Reducing NHS Waiting Times Through Technological Innovation: A Proposal for an AI-Driven Patient Flow Optimization System (AIPFOS)
Abstract
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.
Keywords
NHS waiting times, AI triage, patient flow optimization, Node.js/Express, ReactJS, digital health, FHIR interoperability, ethical AI in healthcare
Citations
IRE Journals:
Oluwafemi Abiodun "Reducing NHS Waiting Times Through Technological Innovation: A Proposal for an AI-Driven Patient Flow Optimization System (AIPFOS)" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1837-1843 https://doi.org/10.64388/IREV9I5-1712195
IEEE:
Oluwafemi Abiodun
"Reducing NHS Waiting Times Through Technological Innovation: A Proposal for an AI-Driven Patient Flow Optimization System (AIPFOS)" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712195
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