A&E Admissions Forecasting Dashboard

Healthcare Analytics Programme

The brief

Working alongside a national health-service analytics programme, we delivered the front-end dashboard for a forecasting tool that predicts accident & emergency admission rates. The underlying model was built in collaboration with the health service’s own data teams; our role was to turn its output into something clinicians and operational managers could act on.

Built on Palantir Foundry, the dashboard updates on a live basis and is used by a range of end users across the health service. We developed it to the supplied designs with minimal supervision and inside a tight delivery window, using Python and PySpark for the data layer and TypeScript and React for the interface.