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AI tool that speeds up patient discharges trialled by NHS
Pilot at London trust aims to reduce paperwork and free up doctors, as UK brings AI to public services An artificial intelligence tool designed to speed up the discharge of patients is being trialled at a hospital trust in London. The platform completes documents needed to send fit patients home, potentially saving hours of delays and freeing up beds. Wes Streeting, the health secretary, said the tech will enable doctors to spend less time on paperwork and more time focused on care, cutting waiting times in the process. The platform, which is being piloted at Chelsea and Westminster NHS trust, extracts information from medical records, including diagnoses and test results. This helps medics to draft discharge summaries, which have to be completed before a person is sent home from hospital. The document is then reviewed by healthcare professionals responsible for the patient and used to send them home or refer them to other services. The manual system can sometimes leave patients waiting for hours to be discharged, as doctors may be too busy to fill in forms, the Department for Science, Innovation and Technology said. Streeting said: "This potentially transformational discharge tool is a prime example of how we're shifting from analogue to digital as part of our 10-year health plan. "We're using cutting-edge technology to build an NHS fit for the future and tackle the hospital backlogs that have left too many people waiting too long. "Doctors will spend less time on paperwork and more time with patients, getting people home to their families faster and freeing up beds for those who need them most." The tool will be hosted on the NHS Federated Data Platform (FDP), a software system aiming to make it easier for health and care organisations to work together and provide better services to patients. In January, Keir Starmer, the prime minister, said AI will be used to "turn around" the economy and public services. Elsewhere, the government has announced that technology shown to halve the time probation officers spend organising notes will be launched later this year. The system helps to transcribe and take notes in meetings that probation officers have with offenders after they leave prison. AI is also being trialled across the NHS. The technology will analyse hospital databases and catch potential safety scandals early, providing an early warning system which could detect patterns or trends and trigger urgent inspections. The first NHS AI-run physiotherapy clinic halved the waiting list for back pain and musculoskeletal services. More than 2,500 patients living in Cambridgeshire and Peterborough were able to access Flok Health, a physiotherapy app, over a 12-week period starting in February. And the NHS in England is trialling a "superhuman" AI tool that predicts a patient's risk of disease and dying early. Speaking on a visit to Chelsea and Westminster hospital, the technology secretary, Peter Kyle, said: "This is exactly the kind of change we need, AI being used to give doctors, probation officers and other key workers more time to focus on delivering better outcomes and speeding up vital services. "This government inherited a public sector decimated by years of underinvestment and is crying out for reform. "These AI exemplars show the best ways in which we're using tech to build a smarter, more efficient state. "When we get this right across government, we're talking about unlocking £45bn in productivity gains, delivering our plan for change and investing in growth, not bureaucracy."
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NHS patients to be discharged using AI notes for the first time
"Doctors will spend less time on paperwork and more time with patients, getting people home to their families faster and freeing up beds for those who need them most." Peter Kyle, the Technology Secretary, said: "This is exactly the kind of change we need: AI being used to give doctors, probation officers and other key workers more time to focus on delivering better outcomes and speeding up vital services." The AI tool for discharge summaries promises to improve efficiency within hospitals and provide medical staff with the "gift of time". The software enables doctors to draft discharge documents faster by using the LLM to find key information from medical records - such as diagnoses and test results. It aims to improve what has been described as an "outdated system" in which busy hospital staff were forced to sit down and fill out forms. The Government hopes to use AI to "modernise" services across health, justice, tax and planning. Elsewhere, technology will be rolled out to speed up planning approvals by converting hand-written documents into data within minutes. The Government claims this will slash the hours spent by planning officers who have to manually check such documents. The technology is one of a number of projects backed by Sir Keir Starmer. Earlier this year, the Prime Minister said AI will be used to "turn around" the economy and public services. Referring to the entirety of AI exemplars - not just the NHS - Mr Kyle said when the scheme is rolled out in full, it will unlock some £45bn in "productivity gains".
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NHS to use AI technology to help free up hospital beds
Health Secretary Wes Streeting has said the "potentially transformational" platform is "a prime example" of how the NHS is going digital as part of a 10-year plan. Artificial Intelligence (AI) technology is being piloted to help free up NHS hospital beds being used by people who are fit to be sent home, officials have said. A new platform, currently being trialled by Chelsea and Westminster NHS Trust, uses AI to help fill out the documents needed to discharge a patient - potentially saving hours of delays. The tool extracts information such as diagnoses and test results from medical records, helping staff to draft discharge summaries, which must be completed before a person is sent home from the hospital. The document is then reviewed by healthcare professionals responsible for the patient and used to send them home or refer them to other services. Health Secretary Wes Streeting has said the technology will allow doctors to spend less time on paperwork and more time on patient care, cutting waiting times in the process. The tool will be hosted on the NHS Federated Data Platform (FDP), a shared software system designed to make it easier for health and care organisations to work together and provide better services. The current manual system can leave patients waiting for hours to be discharged as doctors may be too busy to fill in forms, according to the Department for Science, Innovation and Technology. Mr Streeting said: "This potentially transformational discharge tool is a prime example of how we're shifting from analogue to digital as part of our 10-year health plan. "We're using cutting-edge technology to build an NHS fit for the future and tackle the hospital backlogs that have left too many people waiting too long." 👉Listen to Politics at Sam and Anne's on your podcast app👈 The platform is one of a number of projects backed by Sir Keir Starmer, who in January said that AI would be used to "turn around" the economy and public services. In May, the government announced it was rolling out an AI tool to test public feeling on different issues, which it said could save around £20m in staffing. It has also been announced that technology shown to halve the time probation officers spend organising notes will be rolled out nationwide this year.
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The NHS is piloting an AI-powered platform at Chelsea and Westminster NHS Trust to streamline patient discharge processes, potentially reducing delays and freeing up hospital beds.
The National Health Service (NHS) in the United Kingdom is taking a significant step towards modernizing its operations by piloting an artificial intelligence (AI) tool designed to expedite patient discharges. This innovative platform, currently being trialled at Chelsea and Westminster NHS Trust in London, aims to streamline the discharge process, potentially saving hours of delays and freeing up much-needed hospital beds
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.Source: The Telegraph
The AI-powered platform operates by extracting crucial information from patients' medical records, including diagnoses and test results. This data is then used to assist medical professionals in drafting discharge summaries, which are essential documents that must be completed before a patient can be sent home from the hospital
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.Once the AI has compiled the initial draft, healthcare professionals responsible for the patient review the document. Based on this review, they can then proceed with discharging the patient or referring them to other necessary services
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.Health Secretary Wes Streeting emphasized the transformative potential of this technology, stating that it exemplifies the NHS's shift "from analogue to digital as part of our 10-year health plan"
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. The primary benefits of this AI tool include:1
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Source: Sky News
The introduction of this AI discharge tool is part of a larger initiative to integrate AI technologies across various public services in the UK. Prime Minister Keir Starmer has expressed support for using AI to "turn around" the economy and public services
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.Other AI applications being explored or implemented include:
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While the potential benefits of AI in healthcare are significant, it's important to note that these systems are still in their trial phases. The effectiveness and safety of AI-driven healthcare solutions will need to be thoroughly evaluated before widespread implementation.
Technology Secretary Peter Kyle expressed optimism about the broader impact of AI integration across government services, suggesting that when fully implemented, these AI exemplars could unlock up to £45 billion in productivity gains
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. This initiative represents a significant step towards building what Kyle describes as "a smarter, more efficient state"1
.As the NHS continues to explore and implement AI technologies, it will be crucial to balance the potential efficiency gains with maintaining high standards of patient care and data privacy. The success of this AI discharge tool could pave the way for further digital innovations in the UK's healthcare system and beyond.
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