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Factors Influencing the Effectiveness of E-Learning in Healthcare: A Fuzzy ANP Study
Dalarna University, School of Information and Engineering, Microdata Analysis.ORCID iD: 0000-0001-7190-2640
2023 (English)In: Healthcare, E-ISSN 2227-9032, Vol. 11, no 14, article id 2035Article in journal (Refereed) Published
Abstract [en]

E-learning has transformed the healthcare education system by providing healthcare professionals with training and development opportunities, regardless of their location. However, healthcare professionals in remote or rural areas face challenges such as limited access to educational resources, lack of reliable internet connectivity, geographical isolation, and limited availability of specialized training programs and instructors. These challenges hinder their access to e-learning opportunities and impede their professional development. To address this issue, a study was conducted to identify the factors that influence the effectiveness of e-learning in healthcare. A literature review was conducted, and two questionnaires were distributed to e-learning experts to assess primary variables and identify the most significant factor. The Fuzzy Analytic Network Process (Fuzzy ANP) was used to identify the importance of selected factors. The study found that success, satisfaction, availability, effectiveness, readability, and engagement are the main components ranked in order of importance. Success was identified as the most significant factor. The study results highlight the benefits of e-learning in healthcare, including increased accessibility, interactivity, flexibility, knowledge management, and cost efficiency. E-learning offers a solution to the challenges of professional development faced by healthcare professionals in remote or rural areas. The study provides insights into the factors that influence the effectiveness of e-learning in healthcare and can guide the development of future e-learning programs.

Place, publisher, year, edition, pages
2023. Vol. 11, no 14, article id 2035
Keywords [en]
healthcare, medical informatics, information management, public health, knowledge management
National Category
Information Systems
Identifiers
URN: urn:nbn:se:du-46678DOI: 10.3390/healthcare11142035ISI: 001036095800001PubMedID: 37510477Scopus ID: 2-s2.0-85166585985OAI: oai:DiVA.org:du-46678DiVA, id: diva2:1787094
Available from: 2023-08-11 Created: 2023-08-11 Last updated: 2024-11-20Bibliographically approved

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Sadeghian, Paria

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf