Nurses' perspectives on barriers to artificial intelligence integration in clinical practice: a qualitative...

Area of Science:

• Healthcare Technology
• Nursing Informatics
• Artificial Intelligence in Medicine

Background:

• Artificial Intelligence (AI) offers transformative potential in healthcare, improving diagnostics and patient care.
• Significant barriers hinder AI integration into clinical practice, especially within the nursing profession.
• Understanding nurses' perspectives is vital for identifying obstacles to AI adoption in acute care settings.

Purpose of the Study:

• To explore nurses' perceptions of barriers to integrating AI technologies into clinical practice.
• To identify key challenges faced by nurses in adopting AI in healthcare settings.

Main Methods:

• Qualitative phenomenological approach capturing nurses' lived experiences.
• Semi-structured interviews and focus group discussions with 20 nurses across 20 healthcare institutions in Dhaka, Bangladesh.
• Analysis using van Manen's reflective methodology, informed by the Technology Acceptance Model.

Main Results:

• Identified three major themes: knowledge/awareness gaps, organizational barriers, and ethical/interpersonal concerns.
• Nurses reported a lack of AI education, insufficient institutional support, and worries about privacy and care dehumanization.
• Misconceptions about AI and exclusion from decision-making processes fueled skepticism and resistance.

Conclusions:

• Highlights the necessity for AI-focused nursing education and comprehensive training programs.
• Emphasizes the need to address organizational and ethical barriers, including resource allocation, privacy, and inclusive policies.
• Advocates for empowering nurses and fostering collaboration to ensure effective AI implementation while maintaining human-centered care.