Evidence map›Paper›PMID 31022750›Full record

ArticleYearbook of medical informatics2019

Role of Artificial Intelligence within the Telehealth Domain.

Craig Kuziemsky, Anthony J Maeder, Oommen John, Shashi B Gogia, Arindam Basu, Sushil Meher, Marcia Ito

Abstract read
In one paragraph

Article in Yearbook of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Urban mental health: a position paper of the European psychiatric association.European psychiatry : the journal of the Association of European Psychiatrists · 2025
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  16. AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
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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.

Craig KuziemskyTelfer School of Management, University of Ottawa, Ottawa, Canada.
Anthony J MaederCollege of Nursing & Health Sciences, Flinders University, Adelaide, Australia.
Oommen JohnGeorge Institute for Global Health, University of New South Wales, New Delhi, India.
Shashi B GogiaSociety for Administration of Telemedicine and Healthcare Informatics, New Delhi, India.
Arindam BasuUniversity of Canterbury School of Health Sciences, Christchurch, New Zealand.
Sushil MeherAll India Institute of Medical Sciences, New Delhi, India.
Marcia ItoIBM Research, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, based on reports of recent advances.

methodsExamples of telehealth innovations involving Artificial Intelligence to support or supplement remote health care delivery were identified from recent literature by the authors, on the basis of expert knowledge. Observations from the examples were synthesized to yield an overview of contemporary directions for the perceived role of Artificial Intelligence in telehealth.

resultsTwo major focus areas for related contemporary directions were established. These were first, quality improvement for existing clinical practice and service delivery, and second, the development and support of new models of care. Case studies from each focus area have been chosen for illustration purposes.

conclusionExamples of the role of Artificial Intelligence in delivery of health care remotely include use of tele-assessment, tele-diagnosis, tele-interactions, and tele-monitoring. Further developments of underlying algorithms and validation of methods will be required for wider adoption. Certain key social and ethical considerations also need consideration more generally in the health system, as Artificial-Intelligence-enabled-telehealth becomes more commonplace.

Indexed as

Artificial IntelligenceTelemedicineHumansMonitoring, PhysiologicQuality Improvement

Identifiers

PMID31022750
PMCPMC6697552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.