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Insight News NHS trust

Queen Elizabeth Hospital King’s Lynn 2024-2030 strategy highlights plans for EPR and ‘digital first new hospital’

The Queen Elizabeth Hospital King’s Lynn NHS Foundation Trust (QEH) has published its new strategy for 2024-2030, with digital and data highlighted as one of nine “essential focus areas”. The strategy sets out an aim to improve care access and efficiency through use of technology and enhancement of overall digital […]

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Ireland HSE’s Digital Health Roadmap in focus, with aim for digital budget between 4% – 6% of overall healthcare expenditure

Ireland’s Health Service Executive (HSE) has published its Digital Health Roadmap, setting out a vision to create better health outcomes through a digitally enabled environment around six core principles: the patient as an empowered partner; workforce and workplace; digitally enabled and connected care; data-driven services; digital health ecosystem and innovation; […]

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Jersey’s Health and Community Services updates on electronic patient records, e-referrals, e-prescribing

The Gouvèrnément d’Jèrr (Government of Jersey) Health and Community Services have shared the 2024 annual report for quarter two, providing an overview of the department’s improvement plans and performance reporting for the year in key areas including its electronic patient records programme, e-referrals, e-prescribing, and progress on waiting times and […]

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South Yorkshire ICS publishes data and insights strategy for 2024-2026, sharing plans for data platform and alliance

South Yorkshire has published its data and insights strategy for 2024-2026, setting out ambitions to build an intelligence-led system using data to improve health and wellbeing outcomes and experiences, with focus on evaluating care pathways, improving population understanding and tackling health inequalities. The strategy sets out a number of key […]

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Study highlights limitations of large language models around clinical diagnosis, interpretation of results and integration

A study published this month in Nature Medicine journal evaluates the limitations of large language models (LLM) in clinical decision-making by exploring their accuracy, with the research team highlighting reported challenges with diagnosis, interpretation of laboratory results and safe integration into existing workflows. For the purposes of the study a […]