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)
Authors
Affiliation

Rhianna O’Connor

Dorset Council

James Roberts

Dorset Council

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.