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How a data platform enables system-wide population health management

How a data platform enables system-wide population health management
By Aaron Atkinson, Stephen Gallagher, and Mai Pham
17 May 2023



Mid and South Essex Integrated Care System (ICS) and NHS Arden & GEM CSU describe how they have taken a multidisciplinary team approach to co-design a strategic data and analytics platform. This provides staff across the ICS with the intelligence needed to plan and deliver priorities, using population data to enable more informed decision-making.

When Mid and South Essex Integrated Care System (ICS) was established in July 2022, it wanted to build a better understanding of its residents to tackle health inequalities, improve health and wellbeing, and reduce reliance on hospital care. This meant improving its data and business intelligence capability to enable a system approach to capture, analyse and use data, incorporating the wider determinants of health.

Mid and South Essex ICS covers a population of 1.2 million people, bringing together over 149 GP practices, 27 PCNs and seven district and borough councils, with community and mental health providers, a multi-site hospital trust, ambulance trust and voluntary and community sector associations. Different partners used separate data sources, flows and reporting systems, while data analysis was done in organisational silos.

This gap was outlined in the Mid and South Essex ICS Business Intelligence (BI) Strategy, which highlighted the need for a system-wide approach to capturing, analysing and using data through a collaborative data platform – a virtual BI hub. The ICS needed this to meet its overarching vision of having a ‘single source of truth’ and building a single, holistic view of its residents. However, no single platform existed to enable the ICS to do the integrated analytics required, which meant building a new platform to meet local needs and integrate with national data.

Building the system

In scoping what was potentially a vast project, we focused on the problem we needed to solve and the critical success factors. We needed:

  • A single, scalable platform to enable good analytics
  • Buy-in across the system
  • Useable data in intuitive dashboards
  • Early successes to demonstrate value

We needed the right mix of roles, skills and representation across the system if we were to build something that would be fit for purpose, intuitive and robust. So digital and data leads from system partners were invited to a data summit to share information, discuss projects and priorities across partners, and understand each other’s data and intelligence needs. In total, over 70 people have been involved in the project.

This collaborative working is maintained through a monthly BI and Data Delivery Board, involving operational and digital leads from all providers, to support ongoing development and build an understanding of how the platform can be used.

National and local data

The platform, named Athena, has around 12 billion rows of pseudonymised data from national and local data flows, using cloud technology to bring together multiple data sources from primary, secondary, community, social and mental healthcare. This provides a holistic view of residents and an end-to-end view of patient journeys.

Arden & GEM analysts build content for the platform at scale, enabling the ICS to benefit from national data and reporting dashboards alongside bespoke local analysis. Crucially, the data is managed through the same platform, giving system partners complete confidence that data sources are consistent, regardless of the dashboard they are using.

Information governance arrangements have enabled advances in safe data sharing to support system-wide working. Previously, local authorities would have to apply for access to health data. But as the Integrated Care Board (ICB) is now the owner of the whole system data – including education, crime, and housing – it can sub-license that data, in line with data protection legislation and best practice, to support service planning and delivery. This is particularly important in enabling population health management to provide robust insights which support targeted interventions for specific cohorts of patients.

Intuitive data

From the start, we wanted to make this a system that teams would want and feel able to use. That meant designing dashboards which tell stories with data that people can engage with, interpret and manipulate to inform decision-making which benefits communities. Dashboards already available include:

  • Population Health Management: using health conditions, demographics and wider determinants of health to segment a population into similar groups. This can be used to identify different health, care and wellbeing needs, as well as inequalities, enabling tailored care models.
  • Diabetes, Ageing Well and Cancer: giving greater insight into the services we offer today and how we can better deliver these in the future.
  • Urgent and Emergency Care: enabling a greater understanding of potentially avoidable admissions in an emergency department.
Fig 1: Athena Data Platform, example dashboard. Copyright: 2023 Arden & GEM

We have implemented a supporting communications programme to show teams how to use the dashboards and make the data more accessible, and include commentary within dashboards to guide users. By curating the data and delivering information in manageable, useable ways, we’re starting to build understanding and use of analytics within individual teams. The aim is that business users become more confident in analysing their own data and habitually using insights to inform decision-making without needing to rely on specific support from the BI team.

Delivering better outcomes for residents

The Athena data platform launched less than three months ago and is already being used to support care planning.

To inform system-wide work on avoidable attendances at A&E, we are building a comprehensive picture of influencing factors, including how the patient arrived, why and how they were discharged. By combining acute, mental health, 111, ambulance and social care data, Mid and South Essex ICS has the insight needed to target interventions where they will have most impact.

The platform is also being used to support a strategic stewardship programme, looking at how we might shift resources around the system to optimise the quality of care people receive and track the impact of any changes we make over time.

Next steps

We’ve come a long way in combining multiple data sets, but this will continue to evolve as more data is added to support population health management and service delivery. As we apply more advanced analytics, we can focus on looking forward, making predictions, such as bed capacity during the winter and optimising supply chains or workforce. Drawing on learning from other industries, we are keen to enable specialist software to integrate with the platform to facilitate scenario planning that is flexible and scalable – putting an end to reliance on spreadsheets!  

But these advances bring their own challenges too. ICSs are competing against multiple industries in sourcing new talent to support business and data intelligence. We will need to work smarter – not just at system level but across the country – to minimise duplication and share learning to support better outcomes for our communities. By developing a regional data platform for Mid and South Essex ICS alongside a national platform to deliver NHS England data requirements, the foundations are in place, which we can all benefit from.

Authors: Aaron Atkinson, Associate Director of Business Intelligence at NHS Arden & GEM CSU; Stephen Gallagher, Director of Data and Business Intelligence at Mid and South Essex Integrated Care Board; and Mai Pham, Interim Programme Manager at Mid and South Essex Integrated Care System.

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