Measuring Social Network Structure of Clinical Teams Caring for Patients with Complex Conditions

Palazzolo, Margaret; Grippa, Francesca; Booth, Andrea; Rechner, Stacy; Bucuvalas, John C.; Gloor, Peter A.

doi:10.1016/j.sbspro.2011.10.558

Cited by 12 publications

(16 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, in surgery all surgical team members interact with one another. Hence, the density becomes an important metric [23], [25]. In software development resources who work on related modules must interact very closely.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, Nurse manager 1 receives a large number of communications as indicated by her large in-degree. Research has shown that patterns of communication among the operating team members can affect decision making patterns, lead to communication breakdowns and drastically affect patient outcomes [15], [23], [25], [30]. In particular the effect of density, clustering and hierarchy metrics on performance is discussed in [23], [25].…”

Section: A Medical Treatment Processmentioning

confidence: 99%

“…Socio-technical networks play a major role in healthcare. In [23], it is shown that distinct patterns and structures of communications emerge among the various medical teams' leadership based on their hierarchy and density metrics, and they affect the efficiency and effectiveness of team function. In [15] it is shown that, "serious communication breakdowns occur across the continuum of care, typically resulting from a failure in verbal communication between a surgical attending and another caregiver..." A social network analysis of two primary care practices [25] found widely differing decision making patterns as reflected in their respective network density, clustering coefficient, and centralization metrics.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Impact of Socio-Technical Network on Process Performance

Liu¹,

Kumar²

2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

View full text Add to dashboard Cite

There is a growing interest in socio-technical networks that encompass people, process and technology. They capture connections among technical artifacts and human resources. Existing studies have shown that social networks among resources that collaborate to work on a business process instance have an impact on the performance of the instance. Hence, the social network among the resources should be aligned with the technical work structure. Thus, we propose to identify empirically the specific features of social networks (e.g. size, closeness, density, etc.) that have the most significant impact on the performance of a process. Then, we can leverage these significant social network features to optimize dynamic assignment of tasks to resources for better performance. In general, organizations can use this two-part approach to evaluate their resource social networks and shape their resource networks to achieve socio-technical network alignment. We use real data from business processes in the IT incident management domain for this study to demonstrate our proposed methodology.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: A Medical Treatment Processmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Socio-Technical Network on Process Performance

Liu¹,

Kumar²

2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

View full text Add to dashboard Cite

show abstract

“…Network density is the average strength of connections among units in the network or a proportion of ties which are present relatively to those which are possible in a certain setting and is one of the most common indices of the network structure. It permits the assessment of the solidity of the network and the verification of the presence of subgroups (Palazzolo et al, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Network Analysis Approach to Stroke Care and Assistance Provision: An Empirical Study

Szczygieł

2017

Engineering Management in Production and Services

View full text Add to dashboard Cite

To model and analyse stroke care and assistance provision in the Portuguese context from the network perspective. We used the network theory as a theoretical foundation for the study. The model proposed by Frey et al. (2006) was used to elicit and comprehend possible interactions and relations between organisations expected to be involved in the provision of care and assistance to stroke patients in their pathway to rehabilitation. Providers were identified and contacted to evaluate the nature and intensity of relationships. Network analysis was performed with the NodeXL software package. Analysis of 509 entities based on about 260 000 entries indicates that stroke care provision in the evaluated context is best captured in the coalition-collaboration setting, which appears to best demonstrate the character of the network. Information from analysis of the collaboration stage was not sufficient to determine the network dynamics. Application of the network theory to understand interorganisational dynamics of the complex health care context. Empirical validation of the model proposed by Frey et al. (2006) in terms of its operationalisation and the way it actually reflects the practical context. Examination and analysis of interorganisational relationships and its contribution to management of compound health care context involving actors from various sectors.

show abstract

“…In general, we found a lack of empirical evidence on team effectiveness that rely on primary data sources, such as e-mail archives, phone logs, or face-to-face interactions. Our study contributes to the literature using this primary data as we use e-mails exchanged by the team members (Grippa et al, 2011;Palazzolo et al, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Supporting development efforts of clinical care teams

Grippa

Palazzolo

Bucuvalas

et al. 2012

IJODE

Self Cite

View full text Add to dashboard Cite

This paper describes the results of a longitudinal study of team communication structure for two distinct interdisciplinary healthcare teams at a large academic children medical centre in the USA. Our goal was to inform teams of opportunities and strategies that strengthen their communication structure. To this purpose we proposed an operational framework based on four steps: observation, measurement, mirroring and design. We analysed the e-mail archives of two teams to monitor structural changes in e-mail communication over one year. Since the first analyses, both teams were designated as strategic priorities by the institution, underwent off site meetings to define and put into execution a strategic plan, initiated processes to improve care delivery and reviewed the results of the initial social network analysis. We found that for both teams the communication network improved over time showing a higher cohesiveness, an increase in density, network resilience and external connectivity.

show abstract

Measuring Social Network Structure of Clinical Teams Caring for Patients with Complex Conditions

Cited by 12 publications

References 5 publications

Impact of Socio-Technical Network on Process Performance

Impact of Socio-Technical Network on Process Performance

Network Analysis Approach to Stroke Care and Assistance Provision: An Empirical Study

Supporting development efforts of clinical care teams

Contact Info

Product

Resources

About