MVP dashboard GUI concept to replace a complex and cumbersome spreadsheet based system to monitor and predict blood demand and supply levels around the UK for the NHS. (currently only used by a handful of trained operators in the country)

The primary goal was to provide a quickly scannable graph view with a straight forward top-level filtering system, and an overview for incidents of ‘misses’ and the ability to override contingency levels.

MVP dashboard GUI concept to replace a complex and cumbersome spreadsheet based system to monitor and predict blood demand and supply levels around the UK for the NHS. (currently only used by a handful of trained operators in the country)

The primary goal was to provide a quickly scannable graph view with a straight forward top-level filtering system, and an overview for incidents of ‘misses’ and the ability to override contingency levels.

I set the filter interaction to hover so that it reduced unnecessary clicks when the operator is looking to make very quick and potentially critical decisions based on their graph view. This would live update on the graph as different filter options were selected, to further expedite the operators process.

I set the filter interaction to hover so that it reduced unnecessary clicks when the operator is looking to make very quick and potentially critical decisions based on their graph view. This would update live in the background as different filter options were selected, to further expedite the operators process.

To assist the a.i machine learning capabilities the graph could be viewed with comparative date range overlays so that it became easier to predict seasonal / periodical trends in supply and demand levels.

To assist the a.i machine learning capabilities the graph could be viewed with comparative date range overlays so that it became easier to predict seasonal / periodical trends in supply and demand levels.

Demand contingency needed a manual override capability to account for last minute or unforeseen fluctuations in demand, such as natural disasters, epidemics or large public events, riots, etc…

Demand contingency needed a manual override capability to account for last minute or out of the blue fluctuations in demand, such as natural disasters, epidemics or large public events, riots, etc…

The Missed panel highlights instances where the predicted demand or supply level was outstripped by the actual levels and a shortfall in availability occurred. These are also accessible in the reports section.

The Missed panel highlights instances where the predicted demand or supply level was outstripped by the actual levels and a shortfall in availability occurred. These are also accessible in the reports section.