Evidence map›Paper›PMID 39037541›Full record

ArticleMedical & biological engineering & computing2024

Deployment and validation of a smart bed architecture for untethered patients with wireless biomonitoring stickers.

Tânia Nunes, Luís Gaspar, José N Faria, David Portugal, Telmo Lopes, Pedro Fernandes, Mahmoud Tavakoli

Abstract readValidation Study
In one paragraph

Article in Medical & biological engineering & computing, 2024. 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

7 authors.

Tânia NunesInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
Luís GasparInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
José N FariaInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
David PortugalInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal. davidbsp@isr.uc.pt.ORCID http://orcid.org/0000-0002-1447-0439
Telmo LopesInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
Pedro FernandesInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
Mahmoud TavakoliInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.ORCID https://orcid.org/0000-0002-2590-2196

Funding

Agência Nacional de Inovação CENTRO-01- 0247-FEDER-045931Fundação para a Ciência e a Tecnologia 2022.05726.CEECIND
6 · The paper itself

Abstract

Conventional patient monitoring in healthcare has limitations such as delayed identification of deteriorating conditions, disruptions to patient routines, and discomfort due to extensive wiring for bed-bound patients. To address these, we have recently developed an innovative IoT-based healthcare system for real-time wireless patient monitoring. This system includes a flexible epidermal patch that collects vital signs using low power electronics and transmits the data to IoT nodes in hospital beds. The nodes connect to a smart gateway that aggregates the information and interfaces with the hospital information system (HIS), facilitating the exchange of electronic health records (EHR) and enhancing access to patient vital signs for healthcare professionals. Our study validates the proposed smart bed architecture in a clinical setting, assessing its ability to meet healthcare personnel needs, patient comfort, and data transmission reliability. Technical performance assessment involves analyzing key performance indicators for communication across various interfaces, including the wearable device and the smart box, and the link between the gateway and the HIS. Also, a comparative analysis is conducted on data from our architecture and traditional hospital equipment. Usability evaluation involves questionnaires completed by patients and healthcare professionals. Results demonstrate the robustness of the architecture proposed, exhibiting reliable and efficient information flow, while offering significant improvements in patient monitoring over conventional wired methods, including unrestricted mobility and improved comfort to enhance healthcare delivery.

Indexed as

Wearable Electronic DevicesWireless TechnologyAdultBedsElectronic Health RecordsFemaleHospital Information SystemsHumansMaleMiddle AgedMonitoring, PhysiologicDigital healthcareInternet of ThingsInteroperabilityPerformance metrics

Identifiers

PMID39037541
PMCPMC11639216

What OpenQuestion holds

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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.