Please complete this short form to get in touch with a member of our team and we will get back to you as soon as we can.
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.
Aaron Atkinson, Associate Director of Business Intelligence at Arden & GEM, shares how he first got into analytics, the importance of putting people first and how to connect the dots in this latest Q&A in our BI Careers series.
Principal Information Analyst at Arden & GEM, Charlotte Shearsby, shares her passion for NHS data and finding lines of enquiry through good storytelling.
Dr Tim Wilson and Ayesha Janjua, from Arden & GEM’s Health and Care Transformation team, discuss how health systems can become responsible stewards of common resources, recognising and incorporating the collaborative working skills needed for success.
Arden & GEM’s Advanced Analytics Unit has developed a case-finding tool, based on a machine learning model, to enable social prescribers to proactively target patients in advance of a GP referral.
Arden & GEM’s Advanced Analytics Unit has created a diabetes early warning system that not only provides near real-time population-level data and benchmarking but also identifies patients with unmet needs for proactive interventions.
Matthew Kendrick, Senior Data Manager at Arden & GEM, reflects on the rapid development of the COVID-19 Provider Notification System and shares stakeholder feedback as the system closes in response to the NHS incident level step down.
We are pleased to announce that Alison Tonge has been appointed as NHS Arden & GEM’s new Executive Director of Strategy and Innovation.
“The best part of my job” by Farah Adam, Data Scientist
Arden & GEM is part of the programme for the first ever national Health and Care Analytics conference, taking place on 11-12 July, to showcase the best work and ideas from across the UK.
As we head towards the first year anniversary of the formal set up of ICBs, we look at a series of examples where stewardship is enabling ICSs to make well-informed, system-wide changes across clinical pathways.
If you’d like to find out more about population health management, please contact us here: