Author Credentials

Nick Nijkamp, MClinNg, GCTE, BN (Dst.), RN, AFHEA, MACORN. PhD Candidate, Central Queensland University.

Erin Wakefield, MN, Grad Cert Clinical Simulation, Grad Cert Perioperative Nursing, RN, MACORN. PhD Candidate, Monash University.


Artificial Intelligence (AI) stands poised at the forefront of health care innovation, promising transformative advances across multiple domains. In the field of perioperative nursing, where precision, efficiency and patient safety are paramount, the integration of AI holds immense potential to revolutionise clinical practice.

Defined as the imitation of human acumen, AI enables computers to perform tasks ‘that typically require human intelligence, such as decision-making, problem-solving and learning’. This editorial explores the current landscape of AI, future prospects for AI in perioperative nursing and the ethical imperatives that accompany this transformative paradigm shift.

As technology continues to evolve rapidly, perioperative nursing stands to benefit from AI-driven solutions that enhance diagnostic accuracy, optimise patient outcomes and streamline workflows. The possibilities for innovation are vast, from AI-assisted decisionmaking algorithms to predictive analytics and virtual reality training simulations. However, alongside these opportunities lie challenges that demand careful consideration, including privacy concerns, algorithm biases and the ethical implications of augmenting human expertise with AI.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.