Evidence map›Paper›PMID 42676752›Full record

ArticleFrontiers in medicine2026

Application of digital and intelligent intervention in medication errors of metformin after CTA examination.

Ting Zhao, Yan Xu, Haihong Li, Qiuyu Gu, Min Shi, Yu Liu, Meng Wu

Abstract read
In one paragraph

Article in Frontiers in medicine, 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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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

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

7 authors.

Ting ZhaoThe First People's Hospital of Lianyungang, Lianyungang, China.
Yan XuThe First People's Hospital of Lianyungang, Lianyungang, China.
Haihong LiThe First People's Hospital of Lianyungang, Lianyungang, China.
Qiuyu GuThe First People's Hospital of Lianyungang, Lianyungang, China.
Min ShiThe First People's Hospital of Lianyungang, Lianyungang, China.
Yu LiuThe First People's Hospital of Lianyungang, Lianyungang, China.
Meng WuThe First People's Hospital of Lianyungang, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effectiveness of digital and intelligent intervention in the medication errors of metformin after CTA examination. Methods: Patients who underwent CTA examinations in a tertiary A general hospital in Jiangsu Province from January to September 2025 were selected as the study subjects. The patients from January to April 2025 who received intervention based on conventional information technology were in a control group, and the patients from June to September 2025 who received digital and intelligent intervention were in an intervention group. The incidence of metformin misadministration, the satisfaction of medical staff, the pass rate of the assessment on medication contraindications for CTA examinations, the participation rate of caregivers, the compliance rate of nurses in distributing oral medications, and the number of oral medication errors were compared between the 2 groups. Results: After applying digital and intelligent intervention, the incidence of metformin overdose in CTA examination patients decreased from 2.36 to 0.32%. There was a statistically significant difference between the intervention group and the control group (χ Conclusion: Digital and intelligent intervention can reduce medication errors of metformin after CTA examination for patients. These interventions help decrease the incidence of adverse events, promote the involvement of both patients and caregivers, optimize the healthcare service system, and ensure patient safety.

Indexed as

CTA examinationdigital and intelligentinterventionmedication errorroot cause analysis

Identifiers

PMID42676752
PMCPMC13527006

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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.