Please use this identifier to cite or link to this item: https://dora.health.qld.gov.au/qldresearchjspui/handle/1/5626
Title: Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria
Authors: Abdel-Hafez, Ahmad 
Jones, Melanie
Ebrahimabadi, Maziiar
Ryan, Cathi
Graham, Steve
Slee, Nicola
Whitfield, Bernard
Issue Date: 2023
Source: Frontiers in digital health, 2023 (5) p.1192975
Pages: 1192975
Journal Title: Frontiers in digital health
Abstract: 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%.; Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (© 2023 Abdel-Hafez, Jones, Ebrahimabadi, Ryan, Graham, Slee and Whitfield.)
DOI: 10.3389/fdgth.2023.1192975
Resources: https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,athens&db=mdc&AN=37964894&site=ehost-live
Appears in Sites:Children's Health Queensland Publications

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