Communication in the Emergency Department Using Social Network Analysis
Track
:
Patient Safety
Program Code:
SA-06
Date:
Saturday, October 16, 2010
Time:
9:15 AM to 10:15 AM
EST
Location:
Room 22/23
PRESENTER
:
P. Daniel Patterson, PhD, MPH, Assistant Professor, Department of Emergency Medicine, University of Pittsburgh School of Medicine
Dr. Patterson studies patient and provider safety in emergency medicine. He has a PhD in health policy and additional education and training in epidemiology and social network analysis. His previous research includes two studies of safety culture in Emergency Medical Services (EMS), research on provider injuries, studies of EMS teamwork and configuration, and research on patient adverse events. He has been supported by the Society for Academic Emergency Medicine Patient Safety Fellowship. He is a former HRET Patient Safety Fellow and is currently supported by an NIH career development award.
Description
The breakdown of communication is implicated in greater than 65% of medical errors and adverse events in hospitals. Social network analysis (SNA) is an effective tool for assessing communication patterns. We applied SNA techniques to the emergency department (ED) setting and measured communication between key ED personnel. Our preliminary analysis identified patterns of cohesion and concentration of communication between ED personnel. The next step in our analysis is to examine the relationship between communication patterns and select measures of quality and performance. Findings will be integral to the development of team training programs that address communication in the ED.
LEARNER OUTCOMES:
Describe the importance of communication on quality and performance in the emergency department
Recognize the utility of social network analysis (SNA) in assessing communication patterns
Report how SNA findings can be used to improve patient care through teamwork training programs