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Social networks and expertise development for Australian breast radiologists

Overview of attention for article published in BMC Health Services Research, February 2017
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Title
Social networks and expertise development for Australian breast radiologists
Published in
BMC Health Services Research, February 2017
DOI 10.1186/s12913-016-1938-9
Pubmed ID
Authors

Seyedamir Tavakoli Taba, Liaquat Hossain, Karen Willis, Sarah Lewis

Abstract

In this study, we explore the nexus between social networks and expertise development of Australian breast radiologists. Background literature has shown that a lack of appropriate social networks and interaction among certain professional group(s) may be an obstacle for knowledge acquisition, information flow and expertise sharing. To date there have not been any systematic studies investigating how social networks and expertise development are interconnected and whether this leads to improved performance for breast radiologists. This study explores the value of social networks in building expertise alongside with other constructs of performance for the Australian radiology workforce using semi-structured in-depth interviews with 17 breast radiologists. The findings from this study emphasise the influences of knowledge transfer and learning through social networks and interactions as well as knowledge acquisition and development through experience and feedback. The results also show that accessibility to learning resources and a variety of timely feedback on performance through the information and communication technologies (ICT) is likely to facilitate improved performance and build social support. We argue that radiologists' and, in particular, breast radiologists' work performance, needs to be explored not only through individual numerical characteristics but also by analysing the social context and peer support networks in which they operate and we identify multidisciplinary care as a core entity of social learning.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 7 14%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Doctoral Student 4 8%
Other 8 16%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 13 26%
Social Sciences 10 20%
Nursing and Health Professions 3 6%
Business, Management and Accounting 2 4%
Arts and Humanities 2 4%
Other 6 12%
Unknown 14 28%