Evidence map›Paper›PMID 40336041›Full record

ArticleBiomedical engineering online2025

Reliability analysis of hospital infusion pumps: a case study.

Mayla Dos S Silva, Maria Alzira de A Nunes, Suélia de Siqueira R F Rosa, Antônio Piratelli-Filho

Abstract read
In one paragraph

Article in Biomedical engineering online, 2025. 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

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

4 authors.

Mayla Dos S SilvaPostgraduate Program in Integrity of Engineering Materials, University of Brasilia, St. Leste Projeção A - Gama Leste, Brasilia, 72.444-240, Distrito Federal, Brazil. mayla.s@hotmail.com.
Maria Alzira de A Nunes *Postgraduate Program in Integrity of Engineering Materials, University of Brasilia, St. Leste Projeção A - Gama Leste, Brasilia, 72.444-240, Distrito Federal, Brazil.
Suélia de Siqueira R F Rosa *Mechanical Engineering Department, University of Brasilia, Campus Universitário Darcy Ribeiro, Asa Norte, Brasilia, 70.910-900, Distrito Federal, Brazil.
Antônio Piratelli-Filho *Mechanical Engineering Department, University of Brasilia, Campus Universitário Darcy Ribeiro, Asa Norte, Brasilia, 70.910-900, Distrito Federal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfusion pumps (IPs) are medical devices used for the continuous and precise delivery of medications or nutrients. Their use has expanded and is now widespread in emergency rooms, ICUs, pediatrics, and other hospital departments. Failures in IPs can lead to adverse events, compromising patient health. In addition to the risks to patients, IPs are the medical devices most frequently associated with reports of adverse events in Brazil, highlighting the need to monitor their operational conditions to minimize failures during use.

resultsThus, the objective of this research is to analyze the reliability of infusion pumps (IPs) in a Brazilian hospital using an internal database from Clinical Engineering software. Probability distributions for repair time and time between failures were modeled, and parameters such as reliability and availability were calculated, with a focus on investigating hospital departments with recurring failures.

conclusionIn evaluating the operating equipment, a lack of detail in failure notes and service order openings was observed, which can hinder maintenance planning. The longest repair times were recorded in the ICU (Neurology), which houses the majority of IPs. Graphical analysis and testing demonstrated that the Weibull distribution effectively models both time between failures and repair time. The IP A model showed better results in terms of availability and reliability, thereby improving the security of the IPs.

Indexed as

Equipment Failure AnalysisHospitalsInfusion PumpsHumansReproducibility of ResultsAvailabilityInfusion pumpMaintenanceMedical deviceReliability

Identifiers

PMID40336041
PMCPMC12060531

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