RWE for Service Transformation
Leveraging big data to translate novel insights into sustainable change
Leveraging big data to translate novel insights into sustainable change
NHS Community and Mental Healthcare Provider
The local clinical commissioning groups (CCGs) were dissatisfied with the responsiveness of services provided to their patient populations and disappointed in the fragmented model of service delivery. They wanted service improvement in the form of devolved multi-disciplinary teams or a new service provider. However, services were already heavily vested in silos and staff were highly resistant to change, believing that traditional models worked best.
A postcode to ward mapping algorithm was used to link data from the providers activity database; socioeconomic data from the local government; health need assessment data from the general physician’s databases and provider service activity data. A spatial/graphic mapping exercise highlighted areas of over provision and, more significantly, areas of under provision, in addition to stark inequities in provision across the geographic area.
The evidence cemented the need for change in the hearts and minds of healthcare professionals across the service silos. Multi-disciplinary teams were established and targeted healthcare prevention and response programmes put in place to address unmet needs at CCG level.
SAS Graph
The data profiling methods deployed for this project are commonly used to generate consumer insights in the FMCG sector. Transference of methods from other sectors can deliver outstanding results in the healthcare sector, when an understanding of analytical and translational methods is combined.
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