Evidence map›Paper›PMID 40010826›Full record

ArticleBMJ open2025

Prioritisation of functional needs for ICU intelligent robots in China: a consensus study based on the national survey and nominal group technique.

Zhen Cui, Yufeng Yan, Hao Wang, Ying Bai, Liu Zhang, Miaomiao Yu, Fan Zhang, Xin Yuan, Shuya Wang, Bo Ouyang and 1 more

Abstract readConsensus Statement
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhen CuiDepartment of Critical Care Medicine, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Yufeng YanSchool of Management, Hefei University of Technology, Hefei, Anhui, China.ORCID http://orcid.org/0009-0002-5385-0749
Hao WangDepartment of Critical Care Medicine, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Ying BaiDepartment of Critical Care Medicine, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Liu ZhangDepartment of Critical Care Medicine, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Miaomiao YuDepartment of Critical Care Medicine, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Fan ZhangDepartment of Critical Care Medicine, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Xin YuanSchool of Management, Hefei University of Technology, Hefei, Anhui, China.
Shuya WangDepartment of Critical Care Medicine, Beijing Tiantan Hospital, Beijing, China.
Bo Ouyang *School of Management, Hefei University of Technology, Hefei, Anhui, China.
Xinbao Wu *Department of Orthopaedic Trauma, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China wuxinbao_jst@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Critical CareIntensive Care UnitsRoboticsAutonomous RobotsChinaDelphi TechniqueHumansMaleSurveys and QuestionnairesArtificial IntelligenceIntensive Care UnitsINTENSIVE & CRITICAL CARE

Identifiers

PMID40010826
PMCPMC11865741

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.