Evidence map›Paper›PMID 39252809›Full record

ArticleAdvances in laboratory medicine2024

Managing laboratory test ordering: a challenge in the new laboratory medicine model.

María Salinas, Ruth Torreblanca, Eduardo Sanchez, Álvaro Blasco, Emilio Flores, Maite López-Garrigós

Abstract read
In one paragraph

Article in Advances in laboratory medicine, 2024. 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.

María SalinasService of Biochemistry, Hospital Universitario San Juan de Alicante, Alicante, Spain.ORCID https://orcid.org/0000-0003-3420-5509
Ruth TorreblancaService of Biochemistry, Hospital Universitario San Juan de Alicante, Alicante, Spain.
Eduardo SanchezService of Biochemistry, Hospital Universitario San Juan de Alicante, Alicante, Spain.
Álvaro BlascoService of Biochemistry, Hospital Universitario San Juan de Alicante, Alicante, Spain.
Emilio FloresService of Biochemistry, Hospital Universitario San Juan de Alicante, Alicante, Spain.
Maite López-GarrigósService of Biochemistry, Hospital Universitario San Juan de Alicante, Alicante, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The role of Laboratory Medicine in patient care has evolved in the last decades. The same has occurred to the laboratory model, which has evolved from a traditional model where the laboratory is merely involved in clinical decision-making to a leading model where the laboratory is not only involved but also determines decision-making. The advent of new technologies and automation of processes have enabled laboratory professionals to focus on the first and last phase of the analytical process namely, test ordering and decision-making based on laboratory results. These phases are more error-prone than the analytical phase, and where action must be taken to improve the quality of patient care. Content: We share our experience in the design and establishment of laboratory test demand management interventions that facilitated diagnosis of occult disease, improved adherence to clinical guidelines, and optimized patient safety. Summary: A description is provided of key points in the management of laboratory test over/underutilization. Outlook: The objective of this review is to promote the involvement of laboratory professionals in the design and implementation of demand management interventions and in the development of the new Leader Laboratory model.

Indexed as

appropriatenessdemand managementlaboratory medicineresult management

Identifiers

PMID39252809
PMCPMC11381944

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.