Evidence map›Paper›PMID 36268141›Full record

Trial reportComputational intelligence and neuroscience2022

Role of Intelligent Management Systems in Surgical Punctuality and Quality of Care.

Gendi Li, Shenhui Huang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Gendi LiOperating Room of Huashan Hospital, Affiliated to Shanghai Fudan University Surgery, 200040 Shanghai, China.
Shenhui HuangOperating Room of Huashan Hospital, Affiliated to Shanghai Fudan University Surgery, 200040 Shanghai, China.ORCID https://orcid.org/0000-0003-0768-476X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The main objective is to illustrate the role of intelligent management systems in surgical punctuality and quality of care. Methods: 72 registered nurses were selected from our operating room, and 180 patients who needed surgery were randomly divided into the control group and the observation group for satisfaction survey and satisfaction analysis. Results: The correct rate of surgical clothing distribution and the qualified rate of clothing recovery were improved, and the punctuality rate of the operation was enhanced than before the implementation of the intelligent management system. The accurate positioning of surgical items and the accurate statistics of equipment use time were enhanced than before implementation. The error rate of surgical item preparation after implementation was lessened than before implementation. Both nursing satisfaction and patient satisfaction after implementation were increased than before implementation. Conclusion: The intelligent management system improves the punctuality of surgery and the quality of care in the operating room.

Indexed as

Patient SatisfactionHumansSurveys and Questionnaires

Identifiers

PMID36268141
PMCPMC9578833

What OpenQuestion holds

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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.