PreprintCited by 13Artificial Intelligence in Healthcare and EducationArtificial Intelligence ApplicationsArtificial Intelligence in Healthcare

Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review

Open access
Assadullah, Mir Mohammed·2019·SSRN Electronic Journal

Integrity signals

Registry

Crossref · 10.2139/ssrn.3530598

Cites

200 of 200 references verified0 citation errors · 0 not checkable

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Authors
Assadullah, M. M.
Affiliations
University of Maryland Global Campus (US)
Corresponding author
Assadullah, Mir Mohammed
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2019
ISSN
1556-5068 (ISSN-L)
OpenAlex
W3043027204
Cited by
13
References
200
Citations by year
2026: 3 · 2025: 5 · 2024: 2 · 2023: 2 · 2021: 1
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
artificial intelligence adoption, health management, barriers to adoption, artificial intelligence in healthcare, health data, AI regulation, employee training, healthcare workers

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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