An AI model developed by the University of Hertfordshire aims to improve resource efficiency within the National Health Service (NHS). The project analyzes historical data related to healthcare demand to assist managers in decisions regarding staffing, patient care, and resource allocation.

Model Details

The model uses five years of historical data, integrating metrics such as admissions, treatments, readmissions, bed capacity, and infrastructure pressures. It also considers workforce availability and local demographic factors such as age, gender, ethnicity, and socio-economic conditions. The goal is to provide accurate forecasts of healthcare demand evolution.

Implementation and Roadmap

Currently being tested in a hospital setting, the model is intended to be extended to community services and care homes. The initiative is funded by the Integrated Care System and aims to support a more efficient allocation of resources, enabling NHS leaders to make proactive decisions based on short-, medium-, and long-term forecasts.

Integration and Future

The model takes into account ongoing structural changes in the healthcare system, such as the merger of several Integrated Care Boards. Integrating data from a larger population should further improve the accuracy of the forecasts. This approach demonstrates how existing data can be used to improve efficiency and support strategic planning.