Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models

Our study highlighted disparities in referrals rates, patterns, and wait times. Continuing education and support for primary care is paramount. Resource allocation should be tailored to meet the population needs, with further research needed to ensure timely and appropriate referrals.

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Publication Details

Journal
PLoS ONE
Published
2026-02-05
DOI
https://doi.org/10.1371/journal.pone.0338085
Primary Topic
Healthcare Systems and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models

J. Huang, H. Bauchner, Sky Wei Chee Koh, Si Hui Low et al.
PLoS ONE
Healthcare Systems and Technology
article

Factors and determinants of primary care to tertiary care referrals in Singapore: A multi-centre analysis using artificial intelligence-powered large language models

J. Huang, H. Bauchner, Sky Wei Chee Koh, Si Hui Low, Joelle Lam, Xin Er Frances Jin, Jun Cong Goh, Yii Jen Lew, Ge Ji
article en

Abstract

Our study highlighted disparities in referrals rates, patterns, and wait times. Continuing education and support for primary care is paramount. Resource allocation should be tailored to meet the population needs, with further research needed to ensure timely and appropriate referrals.

PLoS ONEVol. 21(2)
Boston University (US), National University of Singapore (SG), Nanyang Technological University (SG), National University Health System (SG), Monash University (AU)
Quality Education
Openalex Percentile: Top 67%
Healthcare Systems and Technology
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