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The implementation of AI and automation is expected to facilitate different aspects of the NHS, including scheduling doctor appointments, organizing surgeries, transcribing doctor's notes and even aiding in the diagnosis of illnesses like cancer. Barclay envisions AI reducing the workload, enhancing productivity and allowing healthcare professionals to focus more on patient care. One of the key initiatives highlighted in the announcement is the commitment to expand the AI stroke diagnosis technology to cover 100 percent of stroke networks by the end of 2023. This expansion seeks to improve the treatment outcomes of thousands of stroke patients by ensuring faster and more accurate diagnoses. The AI Diagnostic Fund will specifically focus on using AI tools in analyzing chest X-rays, the most commonly used tool for diagnosing lung cancer, the leading cause of cancer-related deaths in the United Kingdom. With over 600,000 chest X-rays conducted monthly in England, the deployment of diagnostic AI tools across more NHS Trusts will aid clinicians in diagnosing cancer patients earlier.

Mass migration drives increase in patient numbers, prompting the integration of AI and automation technologies into NHS

The integration of AI and automation technologies into the NHS seeks to address the long waiting lists and strains caused by migration. Back in 2018, the NHS in New England grappled with a looming collapse as the state-run healthcare system struggles to cope with the increasing demands of a sick and dying population. That situation led to the decision of the state officials to instruct hospitals across the country to put a hold on non-urgent healthcare services and prioritize emergency cases. In 2019, 55,000 scheduled operations were postponed as England's health system enters a full rationing mode. The decision came from a severe shortage of hospital beds and staff. The NHS was overwhelmed and unable to accommodate the increase in patient burden. Additionally, thousands of patients in England faced the grim reality of waiting in line for emergency room visits, while countless others were rejected. (Related: Hospital patients in England have to wait up to NINE MONTHS before they get discharged.) One of the driving factors behind the NHS's need for innovation is the strain caused by mass migration and the subsequent increase in patient numbers. As Britain's largest employer and one of the biggest employers globally, the NHS has found it challenging to cope with the demand for its services. Furthermore, the reliance on foreign staff has been worsened by the government's failure to train local doctors and nurses. As the nation's healthcare sector embraces these technological advancements, it remains to be seen how AI will transform healthcare delivery and reshape the workforce within the NHS. Watch David Crabtree slam the former U.K. health secretary's handling of the pandemic as "not fit for purpose."

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