Evidence map›Paper›PMID 35444982›Full record

ArticleFrontiers in public health2022

Reduction of the Cycle Time in the Biopsies Diagnosis Through a Simulation Based on the Box Müller Algorithm.

Félix Badilla-Murillo, Bernal Vargas-Vargas, Oscar Víquez-Acuña, Justo García-Sanz-Calcedo

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

4 authors.

Félix Badilla-MurilloIndustrial Production Engineering, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.
Bernal Vargas-VargasIndustrial Production Engineering, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.
Oscar Víquez-AcuñaComputer Engineering, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.
Justo García-Sanz-CalcedoEngineering Projects Area, University de Extremadura, Badajoz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anatomic pathology services study disease in hospitals on the basis of macroscopic and microscopic examination of organs and tissues. The focus of this research investigation was on improving clinical biopsy diagnosis times through simulation based on the Box-Muller algorithm to reduce the waiting time in the diagnosis of clinical biopsies. The data were provided by a hospital in San José (Costa Rica). They covered 5 years and showed waiting times for a pathological diagnosis that for some biopsies were close to 120 days. The correlation between the main causes identified and the cycle time in the biopsy diagnostic process was defined. A statistical analysis of the variables most representative of the process and of the waiting times was carried out. It followed the DMAIC structure (Define, Measure, Analyse, Improve, Control) for the continuous improvement of processes. Two of the activities of the process were identified as being the main bottlenecks. Their processing times had a normal distribution, for which reason a Box-Muller algorithm was used to generate the simulation model. The results showed that waiting times for a diagnosis can be reduced to 3 days, for a productive capacity of 8 000 biopsies per annum, optimizing the logistics performance of health care.

Indexed as

AlgorithmsDelivery of Health CareBiopsyComputer SimulationTime FactorsBox Müller algorithmdiscrete event simulationhealthcare engineeringhospital managementinstalled productive capacitylogistics (business)process model

Identifiers

PMID35444982
PMCPMC9013820

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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.