This will be achieved in 3 ways:
- getting better value from data – providing analytical services for the NHS and researchers, reducing the costs of procuring these services from somewhere else
- doing more with data – increasing the types of analysis of data to develop additional insights
- increasing access to data – using the power of technology to give insights to users and stakeholders in a way that they can understand, without relying on advanced technical or analytical skills
Analytics is critical to improving health and care and there is a shortage of skilled analysts in the sector. Most large NHS organisations have a dedicated informatics unit and most have additional contracts with external analytics providers. Much of their time is spent producing baseline analytics and most are only scratching the surface of how they might use data to improve care for patients. For example, find out how Cambridge University Hospital Foundation Trust is using data to improve patient care.
Many smaller organisations would like to use more data, but do not have enough analytical capability or systems in place to keep patient level data secure. Our IUoD team are tackling these issues.
We undertake baseline analytics, such as:
- dashboard preparation
- data linkage
These can be used by many organisations, freeing them to focus on more bespoke work on improving care or efficiency.
Cutting edge analytics
In collaboration with our partners, we will demonstrate cutting edge analytics to tackle complex clinical and administrative challenges in health and care.
Increased access to data
We will increase access to data by providing technology to deliver intelligence to stakeholders who do not have analytical skills and systems. This might include graphical interfaces to data and the ability to create natural language queries.
When we look at the data cycle, these areas of work will provide a significant increase in analytical capability, new functionality at the interpretation stage and quicker, more accessible, and more efficient ways of feeding data back into the system. This will help drive change to health and care.
Health and care organisations, clinicians and patients will use our new tools to help them make decisions about the health and care of groups and individuals. We will make sure that data is accurate and interpreted correctly, to avoid the risk of suboptimal care or harm to patients. To do this, we will develop systems to make sure patient safety and information governance issues are addressed throughout the planning, development, deployment and maintenance of our new tools and analysis.
We will also make sure there is early and ongoing clinical input, so that interventions are clinically effective and relevant, making front line teams more likely to use them.
Professor Trish Greenhalgh at Oxford University, in collaboration with NHS Digital, has created a self-assessment version of her framework for Nonadoption, Abandonment and Challenges to the Scale-Up, Spread and Sustainability of Health and Care Technologies. We will use this framework to assess interventions, determine how likely they are to be adopted, and simplify them where possible, to improve uptake.
We aim to look at the following themes:
- demand management – making use of linked data to evaluate the level of demand on STPs and Vanguards
- predictive models – using novel analytics, including analysis of NHS111 data, to help providers understand the likelihood of rehospitalisation, and to improve cost benchmarking
- data driven subscriptions – analysing care pathways, and using technological advances to provide data to stakeholders
- global analysis – developing tools that make international comparisons, enabling us to learn from worldwide best practice
- machine learning techniques – exploring their potential applications
- mortality dashboards – improving the accessibility of data
- Trust picker/peer finder tool, which we are developing with NHS Improvement
- Pareto analysis – a new pareto analysis dashboard for winter preparedness has been built and quality assured
- risk stratification – addressing the legal, technical and data barriers of sharing data, to enable sharing of identifiable risk stratified patient information with GPs, and so improving patient care
Collaboration with central bodies
The Virtual Data Science Centre, hosted by our organisation, is a collaboration between the Department of Health and Social Care (DHSC), Care Quality Commission (CQC), NHS England, Public Health England and others. Members meet once a month to share learning and progress and plan collaborations.