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The Health Foundation commissioned NHS Arden & GEM to examine how productivity in the NHS is currently assessed and how it should evolve. The report authors discuss their findings in this article for Healthcare Leader.
The pioneering NHS AI Lab, initiated by the Department of Health and Social Care and NHS England, has been independently evaluated by the University of Edinburgh and NHS Arden & GEM CSU to share insights about how we create a more conducive environment for future AI innovations.
NICOR Business Manager, NHS Arden & GEM’s Bronya Glet, shares her proudest work achievements and career aspirations in this latest Q+A.
Apprentice App Developer for NHS Arden & GEM’s BI team, Mohammed Khan, shares his proudest work achievements and his career aspirations in this latest Q+A.
Helen Duckworth, our Director of Business Intelligence Transformation, considers the common challenges and key aspects providers need to consider, both individually and collectively, to prepare for digital and data opportunities in this article for National Health Executive.
Thanuya Mampilly, Digital and Transformation Lead at Central Basildon PCN, shares her experience of using the Athena strategic data and analytics platform.
Elizabeth Rushton, Operational Service Manager for Arden & GEM’s Business Intelligence service desks, shares how she got into the NHS and her proudest achievements to date in this latest Q&A in our BI Careers series.
Ben Russell, Senior Programme Manager for Population Health Management at Mid and South Essex Integrated Care System, shares his experience of using the Athena strategic data and analytics platform.
Effective engagement with primary care is key, both in building a consistent understanding of PHM and in designing achievable interventions which benefit patients, practices and PCNs, says Katie Mullard, Clinical Lead Nurse at NHS Arden & GEM, in our latest article for Healthcare Leader.
Arden & GEM's Head of Data Science and BLMK ICB's Associate Director of Contracting and Business Intelligence explain how an early warning system is enabling clinicians to shift from reactive to proactive diabetes care leading to earlier, more effective interventions and improved outcomes.