Evidence map›Paper›PMID 39655294›Full record

ArticleJournal of multidisciplinary healthcare2024

An Analysis of the Efficacy of the Health Butler Application and Intelligent Accompaniment Systems in Smart Outpatient Services Based on Patient Feedback.

Bing Xiao, Li-Ping Zhang, Cheng Feng, Ling-Xiang Meng, Wan-Qi Yu, Min Zou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. 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.

Bing XiaoOutpatient Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, People's Republic of China.
Li-Ping ZhangOutpatient Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, People's Republic of China.
Cheng FengOutpatient Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, People's Republic of China.
Ling-Xiang MengOutpatient Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, People's Republic of China.
Wan-Qi YuOutpatient Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, People's Republic of China.
Min ZouOutpatient Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, 518112, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the efficacy of a smart outpatient service system incorporating the Health Butler application and Intelligent Accompaniment based on patients' feedback. Methods: A total of 1000 outpatients from Shenzhen Third People's Hospital were randomly selected in May 2023 and November 2023 to provide feedback before and after implementing the smart outpatient service system consisting of the Health Butler app and Intelligent Accompaniment. The changes in the patient's awareness of the medical treatment process, average waiting time, satisfaction with the experience of seeking medical treatment, and trust in medical services offered based on patient feedback were compared pre- and post-implementation. Results: There were significant differences in outpatients' awareness of the process of medical treatment, average waiting time, satisfaction with the experience of seeking medical care, and trust in medical services before and after the implementation of the smart outpatient service system ( Conclusion: The smart outpatient service system, which incorporated the Health Butler app and Intelligent accompaniment based on patient feedback, was effective in improving awareness of the process of medical treatment among outpatients, shortening their average waiting time, improving patient satisfaction with the experience of seeking medical care, and also enhancing their trust in medical services.

Indexed as

Health butlerintelligent accompanimentpatient feedbacksatisfaction with medical service experiencesmart outpatient systemtrust in medical services

Identifiers

PMID39655294
PMCPMC11625635

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.