Evidence map›Paper›PMID 37652901›Full record

ArticleScientific reports2023

Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support.

A Maccaro, S M Pagliara, M Zarro, D Piaggio, F Abdulsalami, W Su, M S Haleem, L Pecchia

Abstract read
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. 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. 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

8 authors.

A Maccaro *School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
S M Pagliara *School of Engineering, University of Warwick, Coventry, CV4 7AL, UK. silvio.pagliara@warwick.ac.uk.
M ZarroDepartment of Internal Medicine and Medical Therapy, University of Pavia, 27100, Pavia, Italy.
D PiaggioSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
F AbdulsalamiSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
W SuSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
M S HaleemSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
L PecchiaSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The well-being of students and staff directly affects their output and efficiency. This study presents the results of two focus groups conducted in 2022 within a two-phase project led by the Applied Biomedical and Signal Processing Intelligent e-Health Lab, School of Engineering at the University of Warwick, and British Telecom within "The Connected Campus: University of Warwick case study" program. The first phase, by involving staff and students at the University of Warwick, aimed at collecting preliminary information for the subsequent second phase, about the feasibility of the use of Artificial Intelligence and Internet of Things for well-being support on Campus. The main findings of this first phase are interesting technological suggestions from real users. The users helped in the design of the scenarios and in the selection of the key enabling technologies which they considered as the most relevant, useful and acceptable to support and improve well-being on Campus. These results will inform future services to design and implement technologies for monitoring and supporting well-being, such as hybrid, minimal and even intrusive (implantable) solutions. The user-driven co-design of such services, leveraging the use of wearable devices and Artificial Intelligence deployment will increase their acceptability by the users.

Indexed as

Artificial IntelligenceBiomedical EngineeringBioengineeringEngineeringFocus GroupsHumans

Identifiers

PMID37652901
PMCPMC10471689

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.