Evidence map›Paper›PMID 40105162›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2025

Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Infusion pumps case study.

Nejra Merdović, Lemana Spahić, Madžida Hundur, Lejla Gurbeta Pokvić, Almir Badnjević

Expression of concernAbstract read
PubMed Publisher
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Theoretical applications of artificial intelligence in smart infusion pump technology: Expert panel insights.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Nejra MerdovićResearch Institute Verlab for Biomedical Engineering, Medical Devices and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina.
Lemana SpahićResearch Institute Verlab for Biomedical Engineering, Medical Devices and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina.ORCID 0000-0002-0922-6335
Madžida HundurResearch Institute Verlab for Biomedical Engineering, Medical Devices and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina.
Lejla Gurbeta PokvićResearch Institute Verlab for Biomedical Engineering, Medical Devices and Artificial Intelligence, Sarajevo, Bosnia and Herzegovina.
Almir BadnjevićFaculty of Pharmacy, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundAnalysis of data from incident registries such as MAUDE has identified the need to improve surveillance and maintenance strategies for infusion pumps to enhance patient and healthcare staff safety.ObjectiveThe ultimate goal is to enhance infusion pump management strategies in healthcare facilities, thus transforming the current reactive approach to infusion pump management into a proactive and predictive one.

Indexed as

Artificial IntelligenceInfusion PumpsMachine LearningProduct Surveillance, PostmarketingAlgorithmsBayes TheoremHumansSupport Vector Machineclinical engineeringinfusion pumpmachine learningmedical deviceperformance assessment

Identifiers

PMID40105162

What OpenQuestion holds

Textmetadata
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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.