ArticleBMJ open2025
Prioritisation of functional needs for ICU intelligent robots in China: a consensus study based on the national survey and nominal group technique.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis.Journal of medical Internet research · 2025Article
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Authors and funding
11 authors.
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Abstract
objectiveThis study aims to define the prioritisation of the needs for an intelligent robot's functions in the intensive care unit (ICU) from a clinical perspective.
designThis study introduces a nominal group technique.
settingThis study uses national setting.
participantsThis study includes a total of 851 respondents from 34 provinces in China who participated in the survey. A nominal group of 12 members was organised by the research group; there were seven experts with a background in critical care, two junior attending physicians with a background in critical care and three experienced nurses.
resultsA total of 50 needed intelligent robot functions in ICUs were obtained from the questionnaire data. Through three rounds of nominal group voting and discussion, a consensus was reached on 44 items, which were categorised into 29 high-priority needs, 13 medium-priority needs and two low-priority needs. The functionalities in areas such as 'sleep and pain assessment,' 'monitoring of sedation, agitation, and delirium,' and 'robot-assisted rehabilitation and physical therapy' were particularly favoured by the ICU medical and nursing staff.
conclusionsThis study has defined the functional needs and priorities for ICU intelligent robots from the perspective of ICU clinical medical and nursing staff. It has been concluded that 'disease assessment function' and 'rehabilitation and physical therapy' are most needed by clinical doctors and nurses. The results presented in this study could serve as a useful reference for future research and development of medical robots.
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