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Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication

Overview of attention for article published in The AMA Journal of Ethic, September 2016
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70 X users
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Title
Teamwork in Health Care: Maximizing Collective Intelligence via Inclusive Collaboration and Open Communication
Published in
The AMA Journal of Ethic, September 2016
DOI 10.1001/journalofethics.2016.18.9.stas2-1609
Pubmed ID
Authors

Anna T Mayo, Anita Williams Woolley

Abstract

Teams offer the potential to achieve more than any person could achieve working alone; yet, particularly in teams that span professional boundaries, it is critical to capitalize on the variety of knowledge, skills, and abilities available. This article reviews research from the field of organizational behavior to shed light on what makes for a collectively intelligent team. In doing so, we highlight the importance of moving beyond simply including smart people on a team to thinking about how those people can effectively coordinate and collaborate. In particular, we review the importance of two communication processes: ensuring that team members with relevant knowledge (1) speak up when one's expertise can be helpful and (2) influence the team's work so that the team does its collective best for the patient.

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The data shown below were collected from the profiles of 70 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 17%
Student > Master 25 16%
Student > Ph. D. Student 11 7%
Student > Doctoral Student 11 7%
Researcher 8 5%
Other 20 12%
Unknown 58 36%
Readers by discipline Count As %
Nursing and Health Professions 30 19%
Medicine and Dentistry 29 18%
Social Sciences 7 4%
Business, Management and Accounting 7 4%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 24 15%
Unknown 60 37%