Work

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

Year: 2025

Type: article

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.

Source: Iconic Research and Engineering Journals

DOI: 10.64388/irev9i5-1712195

Author: Oluwafemi Abiodun

Institution: National Health Service

Language: English

Topic: Healthcare Operations and Scheduling Optimization

Subfield: Emergency Medical Services

Field: Health Professions

Domain: Health Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4416868099