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Cited by 138Artificial Intelligence in Healthcare and EducationArtificial Intelligence in EducationInnovations in Medical Education

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan

Open access
Al-Qerem, Walid, Eberhardt, Judith, Jarab, Anan, Al Bawab, Abdel Qader, Hammad, Alaa, Alasmari, Fawaz, Alazab, Badi’ah, Husein, Daoud Abu, Alazab, Jumana, Al-Beool, Saed·2023·BMC Medical Informatics and Decision Making
DOI 10.1186/s12911-023-02403-0PMC PMC10722664
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Abstract

Introduction: The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions’ students in Jordan concerning AI, providing insights into their preparedness and perceptions. Methods: An online questionnaire was distributed to 483 Jordanian health professions’ students via social media. Demographic data, AI-related KAP, and barriers were collected. Quantile regression models analyzed associations between variables and KAP scores. Results: Moderate AI knowledge was observed among participants, with specific understanding of data requirements and barriers. Attitudes varied, combining skepticism about AI replacing human teachers with recognition of its value. While AI tools were used for specific tasks, broader integration in medical education and practice was limited. Barriers included lack of knowledge, access, time constraints, and curriculum gaps. Conclusions: This study highlights the need to enhance medical education with AI topics and address barriers. Students need to be better prepared for AI integration, in order to enable medical education to harness AI’s potential for improved patient care and training.

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  1. Hosseini F, Mirzaei A. A survey of perspectives and factors in the Development of Medical Tourism in the Middle East. J Archives Military Med 2021. 2021;9:3.

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Metadata

Authors
Al-Qerem, W., Eberhardt, J., Jarab, A., Al Bawab, A. Q., Hammad, A., Alasmari, F., Alazab, B., Husein, D. A., Alazab, J., & Al-Beool, S.
Affiliations
  • Al-Zaytoonah University of Jordan (JO)
  • Teesside University (GB)
  • Jordan University of Science and Technology (JO)
  • King Saud University (SA)
  • University of Jordan (JO)
Corresponding author
Al-Qerem, Walid
ORCID
Venue
BMC Medical Informatics and Decision Making
Publisher
Springer Science and Business Media LLC
Published
2023-12-14
Volume
23
Issue
1
Pages
288-288
ISSN
1472-6947 (ISSN-L)
DOI
10.1186/s12911-023-02403-0
PMC
PMC10722664
OpenAlex
W4389728663
Cited by
138
References
24
Citations by year
2026: 51 · 2025: 58 · 2024: 26 · 2023: 1
FWCI
5.42
Type
journal article
Language
en
Open access
Licence
Locations
  • BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • TeesRep (Teesside University) (acceptedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
King Saud University (RSP2023R235)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Education › Artificial Intelligence in Education
  • Social Sciences › Education › Innovations in Medical Education
Keywords
artificial intelligence, health professions students, knowledge, attitudes and practices, medical education, clinical implementation of AI, curriculum gaps, Jordan
MeSH terms
Artificial Intelligence, Health Occupations, Humans, Jordan, Health Knowledge, Attitudes, Practice, Students

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