Supporting service redesign for children and young people
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.
Understanding the impact of multimorbidity on the NHS
Arden & GEM’s Advanced Analytics Unit used the national segmentation dataset to deliver rich insight into the prevalence, range and cost of multimorbidity within the population.
Measuring health inequalities across the Midlands
To help health and care systems across the region gain a clearer understanding of health inequalities, NHS Midlands asked Arden & GEM to develop a health inequalities dashboard.
Supporting safe and effective delivery of the COVID-19 vaccination programme
The National Immunisation and Vaccination System (NIVS) has played a key role the in safe and effective implementation of the COVID-19 vaccination programme, capturing real time data at the point of delivery for more than 11 million vaccinations in its first year of use.
Generating actionable insights from a bespoke segmentation model
When NHS BLMK CCG wanted to better understand the healthcare needs and consumption of the local population, Arden & GEM’s Advanced Analytics Unit developed SMITH, a bespoke segmentation model, to enable person-level analysis which has informed service planning and commissioning.
Building the COVID-19 provider patient notification system
With a successful track record of building, deploying and hosting bespoke applications, Arden & GEM worked closely with key stakeholders to develop a central system to record COVID-19 patient notifications (the CPNS) in just five days.
Developing a PHM approach for North Norfolk Primary Care Networks
Arden & GEM’s advanced analytics team has developed a population health management approach that identifies new models of care that will improve the health and wellbeing of the registered population.
Developing a clinical registry and outcomes system for hepatitis C
Arden & GEM’s business intelligence team developed a hepatitis C patient registry and treatment outcome system to improve the quality of data analysis to enable effective expenditure planning, inform the creation of new clinical service models and to maximise effectiveness of treatment.
Using system modelling to support pathway redesign
Arden & GEM’s business intelligence and service transformation teams have been working in partnership with Nottingham University Hospitals NHS Trust (NUH), to model the impact that potential service changes can have on meeting cancer performance targets.
Designing a data collection system to improve patient care
When the Advancing Quality Alliance (AQuA) needed a new clinical measures data collection system to support its quality improvement programmes, Arden & GEM was chosen to deliver the project via a competitive procurement on the Lead Provider Framework.