Evidence map›Paper›PMID 41373225›Full record

ReviewHealthcare (Basel, Switzerland)2025

Bridging Technology and Healthcare: A Bibliometric Review of Assistive Technologies in Hospital Environments.

Debopriyo Roy, Eleni Gkiolnta, George F Fragulis

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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.

Debopriyo RoyTechnical Communication Laboratory, Center for Language Research, Department of Computer Science & Engineering, The University of Aizu, Aizuwakamatsu 965-8580, Japan.ORCID 0000-0002-3244-5392
Eleni GkiolntaDepartment of Educational & Social Policy, University of Macedonia, 54636 Thessaloniki, Greece.ORCID 0000-0003-4531-9667
George F FragulisDepartment of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece.ORCID 0000-0002-8961-7423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, healthcare systems face many challenges due to the increasing number of elderly people and the complex needs of patients with multiple diseases. Previous research has shown that assistive technologies (ATs), like wearable devices, mobile health (mHealth) apps, and smart monitoring systems, can help improve patient care and make healthcare services more efficient. However, many of these studies do not focus so much on hospitals and do not clearly show the effects on clinical outcomes. In this study, the authors conducted a bibliometric analysis using the Scopus database to determine how much research has been carried out on assistive technologies in hospitals, especially for patient profiling and treatment. The authors chose articles from the last 20 years using specific inclusion and exclusion criteria, and VOSviewer software (version 1.6.20) was used to study keywords, co-authorship, and citation networks to find research trends and missing areas. The results show that even if assistive technologies are growing fast, there are not many studies that focus on hospitals or on important outcomes like quality of care and treatment results. Most of the research is in computer science and engineering, and many keywords for hospital use are not common. This study discusses how assistive technologies can help change healthcare and also shows the current problems, like system integration, data privacy, cost, and whether users accept the technologies. The authors suggest that future research must look at personal solutions, international standards, and better cooperation between doctors, engineers, and policymakers.

Indexed as

assistive technologies (ATs)bibliometric analysishealthcare systemshospital applicationspatient profiling

Identifiers

PMID41373225
PMCPMC12692132

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.