Using machine learning to identify factors that increase number of appointments per pathway


30 Second Summary

The new EPP data set offers the most comprehensive view of elective pathway activity. Currently, the reasons for varying appointment numbers are unclear, but one theory is that longer waits lead to sicker patients and more appointments. This project plans to use Machine Learning to investigate this further.

Machine Learning
Explainable AI
Patient Pathways
Waiting Times
Casual Analysis
Authors
Affiliation

Sarah Mole

NHS England

Sophie Tuley

NHS England

The new EPP data set combines data to create the most complete version of elective pathway activity we have ever had. At the moment we don’t know why some people/pathways have more appointments than others, but one theory is that long waiting times result in sicker patients which results in more total appointments.

This project plans to use Machine Learning methods to try to unpick this.