Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1468
Title: Achieving successful EPR implementation with the penta-stage model.
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Bali, Rajeev
Keywords: Electronic Patient Records
Healthcare Management
Information Communication Technology
Healthcare Technology
Organisational Behaviour
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2008
Publisher: Inderscience
Citation: Int. J. of Healthcare Technology and Management, 2008; 9(1): 97-105
Abstract: Electronic patient record (EPR) systems are currently being implemented in a plethora of healthcare organisations on both sides of the Atlantic. These systems, through their ability to integrate several functions and provide seamless access to information, are expected to enable value-driven patient-centric healthcare delivery. At a time when healthcare globally is under tremendous pressure, EPR appears to be the panacea. However, EPR implementation has major organisational and cultural implications that to date have not been addressed and thus play a major role in the less than optimal results currently being experienced post EPR implementation. To address this issue, we discuss the need to incorporate the Penta-Stage model developed by analysing various EPR implementations in healthcare settings in both the UK and the USA.
URI: http://hdl.handle.net/11434/1468
DOI: 10.1504/IJHTM.2008.016850
ISSN: 1368-2156
Journal Title: International Journal of Healthcare Technology and Management
Type: Journal Article
Affiliated Organisations: Knowledge Management for Healthcare (KARMAH) research subgroup, Biomedical Computing and Engineering Technologies Applied Research Group (BIOCORE), Faculty of Engineering and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
Center for the Management of Medical Technology (CMMT), Stuart School of Business, Illinois Institute of Technology, 565 W.Adams Street, Chicago, IL 60661, USA
Appears in Collections:Health Informatics

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