Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read More Add to Saved list
  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 101088679 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6920 (Electronic) Linking ISSN: 14726920 NLM ISO Abbreviation: BMC Med Educ Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : BioMed Central, [2001-
    • Subject Terms:
      Students, Nursing*/psychology ; Artificial Intelligence* ; Health Knowledge, Attitudes, Practice* ; Health Literacy*; Humans ; Female ; Male ; Young Adult ; Saudi Arabia ; Adult ; Surveys and Questionnaires ; Curriculum ; Education, Nursing, Baccalaureate
    • Abstract:
      Background: Implementing digital transformation and artificial intelligence (AI) in education and practice necessitates understanding nursing students' attitudes and behaviors as end-users toward current and future digital and AI applications.
      Purpose: This study aimed to assess the perceived knowledge, attitudes, and skills of nursing students regarding digital transformation, as well as their digital health literacy (DHL) and attitudes toward AI. Furthermore, we investigated the potential correlations among these variables.
      Methods: A descriptive correlational design was employed in a Saudi nursing college utilizing a convenience sample of 266 nursing students. A structured questionnaire consisting of six sections was used, covering personal information, knowledge, skills and attitudes toward digital transformation, digital skills, DHL, and attitudes toward AI. Descriptive statistics and Pearson correlation were employed for data analysis.
      Results: Nursing students exhibited good knowledge of and positive attitudes toward digital transformation services. They possessed strong digital skills, and their DHL and positive attitude toward AI were commendable. Overall, the findings indicated significant positive correlations between knowledge of digital transformation services and all the digital variables measured (p = < 0.05). Senior students reported greater digital knowledge and a positive attitude toward AI.
      Conclusion: The study recommends an innovative undergraduate curriculum that integrates opportunities for hands-on experience with digital healthcare technologies to enhance their digital literacy and skills.
      (© 2024. The Author(s).)
    • References:
      Healthc (Amst). 2017 Sep;5(3):81-85. (PMID: 27720139)
      Health Technol (Berl). 2022;12(6):1109-1115. (PMID: 36117522)
      BMC Public Health. 2022 May 17;22(1):996. (PMID: 35581565)
      Healthcare (Basel). 2024 Jan 05;12(2):. (PMID: 38255014)
      J Prof Nurs. 2021 Mar-Apr;37(2):320-334. (PMID: 33867086)
      Nurse Educ Today. 2022 Jun;113:105378. (PMID: 35504068)
      Healthcare (Basel). 2022 Dec 30;11(1):. (PMID: 36611570)
      J Family Med Prim Care. 2019 Jul;8(7):2328-2331. (PMID: 31463251)
      BMC Nurs. 2023 Nov 17;22(1):434. (PMID: 37978508)
      Nat Med. 2019 Jan;25(1):44-56. (PMID: 30617339)
      Comput Inform Nurs. 2020 Dec 1;39(5):257-264. (PMID: 33259348)
      Nurs Manag (Harrow). 2022 Oct 6;29(5):20-26. (PMID: 35412033)
      Eur J Ageing. 2022 Jan 11;19(3):729-739. (PMID: 35035340)
      Bull World Health Organ. 2020 Apr 1;98(4):231-231A. (PMID: 32284641)
      BMC Nurs. 2022 Sep 30;21(1):267. (PMID: 36180902)
      J Med Internet Res. 2018 Oct 02;20(10):e10175. (PMID: 30279155)
      Digit Health. 2023 Jul 7;9:20552076231185429. (PMID: 37434731)
      Digit Health. 2022 Aug 4;8:20552076221117742. (PMID: 35959196)
      NPJ Digit Med. 2023 Sep 18;6(1):161. (PMID: 37723240)
      Educ Inf Technol (Dordr). 2023 Feb 22;:1-23. (PMID: 36846495)
      J Adv Nurs. 2021 Sep;77(9):3707-3717. (PMID: 34003504)
      SAGE Open Nurs. 2022 Sep 21;8:23779608221127952. (PMID: 36160690)
      Nurs Open. 2022 Mar;9(2):1379-1393. (PMID: 35094493)
      J Nurs Res. 2020 Jun;28(3):e93. (PMID: 31972729)
      BMC Nurs. 2023 Nov 14;22(1):428. (PMID: 37964266)
      Int Nurs Rev. 2023 Sep;70(3):291-296. (PMID: 37000673)
      J Educ Health Promot. 2023 Feb 28;12:45. (PMID: 37113422)
      Digit Health. 2018 May 14;4:2055207618770765. (PMID: 29942630)
      J Health Commun. 2018;23(8):724-734. (PMID: 30160641)
      Aust Health Rev. 2017 Dec;41(6):646-664. (PMID: 28063462)
      Front Med (Lausanne). 2020 Feb 05;7:27. (PMID: 32118012)
      Sensors (Basel). 2023 Jan 19;23(3):. (PMID: 36772190)
      Int J Afr Nurs Sci. 2020;13:100256. (PMID: 33072514)
      PLoS One. 2021 Jun 24;16(6):e0253651. (PMID: 34166444)
      J Adv Nurs. 2018 Jul;74(7):1618-1627. (PMID: 29575085)
    • Contributed Indexing:
      Keywords: Artificial intelligence; Attitude; Digital health literacy; Digital transformation; Knowledge; Perception; Skills; Technology; University nursing students
    • Publication Date:
      Date Created: 20240507 Date Completed: 20240508 Latest Revision: 20240510
    • Publication Date:
      20240510
    • Accession Number:
      PMC11077799
    • Accession Number:
      10.1186/s12909-024-05482-3
    • Accession Number:
      38715005