HASR twin dashboard maps

Using geospatial technologies for service transformation support

The Humber Acute Service Review (HASR) aims to deliver new models of care and infrastructure investment across a challenged health and care system. We were asked by HASR to provide geospatial and analytical support to help deliver their objective.

HASR is a major change programme currently being delivered across the Humber area, in the two acute hospital trusts - Northern Lincolnshire and Goole NHS Foundation Trust (NLaG) and Hull University Teaching Hospitals NHS Trust (HUTH), for a population of approximately 900,000.  Between them, they provide a variety of hospital-based services from five different acute hospital sites. The main aim of the HASR programme is to deliver better and more accessible health and care services for the population.

A rigorous process was adopted to develop the potential future models of care involving clinical design, engagement, assurances, and collaborations. The wider stakeholder engagement exercise conducted by HASR involved over 8000 people, identifying the priorities that mattered most to them. A variety of activities were used to obtain views from patients, the general public, staff, partners, stakeholders and regulators, that informed the proposed model options to deliver equity of access for the Humber population. 


This particular project refers to the Phase 2 element of the programme focused on the core service change with three major services groups: Urgent & Emergency Care, Maternity / Paediatrics and Neonatal, plus Planned Care. 

This programme works through the potential service change, ultimately leading to the creation of a Pre-Consultation Business Case (PCBC), a document on which a decision to consult on service change is taken.  A successful PCBC will facilitate just under an £800m Strategic Capital Bid. 

For Phase 2 of the HASR programme and the PCBC, they were looking for analytics to support modelling new service pathways that may affect the geographical flow of patient pathways across the region. To do this they wanted to use hospital activity data and analysis of different modes of transport. Consideration was also needed of the net-zero and carbon impact of the potential models of care.


We provided support to HASR and the subsequent Phase 2 programme/PCBC through the following: 

  • Created mapping and visual output to give context to the HASR programme for the PCBC submission.  This included population demographics as well as context mapping.
  • Used geospatial expertise to undertake travel analysis modelling for staff and patients through a range of travel methods. Visualised output and provided summary statistics. 
  • Visualised patient hospital activity from multiple sources for the three major workstreams – Urgent and Emergency Care, Maternity, and Planned Care.
  • Future state – Visualised the travel impact and geographical flow of patient pathways for future site combinations across the workstreams.  The travel impact was split into three groupings: patients with a potential shorter journey of 10 mins or more, those who will have a longer journey of 10 to 30 minutes and finally those patients with a journey in excess of 30 minutes.
  • Future state – for future site combinations, the team applied travel carbon modelling and provided summary statistics for each option.  The summary statistics calculated the total travel time and carbon change as well as looking at the average impact on patients.

In addition, the SCW Geospatial team also built a range of innovative online solutions to be used by programme leads / senior staff to enable engagement and decision making.  This included an online geospatial portal for solutions, along with solutions such as twin dashboards, allowing assessment of multiple factors in parallel. The main image shows a typical HASR online solution.  

One of our main challenges was how to model and work with the huge data volumes from multiple workstreams, and visualise this in simple formats for all to use. No one answer would fit every single box, so we used specialised filtering to deliver the data in a range of combinations, as well as engaging with the HASR programme and users to select the most effective visualisation techniques. Ultimately this allowed decision-makers to test various models and engage with staff on these options.

We worked through datasets of over 1m records to support decision-making and health outcomes for the populations within the Humber area.   The solutions built are designed to be used for the current phase of the HASR programme, however, they are flexible and can be easily extended for future phases. 


Geospatial technology has provided several benefits to the HASR programme, including:

  • Bringing data to life/giving context to the Humber region and population.
  • Giving clarity to complex data – e.g. hospital sites patient flows
  • Providing evidence to support decisions across the HASR programmes.
  • Ability to engage providers and administrators in deep-dive discussions
  • Helped to formulate desired outcomes on choice of hospital model options. 

The collaboration enabled the Humber region to truly put patients first in their plans.

Where are we today?

The HASR programme is still within Phase 2 working towards the PCBC delivery.  Further feedback will be documented as it is obtained. 

The Humber Acute Services Programme aims to deliver new models of care and infrastructure investment across a challenged and complex health and care geography including areas of deprivation, coastal, rural, urban and health inequalities.  In considering both patient access for emergencies and planned visits, and staff transport options, we wanted to make optimal use of the data available to us. SCW’s geospatial analysis brought our complex data to life with clarity, providing engaging evidence to support our decisions and helped us to formulate our desired outcomes Shauna McMahon, CIO, Northern Lincolnshire & Goole NHS FT 

Our health and care systems operate across some of the most deprived areas in the country and are influenced by a number of factors including rurality, seaside towns and access. It was essential that we worked with a skilled geospatial analytics team to identify the potential impact of our models of care on our communities with a focus on patient access, travel times and also potential activity displacement. The work that SCW has undertaken on the dynamic modelling enables our clinical teams and key stakeholders to dynamically analyse impact and support decision making in a complex environment Ivan McConnell, Director Humber Acute Services Programme

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