Population segmentation of GP-registered population in Dorset

30 Second Summary

This project aims to develop a machine learning-based population segmentation model for the GP-registered Dorset population, using multiple characteristics including healthcare utilisation. The goal is to identify segments based on care needs to inform service design, enhancing patient understanding and improving resource allocation.

Machine Learning

Unsupervised Learning

Primary Care (GPs)

NHS 10-year plan shifts: Sickness to Prevention

The aim of this project is to create a machine learning-based population segmentation model for the GP-registered Dorset population using multiple characteristics including primary and secondary healthcare utilisation.

We want to identify population segments based on care needs to inform service design.

This has the potential to provide enhanced patient understanding leading to improved resource allocation.

10-year plan Alignment

“NHS 10-year plan shifts: Sickness to Prevention”: segmenting the GP-registered population by care needs to inform proactive service design, supporting earlier identification of population health needs.