Evidence map›Paper›PMID 42583952›Full record

ArticleJournal of nursing management2026

Integrating Patient-Centered Perioperative Care Continuum Digital Closed-Loop Management With Overall Every Control to Improve Perioperative Efficiency: A Mixed-Methods Study.

Yan Shu Wei, Xiao Li Liu, Jin Pei, Xue Jing Li, Xin Zhao, Jing Wang, Xin Xia, Wen Ping Wu, Yue Ren, Miao He and 4 more

Abstract read
In one paragraph

Article in Journal of nursing management, 2026. 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

14 authors.

Yan Shu WeiOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.ORCID https://orcid.org/0000-0002-3695-6835
Xiao Li LiuDay Surgery Center, Peking University People's Hospital, Beijing, China, pku.edu.cn.ORCID https://orcid.org/0000-0003-0482-3891
Jin PeiOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Xue Jing LiOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Xin ZhaoOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Jing WangOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.ORCID https://orcid.org/0000-0002-2823-2730
Xin XiaOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Wen Ping WuOperating Room, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Yue RenDay Surgery Center, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Miao HeDepartment of Anesthesiology, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Yi FengDepartment of Anesthesiology, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Hai Yan ZhangNursing Department, Peking University People's Hospital, Beijing, China, pku.edu.cn.
Jie ChenCollege of Nursing, Florida State University, Tallahassee 32306, Florida, USA, fsu.edu.ORCID https://orcid.org/0000-0002-1568-8974
Xiu Yuan ChenDepartment of Thoracic Surgery, Peking University People's Hospital, Beijing, China, pku.edu.cn.ORCID https://orcid.org/0000-0002-2489-5983

Funding

Peking University BMU2025YXXLHAIYX002Peking University People's Hospital RDM2023-06Peking University People's Hospital RDM2024-02Peking University People's Hospital RDX2024-07S&T Program of Xiongan New Area XA202501102003K
6 · The paper itself

Abstract

backgroundPerioperative care is inherently complex, requiring seamless coordination among multidisciplinary teams. Traditional, fragmented workflows often lead to delays, inefficiencies, and increased risk, compromising both patient safety and operational performance.

objectivesThis study aimed to evaluate the impact of a patient-centered, digitally enabled closed-loop perioperative management system, implemented within the overall every control (OEC) framework, on operating room efficiency.

methodsWe developed and implemented a patient-centered perioperative care continuum digital closed-loop system that integrated real-time data from the surgical anesthesia system to orchestrate a standardized workflow across the preoperative, intraoperative, and postoperative continuum. The study employed a mixed-methods design. Quantitative data on the on-time start rate of the first surgery, turnover time, and operating room utilization were collected from the preintervention baseline period (2022, n = 18,076 cases) through the postintervention period (2023-2024, n = 54,684 cases). Qualitative data from semistructured interviews with surgeons, nurses, and patients provided insights into the user experience.

resultsQuantitative data revealed a significant and sustained improvement, with the on-time start rate increasing from 74.6% to 89.5% (p < 0.001), and operating room utilization also rose significantly (p < 0.001), despite a 51% rise in surgical volume and a higher-acuity patient caseload. Importantly, no system-related adverse events were detected throughout the study period. Qualitatively, healthcare providers reported better teamwork, reduced cognitive load, and greater professional fulfillment, while patients experienced substantially shorter waiting times and less preoperative anxiety. The mixed-methods approach suggested that these efficiency improvements were not only procedural but also associated with a fundamental enhancement of the work environment and care experience.

conclusionsThe OEC-guided closed-loop management system was associated with enhanced perioperative efficiency and sustained patient safety under conditions of increased demand. This model demonstrates that integrating real-time digital feedback with a standardized management framework may create a virtuous cycle of continuous improvement, yielding favorable outcomes for both healthcare providers and patients. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing leadership is pivotal in implementing digital closed-loop perioperative systems, which may enhance efficiency and patient safety by streamlining workflows, reducing cognitive load, and improving staff well-being, thereby demonstrating the potential of digitally augmented, nurse-led management models.

Indexed as

Continuity of Patient CarePerioperative CareDigital HealthEfficiency, OrganizationalHumansOperating RoomsPatient-Centered CareQualitative ResearchWorkflowclosed-loop managementdigital platformoperating room efficiencyoverall every controlpatient-centeredpatient safetyperioperative caresurgical patients

Identifiers

PMID42583952
PMCPMC13463731

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.