Evidence map›Paper›PMID 41929896›Full record

ArticleFrontiers in public health2026

Evaluation of an intelligent inpatient transportation system in a large tertiary hospital: a full implementation case review.

Chao Jiang, Huifen Zhu, Lin Deng, Yu Shu, Xixi Zhou, Lei Tong, Yaoying Zhou, Yanfei Ye, Min Cao

Abstract read
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Article in Frontiers in public health, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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

9 authors.

Chao Jiang *Wound Repair Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Huifen Zhu *Nursing Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Lin DengWenzhou Medical University, Wenzhou, China.
Yu ShuWound Repair Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Xixi ZhouWound Repair Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Lei TongNursing Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Yaoying ZhouWound Repair Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Yanfei YeNursing Department, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Min CaoThe Party and Government Comprehensive Office, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Reliable inpatient transportation is a critical component of hospital operations and clinical workflow. As demand increases, traditional manual transport systems often struggle to meet service expectations. In response, our institution implemented an information technology-based inpatient transportation platform aimed at improving dispatch coordination and workflow integration. Methods: We conducted a retrospective, descriptive analysis of a hospital-wide implementation of an intelligent inpatient transportation platform integrated with the electronic medical record and mobile devices at Quzhou Hospital, China. The system was launched in June 2022. All completed inpatient transportation requests between August 31 and September 30, 2024 were included. Operational characteristics, transport time metrics, safety indicators, and user satisfaction were summarized without a comparator group. Results: A total of 15,543 completed transportation requests were analyzed. Mean transport times varied across departments, with the shortest average times in the ophthalmology and gynecology (34.78 and 34.94 min, respectively). The shortest intervals between scheduled and actual delivery times were observed in hand and foot surgery and in trauma orthopedics/emergency care (-44.86 and -34.91 min, respectively). No misidentification events were reported during the study period. Overall user satisfaction with the transportation service was 90%, with particularly high ratings for perceived service quality and timeliness. Conclusion: This retrospective implementation case study describes the operational performance, safety profile, and user-reported satisfaction associated with an intelligent inpatient transportation platform in a large tertiary hospital. While these descriptive findings suggest acceptable system functionality and feasibility, further prospective and comparative studies are needed to assess associations with clinical outcomes, efficiency benchmarks, and patient-centered measures.

Indexed as

InpatientsTertiary Care CentersTransportation of PatientsChinaElectronic Health RecordsHumansIntelligent SystemsRetrospective StudiesWorkflowartificial intelligencehealthcare efficiencyhospital logisticsinpatient transportationpatient mobilityworkflow optimization

Identifiers

PMID41929896
PMCPMC13039065

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