Evidence map›Paper›PMID 42325278›Full record

ArticleClinicoEconomics and outcomes research : CEOR2026

Total Laboratory Automation for Microbiology Activities: An HTA Analysis in an Italian Laboratory Setting.

Emanuela Foglia, Elisabetta Garagiola, Lucrezia Ferrario, Edmondo Adorisio, Giuseppe Gagliardi, Francesca Domenica Lenoci

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

6 authors.

Emanuela FogliaHD Laboratory - Healthcare Datascience LAB, Carlo Cattaneo - LIUC University, Castellanza, VA, Italy.ORCID 0000-0003-1381-9069
Elisabetta GaragiolaHD Laboratory - Healthcare Datascience LAB, Carlo Cattaneo - LIUC University, Castellanza, VA, Italy.
Lucrezia FerrarioHD Laboratory - Healthcare Datascience LAB, Carlo Cattaneo - LIUC University, Castellanza, VA, Italy.ORCID 0000-0002-8561-898X
Edmondo AdorisioDi Venere Carbonara Hospital, Bari, BA, Italy.
Giuseppe GagliardiDi Venere Carbonara Hospital, Bari, BA, Italy.
Francesca Domenica LenociDi Venere Carbonara Hospital, Bari, BA, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Microbiology laboratories face increasing challenges related to rising sample volumes, workforce constraints, and the need for improved diagnostic accuracy and efficiency. Total Laboratory Automation (TLA) has emerged as a transformative solution to optimize workflows, enhance safety, and improve resource utilization. This study focuses on urine cultures and the follow-up of positive blood cultures and evaluates the impact of TLA implementation in a microbiology laboratory, assessing efficiency, economic sustainability, and healthcare professionals' perceptions. Methods: A Health Technology Assessment (HTA) approach was employed, integrating real-life data from a single-center hospital laboratory in Italy before and after TLA implementation. Key performance indicators (KPIs) were defined through a literature review and expert consensus. Real-life data were collected over two time periods: the pre-automation phase (manual workflow) and post-automation phase (TLA) for urine culture and positive blood culture. The economic and organizational impact was assessed by quantifying human resource efforts, while a qualitative survey captured healthcare professionals' perceptions regarding automation. Results: TLA significantly reduced sample processing times, with a 67% decrease in check-in time and a significant reduction in inoculation (up to 100%) and plate reading (-69%) times, respectively. Economic analysis indicated a 67% reduction in costs for personnel time required to process urine cultures and perform initial workups of positive blood cultures on annual basis with consequent organizational benefits, in terms of time spent in sample processing (-71%). Healthcare professionals reported improved safety and reduced workload, making them more inclined to adopt TLA, perceived as useful and capable to offer high-quality and demonstrable results. Conclusion: Findings emphasize TLA potentialities in the management of microbiology procedures overall improvement, empowering the laboratory efficiency and organizational capacity, allowing better investment of the human resources involved.

Indexed as

automated diagnostic systemseconomic sustainabilitylaboratory workflow optimizationorganizational assessmentTLA

Identifiers

PMID42325278
PMCPMC13281764

What OpenQuestion holds

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Registered trials

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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.