A&E Admissions Forecasting Dashboard

Healthcare Analytics Programme

The brief

A national health-service analytics programme had a forecasting model that predicts accident & emergency admission rates, built in collaboration with the health service’s own data teams. Working alongside the programme, our role was to turn its output into something clinicians and operational managers could act on.

What we built

We delivered the front-end dashboard on Palantir Foundry, using Python and PySpark for the data layer and TypeScript and React for the interface. We developed it to the supplied designs with minimal supervision and inside a tight delivery window.

Outcome

The dashboard updates on a live basis and is used by a range of end users across the health service.

A&E Admissions Forecasting Dashboard