Researchers at the University of Hertfordshire have developed an AI forecasting tool aimed at helping healthcare providers use their resources more effectively. Unlike many AI projects focused on diagnosing individual patients, this one targets system-wide planning. It uses historical data to predict future healthcare demand, giving leaders better tools to plan staffing, beds, and other resources.

Transforming Healthcare Operations with AI

The project teams up with regional NHS health organizations to analyze five years of data, including hospital admissions, treatments, re-admissions, and bed usage. They also factor in workforce availability and local demographics like age, gender, ethnicity, and socioeconomic status. This broad approach helps create a detailed picture of future needs, rather than just reacting to current issues.

Professor Iosif Mporas, who leads the project, explains that the goal is to forecast what might happen if no action is taken and to understand how demographic changes could strain NHS resources. The system is designed to assist managers in making proactive decisions, rather than just responding to problems as they come up. This shift could lead to more efficient use of staff, beds, and other vital resources across the healthcare system.

Forecasting Healthcare Demand for Better Planning

The AI model produces short-, medium-, and long-term forecasts of healthcare demand. This allows NHS leaders to plan ahead and prepare for future challenges. For example, the system can predict increases in chronic condition cases or hospital admissions, helping managers allocate resources more effectively and avoid shortages or bottlenecks.

Charlotte Mullins, a strategic manager at NHS Herts and West Essex, highlights that such demand modeling can lead to better patient outcomes. By understanding future needs, NHS leaders can make more proactive decisions, which aligns with long-term strategies like the 10-year plan for regional health services. The aim is to improve care and efficiency across the board.

Looking Ahead: Expanding the AI Tool’s Reach

The project is funded by the University of Hertfordshire’s Integrated Care System partnership and is currently testing the AI model in hospital settings. Plans are underway to extend the tool to community services and care homes, matching regional structural changes. This expansion will include data from a larger population, further improving the accuracy of forecasts.

The local NHS region serves about 1.6 million residents and is preparing to merge with neighboring health boards to form a bigger care system. Incorporating data from this wider area will help refine the model’s predictions and support more comprehensive planning. The team aims to continue developing the tool through 2026, making it an essential part of healthcare resource management in the region.

Inspired by

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Sources

• ac.uk