Implementing new technologies for complex care: The role of embeddedness factors in team learning

Abstract

Bearing the rising health care costs of our aging global population is one of the most urgent challenges society is facing. We study the implementation of new medical technologies as one way to increase the effectiveness of care, particularly in the area of aortic disease—a condition that affects an increasing number of patients globally. Our research focus is the implementation of complex endovascular treatment techniques by a multidisciplinary aortic treatment group, in addition to their traditional open treatment of aortic disease. We find that relational and cognitive embeddedness factors support team learning, which in turn enables the team to achieve its self‐set goals of treating more patients; offering more tailor‐made care; and providing endovascular treatment in emergency situations. At the end of our data collection period, the first steps toward the team's ultimate goal of offering patient‐centered care were also taken.

Enhancing the Innovation Performance of Small and Medium-Sized Enterprises Through Network Embeddedness

“…The study reveals that SME innovation performance increases when the enterprises are embedded in a network in which members respect each other and act upon common goals. This current study resonates with other previous studies such as Lin et al, (2009) as well as Stevens & van Schaik (2020), who also found a significant relationship between cognitive embeddedness and performance related outcomes. When networks are not strictly or solely governed by regulations, but also by behavioral norms and values, members tend to obtain much assistance from their partners for their innovation activities.…”

“…Cognitive embeddedness refers to the extent to which members in a network are able to interpret and understand behaviors in a similar manner (Stevens & van Schaik, 2020). This is possible when members share a common vision, goals and norms.…”

“…In other words, relational embeddedness focuses on trust among members, while structural embeddedness focuses on network ties (Lin et al, 2009). Cognitive embeddedness also represents the shared norms, goals, collective recognition and experience among network members (Stevens & van Schaik, 2020).…”

Editorial: Delivering effective healthcare at lower cost: Introduction to the special issue

“…Two papers (Ding, Peng, Heim, &Jordan, 2020 andMishra, Salzarulo, &Modi, 2020) examine how strategic approaches taken by hospitals, possibly in response to national health-system policies, affect the delivery of healthcare in those hospitals. In addition, two papers (Mukherjee & Sinha, 2020;Stevens & van Schaik, 2020) use the lens of new-technology implementation to examine how technology affects care delivery. Two papers (Dreyfus, Nair, & Rosales, 2020;Mukherjee & Sinha, 2020) examine perioperative services.…”

“…Two papers examine operations at the level of the entire hospital (Johnson, Burgess, & Sethi, 2020;Tucker, Zheng, Gardner, & Bohn, 2020). In addition, two papers (Mukherjee & Sinha, 2020;Stevens & van Schaik, 2020) use the lens of new-technology implementation to examine how technology affects care delivery. Tables 1 and 2 also reveal the variety of methods employed.…”