Evidence map›Paper›PMID 42181101›Full record

ArticleRisk management and healthcare policy2026

Financial Management Innovation in Hospital Groups: An Empirical Study of Ophthalmology Specialty Care Under Consolidation.

Bihui Ye, Xiaoqiong Pan, Zhengxing Wu

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bihui YeExpanding Cooperation Department, Eye Hospital, Wenzhou Medical University, Wenzhou City, Zhengjiang Province, People's Republic of China.
Xiaoqiong PanAdministration Department, Community Health Service Center of Nanbaixiang Street of Ouhai District, Wenzhou City, Zhengjiang Province, People's Republic of China.
Zhengxing WuDepartment of Infectious Diseases, Wenzhou Medical University Affiliated Wenzhou Central Hospital, Wenzhou City, Zhengjiang Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study examines financial management innovation in a provincial public ophthalmology hospital group in China, focusing on associations among consolidation, shared services, digital transformation, financial performance, and operational efficiency. Methods: We used a mixed-methods single-case design. The quantitative analysis used a campus-month panel from January 2020 to December 2024 (2 campuses x 60 months; N=120 campus-month observations), with descriptive statistics, correlation analysis, and campus fixed-effects pre-post association models with clustered standard errors. Semi-structured interviews with 28 managers and key staff were audio-recorded, transcribed, and thematically coded. Results: Consolidation and digital transformation were associated with higher operating margins and improved process performance, but estimates should be interpreted as observational associations. In adjusted models, the post-consolidation period was associated with 2.8-3.4 percentage points higher operating margins. Centralized procurement was associated with 18% lower average supply cost in participating categories, and RPA-supported claims processing was associated with a 35% shorter processing cycle and 94% accuracy. The absence of a financial shared service center remained associated with inefficiencies, including an average accounts payable cycle of 45 days. Conclusion: In this single-case observational study, hospital group consolidation was associated with higher operating margins, especially when paired with selective digital transformation. The findings are hypothesis-generating and suggest that integration benefits may depend on shared service implementation and interoperable digital platforms.

Indexed as

financial performancehospital consolidationhospital shared servicesophthalmology hospitalsrobotic process automation

Identifiers

PMID42181101
PMCPMC13197673

What OpenQuestion holds

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Registered trials

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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.