Evidence map›Paper›PMID 39439985›Full record

ArticleJournal of multidisciplinary healthcare2024

Evaluating the Sustainable Competitive Advantage of Saudi e-Healthcare System: An Empirical Study.

Fahad M Al-Anezi

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Fahad M Al-AneziCollege of Business Administration, Department Management Information Systems, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.ORCID 0000-0002-5458-7818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study Purpose: This study seeks to investigate the various dimensions contributing to the sustainable competitive advantage of the Saudi eHealthcare system. Methods: A cross-sectional survey design was adopted in this study. Eleven factors were identified that may affect the sustainable competitive advantage, which were embedded in to the survey questionnaire. Participants included diverse healthcare workers (physicians, specialist physicians, nurses, managers) from Saudi public hospitals. A total of 382 healthcare workers participated in the study. Results: User experience and accessibility emerged as the most significant factor with a high mean of 4.04 ± 0.69, followed by innovation and continuous improvement (mean 3.8 ± 0.89) and AI adoption (mean 3.91 ± 0.82). Notably, a statistically significant difference is observed in the domain of Data Security and Privacy ( Conclusion: The need to strengthen overall competitiveness is emphasized by identified areas for improvement, including data security, interoperability, and integration, which highlight the necessity for specific initiatives.

Indexed as

artificial intelligencecompetitive advantageeHealtheHealthcaresustainable

Identifiers

PMID39439985
PMCPMC11495205

What OpenQuestion holds

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LicenceCC BY-NC
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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.