• Being run by NHS Bristol, North Somerset and South Gloucestershire (BNSSG) Clinical Commissioning Group (CCG)
  • Aiming to promote and embed the use of PathSimR, an open source tool designed to model patient flow and capacity.
  • Will support a small number of case studies that will showcase the functionality of PathSimR.
  • Support will be offered to new users of the tool, including one-to-one advice, videos and virtual workshops.

An Advancing Applied Analytics project by NHS BNSSG has explored how system-level data analytics can meet complex challenges, such as maintaining fluidity in patient flow and reducing delayed transfers of care. The project involved building an analytical tool that is sufficiently flexible to accommodate a number of interconnected services along a given patient pathway.

The resulting tool, PathSimR, is an open source R-based tool designed to model patient flow and capacity along clinical pathways.

This Evidence into Practice project will involve further promoting the tool and embedding its use in NHS organisations. This will be done through supporting around three case studies for which questions relating to patient flow and capacity are actively being considered. The case studies will be around promoting more integrated, joined-up care, and will showcase the full range of functionality of PathSimR.

Through these case studies, meaningful insights into the problems will be uncovered. This will provide others with a blueprint for how such undertakings can be approached using PathSimR and further demonstrate the validity of the tool.

Through this project, further support will also be offered to health care analysts in using the tool, including one-to-one email and telephone support. A website will be created that will have pre-recorded videos of how PathSimR can be used, and virtual workshops will be developed to introduce the tool to new users.

Early adoption of PathSimR is important in ensuring its success and growing user base. This project will support new users so that its utility can be quickly demonstrated and recognised, and a case made for its use in addressing important problems across the wider NHS.

In light of the situation with COVID-19, it is likely that one or more of the case studies considered will concern pathways relating to COVID-19 admissions, and efficient configurations for working through the elective backlog post-COVID-19.

Contact details

For more information, please contact Dr Richard Max Wood, Head of Modelling and Analytics, NHS Bristol, North Somerset and South Gloucestershire CCG.

About this programme


Evidence into Practice


A programme to help research teams bridge the gap from academic research findings, to actionable...

Further reading

Improvement project

Developing a versatile tool for modelling pathway capacity in NHS organisations

Improvement project

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