Reducing NHS Waiting Times Through Technological Innovation: A Proposal for an AI-Driven Patient Flow Optimization System (AIPFOS)

• Author(s): Oluwafemi Abiodun
• Paper ID: 1712195
• Page: 1837-1843
• Published Date: 25-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025
• DOI: https://doi.org/10.64388/IREV9I5-1712195

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, vol. 9, no. 5, Nov. 2025, doi: https://doi.org/10.64388/IREV9I5-1712195

APA:
Oluwafemi Abiodun (2025). 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). doi: https://doi.org/10.64388/IREV9I5-1712195

MLA:
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, vol. 9, no. 5, Nov. 2025. Crossref, https://doi.org/10.64388/IREV9I5-1712195

BibTeX

@article{1712195,
author = {Oluwafemi Abiodun},
title = {Reducing NHS Waiting Times Through Technological Innovation: A Proposal for an AI-Driven Patient Flow Optimization System (AIPFOS)},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {5},
pages = {1837-1843},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712195.pdf},
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},
month = {November}
}