The use of robots and other automated devices in nurses' work: An integrative review

Background The twenty first- century marked the exponential growth in the use of intelligent robots and artificial intelligent in nursing compared to the previous decades. To the best of our knowledge, this article is first in responding to question, “Can nurses in clinical practice ascribe responsibility to intelligent robots and artificial intelligence when they commit errors?”. Purpose The objective of this article is to present two worldviews (anthropocentrism and biocentrism) in responding to the question at hand chosen based on the roles of the entities involved in the use of intelligent robots and artificial intelligence in nursing. Methods The development of this article was motivated by the immense discoveries, the current landscape, and nurses’ role in relation to advanced technologies in healthcare. The paper begins the discussion by situating the use of intelligent robots and artificial intelligence in nursing and healthcare and presenting its ethical and moral implications. Then, we presented the two worldviews: anthropocentrism and biocentrism which are used to respond to the task at hand. Results Anthropocentrism puts humans in the center in terms of moral standing and thus responsibility rests on them alone. Biocentrism declares that all creations deserve moral consideration and thus responsibility is equally allocated to all entities. Within these two worldviews, consensus development was offered to resolve these issues. Consensus provides clarity and democracy between and among the societies. Conclusions The findings of this article can be basis in (1) instituting mechanisms of robust peer review and a rigorous series of simulation before adopting or implementing intelligent robots and artificial intelligence in clinical practice; (2) education and training of highly specialized nurse practitioners who can be focal persons in responding to ethical and moral issues with regard to these advanced technologies; and (3) harmonization of robotics research, manufacturing, and clinical practice.

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“…Robotics has the potential to exceedingly prompt nursing and patient care outcomes through the improvement of nurses' work. 22…”

Section: Intelligent Robots and Artificial Intelligence In Nursingmentioning

confidence: 99%

Can nurses in clinical practice ascribe responsibility to intelligent robots?

2022

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“…However, these efforts have reached the limits of the organization and the availability of resources. Therefore, more research is being carried out into the possibilities of automation, digitalization and the use of robotic and artificial intelligences and the first applications are being implemented [11]. To improve the security and quality of in-patient care, it is important to improve the division of labor and fragmented primary and patient-related services as well as the supportive and service-oriented secondary services (e.g.…”

Section: Relief From Non-nursing Tasksmentioning

confidence: 99%

The requirements and applications of autonomous mobile robotics (AMR) in hospitals from the perspective of nursing officers

Kriegel

Rissbacher

Reckwitz

et al. 2021

International Journal of Healthcare Management

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“…55 About 60 percent of the country's nursing facilities now use robots. 56 To date, the different types of care robots used in elder care have mainly provided assistance with daily tasks, monitoring of behaviors and health, and companionship. 56 But their hardware platform is robust for incorporation of stroke detection technologies, incorporating visual, audio, and somatosensory modalities.…”

Section: Home Health Robotsmentioning

confidence: 99%

Automatic Acute Stroke Symptom Detection and Emergency Medical Systems Alerting by Mobile Health Technologies: A Review

Bat-Erdene¹,

Saver²

2021

Journal of Stroke and Cerebrovascular Diseases

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Objectives: To survey recent advances in acute stroke symptom automatic detection and Emergency Medical Systems (EMS) alerting by mobile health technologies. Materials and methods: Narrative review Results: Delayed activation of EMS for stroke symptoms by patients and witnesses deprives patients of rapid access to brain-saving therapies and occurs due to public unawareness of stroke features, cognitive and motor deficits produced by the stroke itself, and sleep onset. A promising emerging approach to overcoming the inherent biologic constraints of patient capacity to self-detect and respond to stroke symptoms is continuous monitoring by mobile health technologies with wireless sensors and artificial intelligence recognition systems. This review surveys 11 sensing technologies -accelerometers, gyroscopes, magnetometers, pressure sensors, touch screen and keyboard input detectors, artificial vision, and artificial hearing; and 10 consumer device form factors in which they are increasingly implemented: smartphones, smart speakers, smart watches and fitness bands, smart speakers/voice assistants, home health robots, smart clothing, smart beds, closed circuit television, smart rings, and desktop/laptop/tablet computers. Conclusions: The increase in computing power, wearable sensors, and mobile connectivity have ushered in an array of mobile health technologies that can transform stroke detection and EMS activation. By continuously monitoring a diverse range of biometric parameters, commercially available devices provide the technologic capability to detect cardinal language, motor, gait, and sensory signs of stroke onset. Intensified translational research to convert the promise of these technologies to validated, accurate real-world deployments are an important next priority for stroke investigation.

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The use of robots and other automated devices in nurses' work: An integrative review

Cited by 35 publications

References 43 publications

Can nurses in clinical practice ascribe responsibility to intelligent robots?

Can nurses in clinical practice ascribe responsibility to intelligent robots?

The requirements and applications of autonomous mobile robotics (AMR) in hospitals from the perspective of nursing officers

Automatic Acute Stroke Symptom Detection and Emergency Medical Systems Alerting by Mobile Health Technologies: A Review

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