Evidence map›Paper›PMID 34493926›Full record

ArticleInformation systems frontiers : a journal of research and innovation2021

Advancing the Understanding of the Role of Responsible AI in the Continued Use of IoMT in Healthcare.

Fatema Al-Dhaen, Jiachen Hou, Nripendra P Rana, Vishanth Weerakkody

Abstract read
In one paragraph

Article in Information systems frontiers : a journal of research and innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Unlocking Patient Resistance to AI in Healthcare: A Psychological Exploration.European journal of investigation in health, psychology and education · 2025
    Article
  3. Article
  4. Article
  5. Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection.Information systems frontiers : a journal of research and innovation · 2022
    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

4 authors.

Fatema Al-DhaenSchool of Management, University of Bradford, Richmond Road, Bradford, BD7 1DP UK.
Jiachen HouSchool of Management, University of Bradford, Richmond Road, Bradford, BD7 1DP UK.
Nripendra P RanaCollege of Business and Economics, Qatar University, P.O. Box 2713, Doha, Qatar.ORCID 0000-0003-1105-8729
Vishanth WeerakkodyFaculty of Management, Law and Social Sciences, University of Bradford, Richmond Road, Bradford, BD7 1DP UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper examines the continuous intention by healthcare professionals to use the Internet of Medical Things (IoMT) in combination with responsible artificial intelligence (AI). Using the theory of Diffusion of Innovation (DOI), a model was developed to determine the continuous intention to use IoMT taking into account the risks and complexity involved in using AI. Data was gathered from 276 healthcare professionals through a survey questionnaire across hospitals in Bahrain. Empirical outcomes reveal nine significant relationships amongst the constructs. The findings show that despite contradictions associated with AI, continuous intention to use behaviour can be predicted during the diffusion of IoMT. This study advances the understanding of the role of responsible AI in the continued use of IoMT in healthcare and extends DOI to address the diffusion of two innovations concurrently.

Indexed as

Artificial intelligenceAwarenessDiffusion of innovationInternet of medical thingsNovelty seekingResponsible AI

Identifiers

PMID34493926
PMCPMC8412855

What OpenQuestion holds

Textmetadata
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.