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Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria

journal contribution
submitted on 2023-12-11, 10:37 and posted on 2023-12-14, 06:39 authored by Ahmad Abdel-Hafez, Melanie Jones, Maziiar Ebrahimabadi, Cathi Ryan, Steve Graham, Nicola Slee, Bernard Whitfield

The clinical prioritisation criteria (CPC) are a clinical decision support tool that ensures patients referred for public specialist outpatient services to Queensland Health are assessed according to their clinical urgency. Medical referrals are manually triaged and prioritised into three categories by the associated health service before appointments are booked. We have developed a method using artificial intelligence to automate the process of categorizing medical referrals based on clinical prioritization criteria (CPC) guidelines. Using machine learning techniques, we have created a tool that can assist clinicians in sorting through the substantial number of referrals they receive each year, leading to more efficient use of clinical specialists' time and improved access to healthcare for patients. Our research included analyzing 17,378 ENT referrals from two hospitals in Queensland between 2019 and 2022. Our results show a level of agreement between referral categories and generated predictions of 53.8%.

Other Information

Published in: Frontiers in Digital Health
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.3389/fdgth.2023.1192975

History

Language

  • English

Publisher

Frontiers

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • University of Doha for Science and Technology
  • College of Computing and Information Technology - UDST