Backlog supports Covid-19 recovery planning by providing a range of demand and capacity scenarios for key assets (diagnostics, theatres, beds, etc.) to reflect different recovery options amid the uncertainty of future Covid-19 outbreaks

The Covid-19 crisis caused a drop in demand for planned and unplanned activity in hospitals. Some of this demand is like to return over the coming weeks and months at the same time as normal demand returns.
Backlog uses detailed hospital data to analyse historical patterns of demand and the impact of Covid-19 to estimate the scale of demand that may return. This is done across a range of scenarios, which are periodically updated to reflect developing evidence on Covid-19, for key hospital-based resources (diagnostics, theatres, beds, etc.). The option exists to connect these across a broader health system and to include external capacity.

Example problem solved:
• Estimate the diagnostic, theatre, and bed capacity requirements for delivering backlog activity
• Explore the potential impact of local Covid-19 outbreaks on recovery plans
• Identify potential bottlenecks (e.g. diagnostic capacity) in the delivery of recovery plans.

• Produces clear charts and tables summarising capacity and demand for key assets (diagnostics, theatres, beds, etc.)
• Data merging and integration
• Machine learning, statistics, and analysis
• Data visualisation and dashboard summary
• Backlog can be commissioned for multiple providers in a system

• Bed demand numbers provided as outputs, but can be extended to diagnostics, theatres, and other elements of hospital capacity
• Ability to create a single view of backlog demand and capacity requirements at a Trust or across several Trusts

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