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Population Health Management (PHM) has the potential to drive a fundamental shift from reactive to proactive health and social care for our communities, giving ICSs the tools,
information and understanding needed to improve the health and wellbeing of their population.
However, embedding PHM within health and care systems can be challenging, with integrated infrastructures, data sharing and analytical capability needed to enable this shift to take place.
We are experienced in working with systems to establish the culture and mindset required for meaningful change. We can deliver an end-to-end PHM support offer or tailor specific elements to your existing priorities and stage of the PHM journey.
Our holistic PHM support is provided in six key areas:
Our key strengths and expertise:
We have an excellent track record in developing and supporting PHM approaches for systems, places and neighbourhoods, underpinned by optimal data management, bespoke insight tools and expertise in designing evidence-based models of care.
Our highly skilled data and analytics workforce comprises experience in data management, data science, data engineering, information governance, information and analysis, advanced analytics, health economics and public health which can be quickly mobilised to supports ICSs on their PHM journey.
As a national processor of data for commissioning, we have access to a wealth of health and care data which is curated and linked with local datasets within a secure data management environment. By combining our unrivalled access to data with cutting edge analytical developments – including in-house developed portals, dashboards and models – we deliver actionable insight that supports effective strategic, operational and clinical decision-making.
Our PHM analytics and decision support solution will help you to:
Arden & GEM already supports health systems to design and develop their individual PHM solution. Find out more about our work by accessing the resources below.
Mid and South Essex ICS and Arden & GEM describe how they have taken a multidisciplinary team approach to co-design a strategic data and analytics platform which provides staff across the ICS with the intelligence needed to plan and deliver priorities, using population data to enable more informed decision making.
Arden & GEM is pleased to announce that we will be exhibiting at NHS ConfedExpo 2023.
Eleven members of Arden & GEM’s Business Intelligence team have successfully completed a six month development programme to improve their analytical knowledge and skills.
When NHS Bedfordshire, Luton and Milton Keynes (BLMK) ICB needed population health comparator and benchmark information at a place, PCN and GP practice level, Arden & GEM’s business intelligence team set about developing a new suite of dashboards.
Arden & GEM has been shortlisted in two categories at the inaugural HSJ Digital Awards.
Arden & GEM has been working with the Department for Health and Social Care to develop a new national system to collect and link adult social care data with health data, which is already helping to provide a holistic picture of patient journeys and support care planning.
Rose Taylor, Healthcare Solutions Director, Arden & GEM has been invited to speak at the upcoming AWS Public Sector Day 2023 (London, 21 March 2023).
Arden & GEM’s Advanced Analytics Unit will be joining the NHS Data Conference on 23 March 2023 to share how better use of data is enabling PHM approaches in Bedfordshire, Luton and Milton Keynes (BLMK) ICS.
With net zero targets, green plans, carbon reduction plans and procurement legislation, social value in the NHS is not optional. Our Social Value Lead, Becky Jones, looks at how progress can be made by ICBs in this latest blog for Healthcare Leader.
Arden & GEM’s Advanced Analytics Unit created a dataset and population profiles for children and young people in Milton Keynes to help the ICB and local PCNs identify areas of concern and use resources more effectively.
If you’d like to find out more about population health management, please contact us here: