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Showing results for tags 'AI'.
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EventuntilNCRI Virtual Showcase will feature a number of topical sessions, panel discussions and proffered paper presentations covering the latest discoveries across: Big data and AI Prevention and early detection Immunology and immunotherapy Living with and beyond cancer Cancer research and COVID-19 Further information and registration
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Content ArticleAs trusts consider clearing the waiting list, there is an absence of objective approaches to prioritisation. There are 40 million variations of operative type and the NHS elective waiting list may reach more than 10 million. A coronavirus second wave may cause further delays and expansion of the waiting list. This blog from hub topic lead Richard Jones describes a proven approach to prioritising the waiting list built around individualised risk-adjustment for each patient and evolved from the core POSSUM methodology that is widely used for individual risk assessment pre-operatively.
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Content ArticleThe COVID-19 crisis has created a watershed moment for the NHS, demanding a reappraisal of how essential services are delivered to the public. Even prior to COVID-19, the NHS recognised a pressing need to rethink healthcare using user-centred design principles, based on populations, not organisations. With the advent of the pandemic that pressing need has become an operational imperative. Digital capability has been and will continue to be a key part of transformation, but will only work when aligned with reforms in other key enablers such as financial flow, workforce planning and regulation. Many industries have already made the shift to enabling collaboration and innovation through more agile models of delivery by embracing technologies like artificial intelligence (AI), internet of things (IoT) and/or flexible and secure forms of (multi) cloud storage. Health, on the other hand, until now has introduced new technologies with the objective of improving existing pathways and service delivery models. There is now an opportunity to reimagine healthcare, driving true transformation enabled by digital capabilities.
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Content ArticleThe use of artificial intelligence in healthcare is often touted as a technology which can transform how tasks are carried out across the NHS. Rachel Dunscombe, CEO of the NHS digital academy and director for Tektology, and Jane Rendall, UK managing director for Sectra, examine what needs to happen to make sure AI is used safely in healthcare in this article for Digital Health.
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Could telemedicine solve the cancer backlog?
Patient Safety Learning posted an article in Telemedicine
Although millions of patients with cancer around the world face delays in diagnosis and treatment because of the diversion of resources during the COVID-19 pandemic, there is a growing expectation that telemedicine may play a central role in easing the backlog. This Lancet Digital Health article explores how telemedicine will be key as healthcare systems move forward in tackling the backlog in not only cancer treatment but also diagnosis, and how augmented intelligence (AI) could be used to help to optimise its use.- Posted
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Content ArticleThe Royal Society of Medicine (RSM) has exclusive interviews from leading figures in healthcare on their website, these podcasts focus on a variety of topics within medicine and healthcare, covering everything from mental health and paediatric care to the medical workforce crisis and patient safety. In this episode, Kaji Sritharan talks to Dr Dominic King, Health Lead of DeepMind about the role of Artificial Intelligence and the development and introduction of Digital Technologies into the NHS.
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Content ArticleHealthcare is advancing at a quicker rate than ever before. With the introduction of Artificial Intelligence (AI), you can now get a cancerous mole diagnosed with a mobile device. The reliance on technology has never so great. With technology predicted to replace as much as 80 per cent of a physician’s everyday routine, we must question what the new threats posed to patient safety are? This article, written by CFC Underwriting, explains some of the pitfalls of the new technology. CFC is a specialist insurance provider.
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Content ArticleThe use of artificial intelligence (AI) in patient care currently is one of the most exciting and controversial topics. It is set to become one of the fastest growing industries, and politicians are putting their weight behind this, as much to improve patient care as to exploit new economic opportunities. In 2018, the then UK Prime Minister pledged that the UK would become one of the global leaders in the development of AI in healthcare and its widespread use in the NHS. The Secretary for Health and Social Care, Matt Hancock, is a self-professed patient registered with Babylon Health’s GP at Hand system, which offers an AI-driven symptom checker coupled with online general practice (GP) consultations replacing visits at regular GP clinics.
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Content ArticleIn August 2019, the government announced a £250 million investment in Artificial Intelligence (AI) applications for health and care through the creation of the NHS AI Lab. The hope is that over time this investment will enable health and care providers to benefit from the very best data-driven technology and help us achieve our goals for technology use in the NHS and in the care system. This report from NHS X provides a cohesive overview of the current state of play of data-driven technologies within the health and care system. It makes clear where in the system AI technologies can be utilised and the policy work that is, and will need to be done, to ensure this utilisation is done in a safe, effective and ethically acceptable manner.
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Diversity in digital health ‘is a matter of patient safety’
Claire Cox posted an article in Motivating staff
Encouraging diversity in the NHS isn’t simply a matter of inclusion, it’s a matter of patient safety, delegates at the Healthcare Excellence Through Technology (HETT) conference have heard.- Posted
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Content ArticleRisk scores are widely used in healthcare, but their development and implementation do not usually involve input from practitioners and service users and carers (SU/C). This study from Dyson et al., published in BMJ Open contributes to the development of The Computer-Aided Risk Score (CARS) by eliciting views of staff and who provided important, often complex, insights to support the development and implementation of CARS to ensure successful implementation in routine clinical practice.
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Content ArticleJeroen Tas, Philips’ Chief Innovation & Strategy Officer, met with three young and inspiring data scientists to discuss technology opportunities in healthcare. At Philips, the journey towards a healthier and more sustainable world starts with listening to the younger generation and future decision-makers.
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Should we trust algorithms?
Patient Safety Learning posted an article in Data and insight
There is increasing use of algorithms in the healthcare and criminal justice systems, and corresponding increased concern with their ethical use. But perhaps a more basic issue is whether we should believe what we hear about them and what the algorithm tells us. Large numbers of algorithms of varying complexity are being developed within the healthcare and the criminal justice system, and include, for example, the UK HART (Harm Assessment Risk Tool) system for assessing recidivism risk, which is based on a machine-learning technique known as a random forest. But the reliability and fairness of such algorithms for policing are being strongly contested: apart from the debate about facial recognition on predictive policing algorithms says that ”their use puts our rights at risk.”- Posted
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Content ArticleThe COVID-19 pandemic is sweeping across the length and breadth of the UK. As a result, NHS England has issued guidelines for effective triaging of urgent cancer 'two-week wait' referrals. The intention of this guideline is to minimise the disruption to cancer services. In order to fully understand the implications of this manual triage approach, this article, Data-Drive Triage Automation – YouDiagnose’s fight against COVID-19, will first explain the triage process during normal circumstances, and then highlight the additional impacts due to the coronavirus emergency. Finishing with a suggested solution (from YouDiagnose) to improve the efficiency of the triaging process and save lives during the pandemic.
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How AI health chatbots can help stem coronavirus pandemic chaos
Patient Safety Learning posted an article in Blogs
AI health chatbots around the world have been racing to add coronavirus detection into algorithms or put up helpful information to demonstrate they are part of the response to coronavirus (COVID-19). But to be honest, it’s pointless. A symptom checker can’t diagnose you with COVID-19. That can only be done through testing. The symptoms are too close to cold and flu. However, Prof Dr. Maureen Baker, Chief Medical Officer at Your.MD and former Chair of the UK’s Royal College of General Practitioners, has been involved at the highest level of pandemic preparation planning in the UK for decades and she is clear that AI chatbots, like Your.MD, can play a vital role in reducing the number of people who unnecessarily seek medical treatment and the deaths of individuals who are endangered by symptoms unrelated to COVID-19. So, if AI health chatbots can’t reliably detect COVID-19 and should only advise you to stay at home, what else can they do? “They can work in tandem with governments and health services to stop the worried well not at risk from the virus from seeking treatment, and also support people to self-care where that is appropriate,” says Prof Baker. She thinks that with collaboration, there is enormous potential for chatbots to act as reliable companions providing guidance and tracking symptoms.