Understanding patient pathways, health events, inequalities and treatment outcomes relies on robust patient-level linked data. Putting in place a common data model allows this data to be more easily accessed, analysed and utilised to inform Population Health Management.
Arden & GEM provides patient-level linked data models, designed to standardise the structure and content of multiple observational datasets, to enable efficient analyses that can produce reliable evidence.
We can support you to put a common data model in place across your health and care system so that analysis and research on federated datasets can be easily undertaken, transferred and reproduced.
Our data model development for patient-level linked data assets includes:
- Building to the Observational Medical Outcomes Partnership (OMOP) data standard or local population health requirements, as required
- Patient-level linked data from primary, secondary, mental health, community and adult social care
- Mapping of further data assets
- Ability to add tables and fields to meet bespoke user requirements
- Direct access within analytics environments
- Standard query libraries
- A user community and network.
Our data models facilitate a more easily accessible data asset so that greater insight can be derived from data to inform planning and decision-making intended to improve outcomes, reduce cost and increase quality.
Why Arden & GEM?
We are experienced in the delivery of a range of data models including our population segmentation model, SMITH and the OMOP Common Data Model.
Our team works closely with customers to build data models that meet the needs of their health and care system drawing from knowledge of best practice, industry standards and techniques that have worked for other clients.
The result is a standard approach to support population health analytics and federate data assets for research.
CASE STUDIES
Arden & GEM is already helping healthcare systems to deliver patient-level linked data. Find out more by accessing the resources below.
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.
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.
CONTACT US
If you’d like to find out more about our Patient-level Linked Data Model please contact us here: