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An automated content-based measure of closed loop communication among critical care air transport teams.

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Title: An automated content-based measure of closed loop communication among critical care air transport teams.
Authors: Robinson, F. Eric (AUTHOR), Grimm, David (AUTHOR), Horning, Dain (AUTHOR), Gorman, Jamie C. (AUTHOR), Winner, Jennifer (AUTHOR), Wiese, Christopher W. (AUTHOR)
Source: Military Psychology. 2025, Vol. 37 Issue 2, p168-174. 7p.
Subjects: Teams in the workplace, Communicative competence, Interprofessional relations, Research funding, Natural language processing, National competency-based educational tests, Critical care medicine, Airplane ambulances, Job performance
Abstract: Successful teamwork is essential to ensure critical care air transport (CCAT) patients receive effective care. Despite the importance of team performance, current training methods rely on subjective performance assessments and do not evaluate performance at the team level. Researchers have developed the Team Dynamics Measurement System (TDMS) to provide real-time, objective measures of team coordination to assist trainers in providing CCAT aircrew with feedback to improve performance. The first iteration of TDMS relied exclusively on communication flow patterns (i.e., who was speaking and when) to identify instances of various communication types such as closed loop communication (CLC). The research presented in this paper significantly advances the TDMS project by incorporating natural language processing (NLP) to identify CLC. The addition of NLP to the existing TDMS resulted in greater accuracy and fewer false alarms in identifying instances of CLC compared to the previous flow-based implementation. We discuss ways in which these improvements will facilitate instructor feedback and support further refinement of the TDMS. [ABSTRACT FROM AUTHOR]
Copyright of Military Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: An automated content-based measure of closed loop communication among critical care air transport teams.
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  Data: <searchLink fieldCode="AR" term="%22Robinson%2C+F%2E+Eric%22">Robinson, F. Eric</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grimm%2C+David%22">Grimm, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Horning%2C+Dain%22">Horning, Dain</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gorman%2C+Jamie+C%2E%22">Gorman, Jamie C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Winner%2C+Jennifer%22">Winner, Jennifer</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wiese%2C+Christopher+W%2E%22">Wiese, Christopher W.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Military+Psychology%22">Military Psychology</searchLink>. 2025, Vol. 37 Issue 2, p168-174. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Teams+in+the+workplace%22">Teams in the workplace</searchLink><br /><searchLink fieldCode="DE" term="%22Communicative+competence%22">Communicative competence</searchLink><br /><searchLink fieldCode="DE" term="%22Interprofessional+relations%22">Interprofessional relations</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22National+competency-based+educational+tests%22">National competency-based educational tests</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+care+medicine%22">Critical care medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Airplane+ambulances%22">Airplane ambulances</searchLink><br /><searchLink fieldCode="DE" term="%22Job+performance%22">Job performance</searchLink>
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  Data: Successful teamwork is essential to ensure critical care air transport (CCAT) patients receive effective care. Despite the importance of team performance, current training methods rely on subjective performance assessments and do not evaluate performance at the team level. Researchers have developed the Team Dynamics Measurement System (TDMS) to provide real-time, objective measures of team coordination to assist trainers in providing CCAT aircrew with feedback to improve performance. The first iteration of TDMS relied exclusively on communication flow patterns (i.e., who was speaking and when) to identify instances of various communication types such as closed loop communication (CLC). The research presented in this paper significantly advances the TDMS project by incorporating natural language processing (NLP) to identify CLC. The addition of NLP to the existing TDMS resulted in greater accuracy and fewer false alarms in identifying instances of CLC compared to the previous flow-based implementation. We discuss ways in which these improvements will facilitate instructor feedback and support further refinement of the TDMS. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Military Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=183195893
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        Value: 10.1080/08995605.2024.2322901
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        Text: English
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      – SubjectFull: Job performance
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              Text: 2025
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