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Title: Using agency analysis to develop a comprehensive understanding of throughput times in the emergency department.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Fernandes, Julia
Müller, Marcus
Kirn, Stefan
Alscher, Mark
Wasser, Christoph
Keywords: Emergency Department
Principal-Agent Theory
Waiting Times
Manchester Triage
Process Inefficiencies
Socio-Technical Perspective
Software-Based Monitoring System
Information Asymmetries
System Evaluation
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: Dec-2013
Publisher: Springer
Citation: Health and Technology. 2013 December; 3(4): pp. 283-294
Abstract: Typically patients in the emergency department experience long waiting times, primarily caused by process inefficiencies (Schellein et al. in Anaesthesist 58(2):163–170, 2009). Furthermore, the emergency departments have a significant impact on the revenue generation for the hospital (Schnellen 2008). Thus the emergency department should be made an important area of focus to design and develop appropriate measures for optimisation. Literature reports different inefficiencies such as “loss” of patients in the radiology (Andersson and Karlberg in Health Policy 55(3):187–207, 2001) or social loafing (Morton and Bevan in Health Policy 85(2):207–217, 2008). The present article adopts a socio-technical perspective and focuses on information asymmetries between the various actors as a key reason for these inefficiencies. In so doing, the paper provides an analysis of the emergency department using principal-agent theory (PAT), suggests a software-based monitoring system in order to reduce information asymmetries and evaluates this system in an empirical investigation.
DOI: 10.1007/s12553-013-0061-8
ISSN: 2190-7188
Journal Title: Health and Technology
Type: Journal Article
Affiliated Organisations: Department of Information Systems 2, University of Hohenheim, Stuttgart, Germany
Department of Internal Medicine and Nephrology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
Type of Clinical Study or Trial: Observational Study
Appears in Collections:Emergency Care
Health Informatics

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