Evidence map›Paper›PMID 40690599›Full record

ArticleJournal of medical Internet research2025

Construction and Evaluation of the Bidirectional Referral System in Internet Hospital: Case Study of Children's Hospital in Western China.

Qinling Li, Yunzhen Deng, Xiangdong Yin, Yingliang Li, Lan Hu, Bin Yang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qinling LiDepartment of Medical Affairs, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.ORCID http://orcid.org/0009-0008-5322-8988
Yunzhen DengDepartment of Medical Affairs, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.ORCID http://orcid.org/0009-0006-8890-235X
Xiangdong YinDepartment of Information, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, China.ORCID http://orcid.org/0009-0003-3157-4496
Yingliang LiDepartment of Medical Affairs, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.ORCID http://orcid.org/0009-0002-5782-7204
Lan HuDepartment of Medical Affairs, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Intelligent Application of Big Data in Pediatrics Engineering Research Center of Chongqing Education Commission of China, Chongqing, China.ORCID http://orcid.org/0000-0002-3979-0682
Bin YangDepartment of Pharmacy, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, 136 Zhongshan 2nd Road, Yuzhong District, Chongqing, 400014, China, 86 13618373005.ORCID http://orcid.org/0009-0008-3456-9859

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The World Health Organization (WHO) emphasizes internet IT as pivotal for optimizing health care system efficiency. Traditional bidirectional referral (TBR) systems, hindered by manual processes and information asymmetry, face challenges in pediatric care. While internet bidirectional referral (IBR) systems demonstrate effectiveness compared to TBR methods, comparative performance analyses remain remarkably scarce. Objective: This study aims to develop a systematic and standardized bidirectional referral framework for internet hospitals and analyze the differences in core referral indicators of referral time and postreferral medical expenses between TBR (2019-2021) and IBR (2022-2024) at the Children's Hospital of Chongqing Medical University. Methods: This study is a retrospective cohort study that includes patients aged 0-18 years with chronic diseases and complex cases in both TBR and IBR periods, while excluding emergency cases. We compared the differences between TBR and IBR across multiple dimensions, including demographic characteristics, downward-to-upward transfer ratio, core indicators (referral times and postreferral medical expenses) and referred diseases, and medical departments. Results: This study included a total of 457 referral cases, with 106 in the TBR group (79 upward and 27 downward, resulting in a downward-to-upward referral ratio of 34.18%) and 351 in the IBR group (329 upward and 22 downward, resulting in a downward-to-upward referral ratio of 6.69%). Compared with the TBR group, the median referral time in the IBR group was significantly shorter (0.90 d vs 2.51 d; P<.001), and the median postreferral medical expenses were lower (¥13,091.16 [US $1822.34] vs ¥8380.59 [US $1166.61]; P=.01). We observed that in both groups, the respiratory department consistently ranked as the top specialty for upward referrals, with pneumonia emerging as the most prevalent diagnosis for such transfers. Conclusions: In pediatric care, the IBR system improved referral efficiency and reduced postreferral medical expenses compared with TBR methods, but there is still a low downward referral rate. While the IBR system shows promise and merits widespread adoption, further validation across diverse medical institutions and broader populations is necessary.

Indexed as

Hospitals, PediatricInternetReferral and ConsultationAdolescentChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleRetrospective Studieschildreninternet bidirectional referralinternet hospitalreferral efficiencytraditional bidirectional referrals

Identifiers

PMID40690599
PMCPMC12303232

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.