Reducing NHS Waiting Times Through Technological Innovation: A Proposal for an AI-Driven Patient Flow Optimization System (AIPFOS)
The present study aims to develop a new AI system to solve the problem of such excessive waiting times in the National Health Service (NHS) through the development of the AI-Driven Patient Flow Optimization System (AIPFOS). It includes AI triage, staffing forecast, intelligent queuing, teleconsultation, bed tracking, and healthcare data stored on a blockchain. The study also discusses the shortcomings of the existing systems like EMIS and the NHS App which is followed by the proposed four-step plan for the implementation of the proposed system. Advantages, issues and prospects, as well as a brief financial plan is described to show a practical and evolutionary vision for improving the quality of patients’ treatment and increasing the eflectiveness of logistic processes.
Publication Details
- Journal
- Iconic Research and Engineering Journals
- Published
- 2025-11-25
- DOI
- https://doi.org/10.64388/irev9i5-1712195
- Primary Topic
- Healthcare Operations and Scheduling Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00