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Nursing Robots Can Reduce Nursing Workload in General Adult Wards: A Two-Phase Study
Yulei Song1, Jiaojiao Gao1, Yuqing Chen1
1School of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Nursing robots can perform 26 tasks and potentially reduce nursing workload by over 60% in general adult wards. Further development is needed to align robot capabilities with clinical nursing needs.
Area of Science:
- Robotics in Healthcare
- Nursing Informatics
- Clinical Engineering
Background:
- Global nursing shortages necessitate innovative solutions.
- Nursing robots offer a potential strategy to alleviate workforce pressures.
- Limited empirical data exists on nursing robot capabilities and workload replacement in hospitals.
Purpose of the Study:
- To identify nursing care tasks manageable by current nursing robots in adult wards.
- To quantify the potential reduction in nursing workload achievable with these robots.
Main Methods:
- A two-phase study combining a scoping review of 10 databases and a cross-sectional survey.
- Identification of nursing robots suitable for general adult hospital wards.
- Measurement of 24-hour nursing workload across 72 wards in six Chinese hospitals.
Main Results:
- 199 studies were reviewed, identifying 26 nursing functions performable by robots.
- Data from 7073 patients indicated 26 nursing robots could substitute for 62.37% of per capita nursing workload.
- Robotic capabilities vary, with some requiring adaptation to clinical demands.
Conclusions:
- Nursing robots show significant promise for general adult wards.
- Strategic development and integration are crucial for maximizing robotic assistance.
- Nursing management requires adaptation, including training and defining new competencies for specialized roles.
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