Evidence map›Paper›PMID 42850609›Full record

ArticleBMC nursing2026

From manual to digital: prospective ICU evaluation of the FIZE kUO

Olivier Zerbib, Tawfik Mahamid, Noa Ben-Noon, Shaul Lev

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Article in BMC nursing, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Olivier ZerbibDepartment of General Intensive Care, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel.
Tawfik MahamidDepartment of General Intensive Care, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel.
Noa Ben-NoonDepartment of General Intensive Care, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel.
Shaul LevDepartment of General Intensive Care, Hasharon Hospital, Rabin Medical Center, Petah Tikva, Israel. shaul4687@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundICU nurses manage complex, time-sensitive care while also performing frequent manual tasks. Manual urine output (UO) measurement is one such task that remains labor-intensive, interruptive to workflow, and prone to delays - despite the need for timely and accurate recording. Automation may reduce this burden and improve consistency of monitoring. The FIZE kUO

methodsWe conducted a prospective, single-center pilot study to evaluate the usability, workflow impact, and safety of the FIZE kUO

resultsNursing staff reported positive perceptions regarding ease of setup (84-87%), time saving (74%), and improved recognition of changes in UO (87%). At treatment completion, 88.9% of nurses indicated the system prevented missing data, and 78% reported it facilitated earlier identification of situations requiring intervention. The device provided continuous monitoring for a total of 1,263 patient-hours, with no device-related adverse events or serious adverse events observed.

conclusionAutomating urine output monitoring was perceived by nurses as beneficial for workflow efficiency, data reliability, and clinical awareness. Nurses perceived the FIZE kUO

Indexed as

Acute kidney injuryCritical care monitoringElectronic urine monitoringFluid managementMedical deviceUrine output

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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.