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This study aims to investigate the dynamics of knowledge sharing in health care, exploring some of the factors that are more likely to influence the evolution of idea sharing and advice seeking in health care.

The authors engaged 50 pediatricians representing many subspecialties at a mid-size US children’s hospital using a social network survey to map and measure advice seeking and idea sharing networks. Through the application of Stochastic Actor-Oriented Models, the authors compared the structure of the two networks prior to a leadership program and eight weeks post conclusion.

The models indicate that health-care professionals carefully and intentionally choose with whom they share ideas and from whom to seek advice. The process is fluid, non-hierarchical and open to changing partners. Significant transitivity effects indicate that the processes of knowledge sharing can be supported by mediation and brokerage.

Hospital administrators can use this method to assess knowledge-sharing dynamics, design and evaluate professional development initiatives and promote new organizational structures that break down communication silos. This work contributes to the literature on knowledge sharing in health care by adopting a social network approach, going beyond the dyadic level and assessing the indirect influence of peers’ relationships on individual networks.

The purpose of this paper is to explore possible factors impacting team performance in healthcare, by focusing on information exchange within and across hospital’s boundaries.

Through a web-survey and group interviews, the authors collected data on the communication networks of 31 members of four interdisciplinary healthcare teams involved in a system redesign initiative within a large US children’s hospital. The authors mapped their internal and external social networks based on management advice, technical support and knowledge dissemination within and across departments, studying interaction patterns that involved more than 700 actors. The authors then compared team performance and social network metrics such as degree, closeness and betweenness centrality, and computed cross ties and constraint levels for each team.

The results indicate that highly effective teams were more inwardly focused and less connected to outside members. Moreover, highly recognized teams communicated frequently but, overall, less intensely than the others.

Mapping knowledge flows and balancing internal focus and outward connectivity of interdisciplinary teams may help healthcare decision makers in their attempt to achieve high value for patients, families and employees.