1887
Volume 2024, Issue 1
  • EISSN: 2220-2749

Abstract

Artificial Intelligence (AI) is set to significantly transform the role of radiology nurses by enhancing their responsibilities and patient care. AI will streamline workflow and decision-making, allowing nurses to focus more on patient care by providing quick access to complex diagnostic information. This shift reduces the focus on administrative tasks, leading to more efficient patient responses. AI tools will also improve the precision of procedures like image-guided biopsies, reducing discomfort and improving outcomes. Nurses will need to develop new technical skills to operate these AI-assisted tools effectively. This letter explores the evolving role of radiology nursing role in the era of AI.

Dear Editor,

The field of radiology is experiencing rapid growth due to advancements in technology and imaging. Minimally invasive percutaneous approaches, assisted by radiologic techniques, are enhancing outcomes while simultaneously decreasing patient discomfort, recovery periods, and hospitalization durations [1]. Image-guided biopsies have become the preferred alternative to costly surgical interventions like exploratory laparotomies, and procedures such as radiofrequency ablations offer a viable treatment choice for individuals with liver cancer who are not eligible for surgery [2].

Radiology or clinical imaging nursing, allows nurses to apply a range of skills in providing care to both adult and pediatric patients. This letter explores the evolving role of radiology nursing role in the era of artificial intelligence (AI).

Radiology nurses require extensive knowledge and independence to meet diverse patient needs. Their duties include managing intravenous lines, medication administration, vital sign monitoring, and providing personal care. They communicate patient needs to other medical staff, administer sedation, and monitor patients with advanced equipment. Additionally, they educate patients, families, and healthcare staff, contribute to quality improvement, and develop patient care policies. Their role is crucial in both emergency and routine care settings [2]. Incorporating skills from various nursing specialties, radiology nurses strive to deliver high-quality nursing care to a diverse and transient patient population of all ages. They serve as advocates for patient care and act as educators for other radiology staff members on pertinent patient care issues [2].

Many radiology nurses transition from backgrounds in intensive care units (ICU), emergency departments (ED), or post-anesthesia care units (PACU). Despite being seasoned experts in their previous specialties, adapting to the radiology environment poses a significant learning curve due to factors such as the variety of imaging modalities, the multitude of procedures, the mix of skills within the department, the level of autonomy, and the absence of routine. However, once acclimated, nurses often find the specialty rewarding and are less inclined to leave [2].

The Clinical Imaging setting operates at a high speed, with Clinical Imaging nursing experiencing swift expansion. Clinical Imaging nurses play a vital role in delivering outstanding patient care. This distinct field provides autonomy and chances to cater to diverse patient needs through the utilization of advancing technologies [3].

The AI is set to significantly transform the role of nurses and radiology nurses in particular by enhancing their responsibilities and patient care [4]. AI will streamline workflow and decision-making, allowing nurses to focus more on patient care by providing quick access to complex diagnostic information [5]. This shift reduces the focus on administrative tasks, leading to more efficient patient responses. AI tools will also improve the precision of procedures like image-guided biopsies, reducing discomfort and improving outcomes. Nurses will need to develop new technical skills to operate these AI-assisted tools effectively.

Moreover, the educational responsibilities of radiology nurses will increase, necessitating continuous learning and teaching about evolving AI technologies. AI’s assistance in patient monitoring will enable nurses to provide more personalized care, concentrating on crucial aspects like patient comfort and emergency care. AI will also aid in quality improvement, data analytics, and development of effective patient care strategies. Additionally, AI supports the creation of personalized care plans by analyzing extensive patient data. Radiology nurses must keep up to date with AI advancements for their professional development, ensuring their skills remain relevant.

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/content/journals/10.5339/avi.2024.3
2024-03-21
2024-07-20
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References

  1. Lee, D. and S.N. Yoon, Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 2021. 18:(1): p. 271.
  2. Moyo, M., Radiology nursing: A growing specialty. American Nurse Today, 2019. 14:(9): p. 73-75.
  3. Association, A.N., Radiologic and imaging nursing: scope and standards of practice. (No Title), 2013.
  4. Nashwan, A.J. and A.A. Abujaber, Nursing in the Artificial Intelligence (AI) Era: Optimizing Staffing for Tomorrow. Cureus, 2023. 15(10): p. e47275.
  5. Nashwan, A.J. and A.A. Abujaber, Harnessing Large Language Models in Nursing Care Planning: Opportunities, Challenges, and Ethical Considerations. Cureus, 2023. 15(6): p. e40542.
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