Reliability analysis of hospital infusion pumps: a case study
In 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.
Authors
- Mayla dos Santos Silva (ORCID: https://orcid.org/0000-0003-1962-3614)
- Antônio Piratelli-Filho (ORCID: https://orcid.org/0000-0002-7773-3187)
- Maria Alzira de Araújo Nunes (ORCID: https://orcid.org/0000-0002-7525-0819)
- Suélia de Siqueira Rodrigues Fleury Rosa (ORCID: https://orcid.org/0000-0002-1247-9050)
Institutions
- Universidade de Brasília (BR)
- Cornell University (US)
- Governo do Distrito Federal (BR)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2025-05-07
- DOI
- https://doi.org/10.1186/s12938-025-01389-2
- Citations
- 1
- Primary Topic
- Intravenous Infusion Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Universidade de Brasília
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico