool combines the mortality and complication risks from the different patients to derive the prioritisation. The system carries out bulk assessments using individualised risk assessments for each patient. These reflect the operative type and their physiology to calculate the risk of mortality and complications, as well as providing a detailed breakdown of potential complications with percentage probability with a simple click. This system also suggests patients that should be reviewed for potential optimisation before any procedure. The physician can click on the link to see the detailed risks for the patient to support their decision making. The system can be used regularly to maintain the logic and integrity of the elective surgical list. This is superior to the potentially fragmented approach where parts of the list are manually considered in isolation as this cannot support effective optimisation of the whole list and the absence of any supporting evidence means the triage will vary enormously. COMPASS SLT is an evidence-based approach that supports optimal ordering of the list and clinical decision making that reduces avoidable harm and mortality. This in turn reduces variation, and cost while freeing bed capacity and also allowing the list to be tackled more quickly. When a patient comes in for the operation, an individual risk-assessment can be done using the COMPASS Pre-Operative Risk Assessment app. This provides a final check on whether the patient’s condition would justify optimising their condition before their procedure. However, it also details the most likely post-procedural complications individualised for the patient and their condition. That allows the treatment pathway to be tailored to that patient as well as recruiting the patient into their own recovery. For example, knowing that chest infection is the highest risk for a patient supports a conversation with them to stress the need for them to get up and about on the day of the operation. As an aside, the risk of mortality and complications can also be used as a strong element in showing informed consent has been obtained from the patient. In combination, these tools can provide a platform to support effective and ongoing triage of the list while reducing harm and unnecessary costs. The systems are currently in use in 12 trusts in the NHS. How are you prioritising waiting lists? We'd be interested to hear and share how you and your trust are dealing with the backlog.