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Wearable Systems for Unveiling Collective Intelligence in Clinical Settings

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Dec 23
PMID 38139623
Authors
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Abstract

Nowadays, there is an ever-growing interest in assessing the collective intelligence (CI) of a team in a wide range of scenarios, thanks to its potential in enhancing teamwork and group performance. Recently, special attention has been devoted on the clinical setting, where breakdowns in teamwork, leadership, and communication can lead to adverse events, compromising patient safety. So far, researchers have mostly relied on surveys to study human behavior and group dynamics; however, this method is ineffective. In contrast, a promising solution to monitor behavioral and individual features that are reflective of CI is represented by wearable technologies. To date, the field of CI assessment still appears unstructured; therefore, the aim of this narrative review is to provide a detailed overview of the main group and individual parameters that can be monitored to evaluate CI in clinical settings, together with the wearables either already used to assess them or that have the potential to be applied in this scenario. The working principles, advantages, and disadvantages of each device are introduced in order to try to bring order in this field and provide a guide for future CI investigations in medical contexts.

References
1.
Folke M, Cernerud L, Ekstrom M, Hok B . Critical review of non-invasive respiratory monitoring in medical care. Med Biol Eng Comput. 2003; 41(4):377-83. DOI: 10.1007/BF02348078. View

2.
Bour J, Kellett J . Impedance cardiography: a rapid and cost-effective screening tool for cardiac disease. Eur J Intern Med. 2008; 19(6):399-405. DOI: 10.1016/j.ejim.2007.07.007. View

3.
Salathe M, Kazandjieva M, Lee J, Levis P, Feldman M, Jones J . A high-resolution human contact network for infectious disease transmission. Proc Natl Acad Sci U S A. 2010; 107(51):22020-5. PMC: 3009790. DOI: 10.1073/pnas.1009094108. View

4.
Riedl C, Kim Y, Gupta P, Malone T, Woolley A . Quantifying collective intelligence in human groups. Proc Natl Acad Sci U S A. 2021; 118(21). PMC: 8166150. DOI: 10.1073/pnas.2005737118. View

5.
Etemadi M, Inan O, Heller J, Hersek S, Klein L, Roy S . A Wearable Patch to Enable Long-Term Monitoring of Environmental, Activity and Hemodynamics Variables. IEEE Trans Biomed Circuits Syst. 2015; 10(2):280-8. PMC: 4643430. DOI: 10.1109/TBCAS.2015.2405480. View