TY  - JOUR
AU  - Kawamoto, Eiji
AU  - Ito-Masui, Asami
AU  - Esumi, Ryo
AU  - Ito, Mami
AU  - Mizutani, Noriko
AU  - Hayashi, Tomoyo
AU  - Imai, Hiroshi
AU  - Shimaoka, Motomu
PY  - 2020
DA  - 2020/12/31
TI  - Social Network Analysis of Intensive Care Unit Health Care Professionals Measured by Wearable Sociometric Badges: Longitudinal Observational Study
JO  - J Med Internet Res
SP  - e23184
VL  - 22
IS  - 12
KW  - wearable
KW  - interprofessional communication
KW  - clinician interaction
KW  - social network analysis
AB  - Background: Use of wearable sensor technology for studying human teamwork behavior is expected to generate a better understanding of the interprofessional interactions between health care professionals. Objective: We used wearable sociometric sensor badges to study how intensive care unit (ICU) health care professionals interact and are socially connected. Methods: We studied the face-to-face interaction data of 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 members’ inter- and intraprofessional 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. 
SN  - 1438-8871
UR  - http://www.jmir.org/2020/12/e23184/
UR  - https://doi.org/10.2196/23184
UR  - http://www.ncbi.nlm.nih.gov/pubmed/33258785
DO  - 10.2196/23184
ID  - info:doi/10.2196/23184
ER  -