Evidence map›Paper›PMID 37669946›Full record

ArticleScientific reports2023

Complexity measure based on sensitivity analysis applied to an intensive care unit system.

Joao R B Paiva, Viviane M G Pacheco, Poliana S Barbosa, Fabiana R Almeida, Gabriel A Wainer, Flavio A Gomes, Antonio P Coimbra, Wesley P Calixto

Abstract read
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In one paragraph

Article in Scientific reports, 2023. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

The trial behind it

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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

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5 · Who and what money

Authors and funding

8 authors.

Joao R B PaivaSchool of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG), Goiania, GO, 74605-010, Brazil. joao.paiva@ifg.edu.br.
Viviane M G PachecoSchool of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG), Goiania, GO, 74605-010, Brazil.
Poliana S BarbosaStudies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania, GO, 74130-012, Brazil.
Fabiana R AlmeidaStudies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias (IFG), Goiania, GO, 74130-012, Brazil.
Gabriel A WainerVisualization and Simulation Centre (VSIM), Carleton University (CU), Ottawa, ON, K1S 5B6, Canada.
Flavio A GomesSchool of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG), Goiania, GO, 74605-010, Brazil.
Antonio P CoimbraSystems and Robotics Institute (ISR), Coimbra University (UC), 3030-790, Coimbra, DC, Portugal.
Wesley P CalixtoSchool of Electrical, Mechanical and Computer Engineering (EMC), Federal University of Goias (UFG), Goiania, GO, 74605-010, Brazil. wesley.pacheco@ieee.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work proposes a system complexity metric and its application to Intensive Care Unit (ICU) system. The methodology for applying said complexity metric comprises: (i) parameters sensitivity indices calculation, (ii) mapping connections dynamics between system components, and (iii) system's complexity calculation. After simulating the ICU computer model and using the proposed methodology, we obtained results regarding: number of admissions, number of patients in the queue, length of stay, beds in use, ICU performance, and system complexity values (in regular or overloaded operation). As the number of patients in the queue increased, the ICU system complexity also increased, indicating a need for policies to promote system robustness.

Indexed as

BedsHospitalizationComputer SimulationHumansIntensive Care UnitsPolicy

Identifiers

PMID37669946
PMCPMC10480223

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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.