Building a Machine Learning tool to predict Did Not Attend (DNA) events

30 Second Summary

The project develops a machine learning tool that estimates the likelihood of outpatient Did Not Attend (DNA) incidences across different services and demographics. The tool could then be shared with providers to give guidance on how to reduce DNAs.

Machine Learning

Streamlit

NHS 10-year big bet: AI to drive productivity

This project is developing a machine learning-based tool that looks at the likelihood outpatient Did Not Attend (DNA) incidences across different services/demographics.

The tool could hopefully be shared with providers to provide guidance on how to reduce DNAs.

10-year plan Alignment

“NHS 10-year big bet: AI to drive productivity”: building a machine learning tool to predict outpatient non-attendance likelihood across services and demographics, supporting providers to reduce wasted clinical capacity.