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Evolving with technology: Machine learning as an opportunity for operating room nurses to improve surgical care-A commentary. | LitMetric

AI Article Synopsis

  • The article discusses the integration of machine learning in operating rooms, emphasizing its potential to enhance patient safety and streamline surgical processes.
  • It highlights the crucial role of operating room nurses, who are often excluded from the development of machine learning algorithms, risking the usability of these technologies for the entire surgical team.
  • The conclusion advocates for involving nurses in the co-creation of machine learning tools to ensure they effectively meet the needs of surgical practice and improve patient outcomes.

Article Abstract

Aims: To describe machine learning applications in an operating room setting, raise awareness of the lack of nursing inclusion on machine learning algorithm development, and show how operating room nurses can co-create this new technology.

Background: Operating room nurses and managers perform anticipatory work on a daily basis to manage intrinsic and extrinsic factors that can cause surgical delays.

Evaluation: Recent literature on machine learning and its potential use in operating room settings was reviewed along with literature on the role of the nurse in co-creating novel technology.

Key Issue: Machine learning technology is rapidly evolving and being created for the operating room environment to improve patient safety and flow. Operating room nurses and managers are not being included in the development of machine learning algorithms, meaning products may be created that are not usable for all members of the surgical team.

Conclusion: This commentary highlights the ways machine learning effectively assists nurses and nursing managers, suggesting a pathway forward for surgical nursing as co-creators and implementers.

Implication For Nursing Management: Nursing managers will be exposed to machine learning programmes in the near future and need to understand the benefits they have for patient safety and patient flow.

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Source
http://dx.doi.org/10.1111/jonm.13736DOI Listing

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