Communications support for the Improving Elective Care Coordination for Patients (IECCP) programme
The Improving Elective Care Coordination for Patients (IECCP) programme engaged the collaborative Communications and Engagement team from NHS Arden & GEM and NHS Midlands & Lancashire CSUs to deliver a communications strategy to successfully recruit trusts to its pilot for a new digital t...
Undertaking a quantitative and qualitative analysis of the virtual ward workforce
The NHS England Elective Workforce Recovery team commissioned Arden & GEM to undertake quantitative and qualitative analysis to identify relationships between workforce and operations.
Workforce modelling support for the NHS England Cancer Analysis and Insights Team
The NHS England Cancer Analysis and Insights Team required analytical support to collate existing demand models and overlay expected workforce supply figures to project how many staff would be needed across different cancer job roles. They reached out to Arden & GEMs Advanced Analytics Unit (...
Developing a strategic data and analytics platform for Mid and South Essex Integrated Care System
When Mid and South Essex Integrated Case System (ICS) identified a need for a system-wide, consolidated, collaborative data and analytics platform, Arden & GEM’s BI team was tasked with co-producing a solution.
Developing outcomes and performance dashboards to improve patient care
Arden & GEM worked with MSE services to develop value frameworks and outcomes measures for six key areas of care in which stewardships groups were established.
Establishing a region-wide data dashboard for the East Midlands Head and Neck Cancer Network
With extensive experience of collecting, analysing and using data to understand and improve patient pathways, NHS Arden & GEM was engaged to work collaboratively with EMHNCN to design and implement a region-wide dashboard and set of associated tools.
Maximising the impact of social prescribing through a case-finding tool using machine learning
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.
Supporting patients in BLMK to better manage their diabetes through an early warning system
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.
Developing bespoke population health dashboards for NHS Bedfordshire, Luton and Milton Keynes ICB
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.
Linking adult health and social care data to improve services
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.