Evidence map›Paper›PMID 42484247›Full record

ArticleCritical care science2026

Tele-ICU platform model: point of care equipment telemetry and real-time remote critical assistance.

Cleidson Cavalcante, Paulo Miranda Cavalcante Neto, Walter Guerra, André Rodrigues, Aldenor Martins, Thais Suemi Yokoyama, Pedro Rizzi de Oliveira, Marcelo Brito Passos Amato, Carlos Roberto Ribeiro de Carvalho

Abstract readMulticenter Study
In one paragraph

Article in Critical care science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Cleidson CavalcanteLaboratory of Pulmonology LIM-09, Discipline of Pulmonology, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0003-4866-7114
Paulo Miranda Cavalcante NetoDivision of Pulmonology, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0001-8828-1000
Walter GuerraSignove Tecnologia S.A. - Campina Grande (PB), Brazil.ORCID http://orcid.org/0009-0001-0659-6023
André RodriguesSignove Tecnologia S.A. - Campina Grande (PB), Brazil.ORCID http://orcid.org/0009-0002-2245-8381
Aldenor MartinsSignove Tecnologia S.A. - Campina Grande (PB), Brazil.ORCID http://orcid.org/0009-0006-3031-5208
Thais Suemi YokoyamaDigital Health, Center for Technological Innovation, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-6219-1813
Pedro Rizzi de OliveiraDigital Health, Center for Technological Innovation, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-1991-1571
Marcelo Brito Passos AmatoDivision of Pulmonology, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0003-3525-8282
Carlos Roberto Ribeiro de CarvalhoDivision of Pulmonology, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-1618-8509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the requirements for modeling the tele-ICU platform, its development, the process, software, and hardware technologies employed. We also present its performance based on a proof-of-concept in a remote intensive care unit environment.

methodsThis multicenter, prospective implementation study was conducted in three Level III Intensive Care Units in distinct Brazilian regions between June 2021 and December 2022. The INTEGRARE®, an Internet of Medical Things-based hardware/software architecture enabling agnostic integration of multiparameter monitors and mechanical ventilators, was deployed to provide continuous high-frequency telemetry, a unified analytical dashboard, and synchronous audiovisual communication for tele-round sessions. The proof-of-concept comprised continuous multimodal monitoring, collaborative tele-round discussions, and structured knowledge transfer. Nineteen months of multiparameter monitors and mechanical ventilators data were processed through a four-step data workflow (edge server, cloud storage, preprocessing, and analytical layer). All clinical, operational, and performance metrics were automatically generated by the platform.

resultsThe INTEGRARE® enabled integration of multiparameter monitors and mechanical ventilator devices across 30 intensive care unit beds, generating over 2 billion data points with a median acquisition frequency of ~1 second and cross-device synchronization under 5 seconds. A total of 361 patients were monitored (7,235 intensive care unit-days), with a median intensive care unit stay of 14 days and 11 days on mechanical ventilators among ventilated patients. Tele-round sessions completed 484 hours, with a median of 3 hours and 39 minutes per intensive care unit per week. The platform supported real-time visualization and retrospective review of physiological curves, ventilator mechanics, laboratory results, and imaging within a unified dashboard. High adherence to tele-round routines was observed across multidisciplinary teams, who spontaneously incorporated multimodal telemetry into case discussions. Immediate bedside impact was common, including rapid identification and correction of patients' ventilator asynchrony.

conclusionThe Tele-UTI Conectada model provides a technical infrastructure that supports standardization, situation awareness, and collaborative clinical decision-making by integrating real-time telemetry with synchronous audiovisual interaction across heterogeneous intensive care units. Multidisciplinary teams successfully adopted the platform and routinely used it to conduct structured case discussions.

Indexed as

Intensive Care UnitsPoint-of-Care SystemsTelemedicineTelemetryBrazilDashboard SystemsHumansProspective StudiesRemote Patient Monitoring

Identifiers

PMID42484247
PMCPMC13399245

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.