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Professional identity and its relationships with AI readiness and interprofessional collaboration

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  • Wafa’a Ta’an
  • Sadeq Damrah
  • Mohammed M Al-Hammouri
  • Brett Williams

Abstract

Background: In contemporary healthcare practices, the convergence of Artificial Intelligence (AI) and interprofessional collaboration represents a transformative era marked by unprecedented opportunities and challenges. The introduction of AI technologies is assumed to lead to changes in the nature of interprofessional collaboration that require revisiting the already established professional identity; however, research is lacking in the area. Objective: To examine professional identity and its relationships with AI readiness domains and interprofessional collaboration components. Methods: A multisite cross-sectional research design was used to recruit 512 participants from different healthcare professions in Jordan between November 14th, 2023, and February 13th, 2024. The Medical Artificial Intelligence Readiness Scale and the Readiness for Interprofessional Learning Scale were used in data collection. Data analysis included descriptive, correlation, and comparative analyses. Results: Professional identity significantly and positively correlated with artificial intelligence readiness total and subscale scores with ρ ranging from 0.37 to 0.47 (p

Suggested Citation

  • Wafa’a Ta’an & Sadeq Damrah & Mohammed M Al-Hammouri & Brett Williams, 2025. "Professional identity and its relationships with AI readiness and interprofessional collaboration," PLOS ONE, Public Library of Science, vol. 20(5), pages 1-11, May.
    • Handle: RePEc:plo:pone00:0322794
    DOI: 10.1371/journal.pone.0322794
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    1. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
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