Recognizing Communication Patterns in Chronic Care Innovation Networks

11 Pages Posted: 28 Dec 2014 Last revised: 16 Jan 2015

Francesca Grippa

Northeastern University

Shannon M. Provost

University of Texas at Austin - Red McCombs School of Business - Department of Information, Risk, & Operations Management

Peter A. Gloor

Massachusetts Institute of Technology (MIT)

Molly McKean

Cincinnati Children's Hospital Medical Center

Sunny Thakkar

Cincinnati Children's Hospital Medical Center

Date Written: August 15, 2014

Abstract

In this paper we describe a methodology to measure communication behaviors in innovation teams. We collected data over two years by mining email communication archives and applied the methodology to study innovation teams working to re-design the delivery of care for chronically ill children. We used social network analysis and sentiment analysis to calculate network metrics such as group density, group betweenness centrality, actor betweenness centrality, average weighted variance in contribution index, and emotionality ratio. We administered surveys to senior leaders to assess their perception of teams’ performance. We conducted “virtual mirroring” sessions with teams to share preliminary results. This paper explores the associations between performance, network density and average weighted variance in contribution index. Our preliminary findings show that high-performing teams tend to interact in less close-knit networks characterized by lower network density and a more balanced exchange of information among team members.

Keywords: Dynamic Social Network Analysis, Health Care Teams, Team Performance

Suggested Citation

Grippa, Francesca and Provost, Shannon M. and Gloor, Peter A. and McKean, Molly and Thakkar, Sunny, Recognizing Communication Patterns in Chronic Care Innovation Networks (August 15, 2014). Available at SSRN: https://ssrn.com/abstract=2539920 or http://dx.doi.org/10.2139/ssrn.2539920

Francesca Grippa (Contact Author)

Northeastern University ( email )

Boston, MA 02115
United States

Shannon Marie Provost

University of Texas at Austin - Red McCombs School of Business - Department of Information, Risk, & Operations Management ( email )

Austin, TX 78712
United States

Peter A. Gloor

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

Molly McKean

Cincinnati Children's Hospital Medical Center ( email )

3333 Burnet Avenue
Cincinnati, OH 45229
United States

Sunny Thakkar

Cincinnati Children's Hospital Medical Center ( email )

3333 Burnet Avenue
Cincinnati, OH 45229
United States

Paper statistics

Downloads
41
Abstract Views
510