Cautiously optimistic: paediatric critical care nurses’ perspectives on data-driven algorithms in low-resource settings—a human-centred design study in Malawi

Background Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially in low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor and integrate clinical data can optimise scarce resou...

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Vydáno v:	BMC global and public health Ročník 2; číslo 1; s. 80 - 16
Hlavní autoři:	Rakers, Margot, Mwale, Daniel, de Mare, Lieke, Chirambo, Lezzie, Bierling, Bart, Likumbo, Alice, Langton, Josephine, Chavannes, Niels, van Os, Hendrikus, Calis, Job, Dellimore, Kiran, Villalobos-Quesada, María
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 02.12.2024 BMC
Témata:	applications for reducing global health gaps in disadvantaged populations Data-driven algorithms Digital interventions Environmental Health Epidemiology Health Policy Low-resource settings Malawi Medicine Medicine & Public Health Monitoring systems Nurses Paediatric critical care Public Health Quality of Life Research services Paediatric critical care Data-driven algorithms Malawi Nurses Low-resource settings Monitoring systems
ISSN:	2731-913X, 2731-913X
On-line přístup:	Získat plný text
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