Evidence map›Paper›PMID 29986684›Full record

ArticleBMC medical informatics and decision making2018

Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey.

Ignacio Ghersi, Mario Mariño, Mónica Teresita Miralles

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. [Modeling and comfort analysis of arrayed air cushion mattress for pressure ulcer prevention and assisted repositioning].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  7. Co-Design in Electrical Medical Beds with Caregivers.International journal of environmental research and public health · 2022
    Article
  8. The Dissemination Strategy of an Urban Smart Medical Tourism Image by Big Data Analysis Technology.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

3 authors.

Ignacio GhersiCentro de Investigación en Diseño Industrial de Productos Complejos (CIDI-FADU-UBA), Facultad de Arquitectura, Diseño y Urbanismo, Universidad de Buenos Aires, 2160 Intendente Güiraldes Ave, Buenos Aires, Argentina. igghersi@gmail.com.ORCID 0000-0001-7479-5449
Mario MariñoCentro de Investigación en Diseño Industrial de Productos Complejos (CIDI-FADU-UBA), Facultad de Arquitectura, Diseño y Urbanismo, Universidad de Buenos Aires, 2160 Intendente Güiraldes Ave, Buenos Aires, Argentina.
Mónica Teresita MirallesCentro de Investigación en Diseño Industrial de Productos Complejos (CIDI-FADU-UBA), Facultad de Arquitectura, Diseño y Urbanismo, Universidad de Buenos Aires, 2160 Intendente Güiraldes Ave, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent scientific achievements and technological advances have brought forward a massive display of new or updated medical devices, enabled with highly-developed embedded-control functions and interactivity. From the final decade of the twentieth century, medical beds have particularly been affected by this surge, taking on new forms and functions, while accommodating to established properties that have become well-known for these devices. The past fifteen years have also brought forward changes to conceptual frameworks, concerning the product design and manufacturing processes (standards), as well as the patient (perspectives on patient-care environments and accessibility). This work presents a state-of-art survey on electric medical beds, representing what is defined as the time of "smart beds", as part of an increasingly comprehensive patient-care environment.

methodsA survey and assessment of market trends, research efforts and standards related to smart medical beds was performed, covering a wide range of public records of intellectual property, models and related healthcare solutions, as well as relevant research efforts in the field between 2000 and 2016. Contextual topics, necessary for the understanding of this subject, on novel technologies, disability and the reach of healthcare systems, were also researched and interpreted.

resultsThe new generation of electric medical beds is defined, with the final stage of the proposed timeline for these devices being covered. Functional, aesthetic and interactive features are presented, and the current global market for medical beds and related standards are also assessed. Finally, discussions concerning rising challenges and opportunities for these systems are explored, with the potential for adding further monitoring and assistive implementations into medical devices and environments being highlighted.

conclusionsSmart medical beds are integrated solutions for patient care, assistance and monitoring, based on a comprehensive, multidisciplinary design approach. Research in this field is critical in a context of global ageing, and powered by a surge in opportunities for accessibility solutions. Smart beds, seamlessly integrated into the healthcare system, have a unique opportunity in enabling more efficient efforts for caregivers, and more responsive environments for patients.

Indexed as

BedsElectrical Equipment and SuppliesHealth Services ResearchHumansPatient-Centered CareSurveys and QuestionnairesAccessibilityElectric bedPatient-centeredSmart medical bedTechnology

Identifiers

PMID29986684
PMCPMC6038300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.