UoH SDM | EPIIC

Summary

NHSE requires ICSs to build ICS intelligence functions using advanced analytics to enable informed and effective decision-making. HWEICS is keen to continue developing their use of population health analytics by using data to inform their approach for proactive care delivery, condition management, utilising predictive risk factors that help to increase early detection, prevent ill health, identify at-risk populations, and inform strategic commissioning and planning, including workforce and financial planning.
Pressures on health and care services are increasing. Demand continues to grow and understanding this and being able to quantify what needs to develop and transform now and in the future are essential to protect health and care services for those who are most vulnerable.
SPECS will use advanced statistical modelling and analytical techniques to model and predict the needs and demands of the 1.6 million HWEICS population and its segments in the short, medium and longer term, focussing on current and future need, demand as well as capacity of health services to enable effective decision-making. Scenario modelling techniques will be developed to understand how future demand can be mitigated for our the HWEICS population and its different segments through a range of best practice or emerging interventions. The project will help understand what the system response needs to be for these future scenarios including future workforce and system capacity.
An analytical skills audit across HWE took place in 2021 and identified development needs concerning predictive analytics and data science. SPECS will design and deliver an in-house training programme.

Intended Outcomes

Using scenario modelling and machine learning algorithms, AI predictive models, i.e. advanced statistical and analytical techniques, consider patient population groups and their time dynamics, especially the predicted population growth of those over 85. The AI tools model patient behaviour, grouping them and forecasting patients’ admission risk or emergency attendance.
Advanced statistical and analytical tools meet the NHSE requirement for a system intelligence function and are integrated into a framework environment to facilitate effective, improved decision-making
Using advanced statistical and analytical techniques, move from descriptive to evaluative analytics.