Evidence map›Paper›PMID 38400737›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA2024

Concerted adoption as an emerging strategy for digital transformation of healthcare-lessons from Australia, Canada, and England.

Kathrin Cresswell, Clair Sullivan, Jeremy Theal, Hajar Mozaffar, Robin Williams

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Palliative care and social practice · 2026
    Article
  4. Article
  5. Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.European journal of dental education : official journal of the Association for Dental Education in Europe · 2025
    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

5 authors.

Kathrin CresswellUsher Institute, University of Edinburgh, Old Medical School, Teviot Place, Edinburgh EH8 9AG United Kingdom.
Clair SullivanQueensland Digital Health Centre, Faculty of Medicine, University of Queensland, Brisbane St Lucia, QLD 4072, Australia.
Jeremy ThealDepartment of Medicine, University of Alberta, Edmonton AB T6G 2R3, Canada.
Hajar MozaffarBusiness School, University of Edinburgh, Edinburgh EH8 9AG, United Kingdom.
Robin WilliamsInstitute for the Study of Science, Technology and Innovation, University of Edinburgh, Edinburgh EH1 1LZ, United Kingdom.

Funding

Global Digital Exemplar ProgramNational Health Service England
6 · The paper itself

Abstract

objectivesWith an increasing focus on the digitalization of health and care settings, there is significant scope to learn from international approaches to promote concerted adoption of electronic health records. MATERIALS AND

methodsWe review three large-scale initiatives from Australia, Canada, and England, and extract common lessons for future health and social care transformation strategy.

resultsWe discuss how, despite differences in contexts, concerted adoption enables sharing of experience and learning to streamline the digital transformation of health and care. DISCUSSION AND

conclusionConcerted adoption can be accelerated through building communities of expertise and partnerships promoting knowledge transfer and circulation of expertise; commonalities in geographical and cultural contexts; and commonalities in technological systems.

Indexed as

Delivery of Health CareElectronic Health RecordsAustraliaCanadaHumansPalliative Careadoptiondigitalstrategytransformation

Identifiers

PMID38400737
PMCPMC11031228

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.