Literature DB >> 33258785

Social network analysis of ICU healthcare professionals measured by wearable sociometric badges.

Eiji Kawamoto1, Asami Ito-Masui1, Ryo Esumi1, Mami Ito2, Noriko Mizutani2, Tomoyo Hayashi2, Hiroshi Imai1, Motomu Shimaoka1.   

Abstract

BACKGROUND: Use of wearable sensor technology for studying human teamwork behavior is expected to generate a better understanding of the inter-professional interactions between healthcare professionals.
OBJECTIVE: We used wearable sociometric sensor badges to study how ICU healthcare professionals interact and are socially connected.
METHODS: We studied the face-to-face interaction data among 76 healthcare professionals in the ICU at Mie University Hospital collected over 4 weeks via wearable sensors.
RESULTS: We detail the spatiotemporal distributions of staff inter- and intra-professional active face-to-face interactions, thereby generating a comprehensive visualization of who met whom, when, where and for how long in the ICU. Social network analysis of these active interactions, concomitant with centrality measurements, revealed that nurses constitute the core members of the network, while doctors remain in the periphery.
CONCLUSIONS: Our social network analysis using the comprehensive ICU interaction data obtained by wearable sensors has revealed the leading roles played by nurses within the professional communication network.

Entities:  

Year:  2020        PMID: 33258785     DOI: 10.2196/23184

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  2 in total

1.  Team Building Through Team Video Games: Randomized Controlled Trial.

Authors:  Mark J Keith; Douglas L Dean; James Gaskin; Greg Anderson
Journal:  JMIR Serious Games       Date:  2021-12-14       Impact factor: 4.143

2.  Universal association between depressive symptoms and social-network structures in the workplace.

Authors:  Jong-Hyeok Lee; Nobuo Sato; Kazuo Yano; Yoshihiro Miyake
Journal:  Sci Rep       Date:  2022-06-17       Impact factor: 4.996

  2 in total

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