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

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@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},
      doi = {https://doi.org/10.64388/IREV9I5-1712195}
  }