Evidence map›Paper›PMID 40357427›Full record

ArticleDigital health

Digital innovation in ophthalmic admissions: Impact on hospital quality in China.

YaoYao Lin, Hui Lin, Ning Tang, Man Hu, Qi Dai, XinWei Shi

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

6 authors.

YaoYao LinEye Hospital of Wenzhou Medical University at Hangzhou, Hangzhou, Zhejiang Province, China.ORCID https://orcid.org/0000-0003-2291-2353
Hui LinEye Hospital of Wenzhou Medical University at Hangzhou, Hangzhou, Zhejiang Province, China.
Ning TangEye Hospital of Wenzhou Medical University at Hangzhou, Hangzhou, Zhejiang Province, China.
Man HuEye Hospital of Wenzhou Medical University at Hangzhou, Hangzhou, Zhejiang Province, China.
Qi DaiEye Hospital of Wenzhou Medical University at Hangzhou, Hangzhou, Zhejiang Province, China.ORCID https://orcid.org/0000-0002-9950-6161
XinWei ShiEye Hospital of Wenzhou Medical University at Hangzhou, Hangzhou, Zhejiang Province, China.ORCID https://orcid.org/0000-0002-0301-0517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to construct and evaluate a digital admission management platform for ophthalmology in China, assessing its impact on nurse reception time, patient satisfaction, human cost and healthcare staff experience, with the goal of enhancing the efficiency and quality of ophthalmic medical services. Methods: A multidisciplinary team conducted a digital transformation, involving needs assessment, process analysis, and design of a digital admission preparation center system tailored for ophthalmic hospitals. We collected data on nursing times for processing admissions and receiving new patients, patient satisfaction ratings, and healthcare staff feedback before and after the implementation of the digital system to evaluate its impact on operational efficiency. Results: The implementation of the digital system led to a significant reduction in nursing times for processing admissions (from 733.05 ± 188.34 seconds to 547.18 ± 86.97 seconds) and receiving new patients (from 272.38 ± 73.66 seconds to 215.58 ± 20.95 seconds), with statistically significant differences ( Conclusion: The construction and application of a digital ophthalmic admission management platform significantly improved admission management efficiency, increased patient satisfaction, and optimized the working environment for healthcare staff. Digital transformation is a key strategy for enhancing the efficiency of ophthalmic medical services, reducing costs, and improving patient experience.

Indexed as

digital healthefficiency optimizationhealthcare qualityhuman costOphthalmic admission systemspatient experience

Identifiers

PMID40357427
PMCPMC12066849

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.