Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria.
artificial intelligence
clinical decision support system
electronic health records
machine learning
medical referral
natural language processing
text mining
Journal
Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889
Informations de publication
Date de publication:
2023
2023
Historique:
received:
24
03
2023
accepted:
03
10
2023
medline:
15
11
2023
pubmed:
15
11
2023
entrez:
15
11
2023
Statut:
epublish
Résumé
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%.
Identifiants
pubmed: 37964894
doi: 10.3389/fdgth.2023.1192975
pmc: PMC10642163
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1192975Informations de copyright
© 2023 Abdel-Hafez, Jones, Ebrahimabadi, Ryan, Graham, Slee and Whitfield.
Déclaration de conflit d'intérêts
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.
Références
Aust Health Rev. 2021 Jun 24;:
pubmed: 34162464
Frontline Gastroenterol. 2019 Jul;10(3):229-235
pubmed: 31281623
IEEE Trans Neural Netw. 1990;1(2):179-91
pubmed: 18282835
Appl Clin Inform. 2018 Jan;9(1):232-237
pubmed: 29590681
Int J Environ Res Public Health. 2022 Jun 16;19(12):
pubmed: 35742633