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Current Trends in Nursing II01:30

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

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The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
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Clinicians' Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative

Jiafeng Song1,2,3, Rishika Iytha Sridhar2, Darlene Marie Rogers4

  • 1Department of Biomedical Engineering, Duke University, Durham, NC, United States.

Journal of Medical Internet Research
|March 28, 2025
PubMed
Summary

Intensive care unit (ICU) clinicians see potential for robots to handle routine tasks, improving efficiency and reducing workload. However, complex decision-making and patient interaction should remain human-led.

Keywords:
critical carehealth care technologyintensive care unitsqualitative studyrobotics

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Area of Science:

  • Medical Robotics
  • Intensive Care Unit Technology
  • Clinical Workflow Optimization

Background:

  • Growing interest in integrating robotics into intensive care units (ICUs) driven by technological advances and workforce challenges.
  • Robotic integration in ICUs offers potential to improve patient care and operational efficiency amidst high workloads and complex decision-making.
  • The COVID-19 pandemic highlighted the need for innovative solutions in critical care settings.

Purpose of the Study:

  • To explore intensive care unit (ICU) clinicians' perceptions of robotic technology.
  • To identify specific tasks within the ICU that could benefit from robotic assistance.
  • To assess clinician acceptance, perceived challenges, and potential applications of robots in 5 Southeastern US hospitals.

Main Methods:

  • Qualitative study involving semistructured interviews and questionnaires with 15 ICU clinicians (nurses, physicians, advanced practice providers).
  • Directed content analysis to interpret participant statements on robotic integration.
  • Statistical tests to examine role-based differences in perceptions of robotic technology.

Main Results:

  • 78 tasks identified for robotic assistance: 64% direct patient care, 24% indirect care, 8% administrative, 4% mixed.
  • Clinicians supported automating routine, noncritical tasks to alleviate workload and enhance efficiency.
  • High-complexity tasks requiring nuanced judgment were deemed unsuitable for full automation; no significant role-based differences in perception were found (P=.22).

Conclusions:

  • Robotic systems present an opportunity to perform noncomplex tasks in ICUs, improving efficiency and reducing staff burden.
  • Clinicians perceive robots as supportive tools, not replacements for human expertise, but have concerns about privacy, safety, and the human touch.
  • Future research should include diverse samples, investigate long-term impacts on patient outcomes, and incorporate patient perspectives for ethical adoption.