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AI in the Clinical Setting: Understanding Nurses’ Skepticism and Finding the Way Forward
- AI adoption is becoming increasingly prevalent in clinical settings and is here to stay.
- Many clinicians, including nurses, are wary of using AI platforms specifically designed to improve the clinician experience.
- Nurses protest the health system’s use of ‘untested’ AI tools and request to be a part of AI development process.
- The fear that AI will be used in place of nurses and lead to shifts in staffing numbers is causing apprehension in the profession.
- Automated solutions may lead to resistance from nurses who are worried about job security amidst pervasive workforce deficits.
- AI-generated errors in healthcare are unpredictable and tend to have a higher margin of error, making them difficult to rectify quickly, potentially leading to patient harm.
- Nurses feel personally responsible for maintaining patient confidentiality, and any lapses due to technological vulnerabilities are completely unacceptable.
- AI can tackle mundane, routine duties that hold clinicians back, providing them with increased bandwidth centered around direct patient care.
- VR training has been proven to enhance learners’ surgical performance by 230%.
- Given these hesitations both AI-enabled practices in healthcare and nursing must take a cautious approach collaborating with nurses to increase user accessibility and make a positive impact on nurse sentiment towards AI.
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