Applying Adaptive Structuration Theory to Health Information Systems Adoption: A Case Study

Applying Adaptive Structuration Theory to Health Information Systems Adoption: A Case Study

Dana Schwieger (Southeast Missouri State University, USA), Arlyn Melcher (Southern Illinois University, USA), C. Ranganathan (University of Illinois at Chicago, USA) and H. Joseph Wen (Southeast Missouri State University, USA)
Copyright: © 2006 |Pages: 15
DOI: 10.4018/jhisi.2006010106
OnDemand PDF Download:
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Adaptive Structuration Theory (AST) is rapidly becoming an important theoretical paradigm for comprehending the impact of advanced information technologies. In this paper, a modified AST model was designed to illustrate the changing inter-relationships among the variables affecting the adoption and application of a new technology into a medical organization setting. Using findings from a case study conducted over a 10-month period, the authors apply the case to the model to illustrate the complex interactions between medical billing technology and organizational processes. As the organization attempted to install and implement the new system, they found that in order to maintain daily operations, they would have to modify and adapt several aspects of the organization, technology, and operations. As the system was slowly integrated into operations and the organization’s needs evolved through the adaptation process, the study, in turn, found that different iterations of the model could emphasize different structures. The case illustrated that the capacity to manage health information systems (HIS) often requires the organization to prioritize its needs and focus its energies on a critical structure while temporarily disregarding others until the primary healthcare processes are under control.

Complete Article List

Search this Journal:
Reset
Volume 17: 4 Issues (2022): Forthcoming, Available for Pre-Order
Volume 16: 4 Issues (2021): 3 Released, 1 Forthcoming
Volume 15: 4 Issues (2020): 3 Released, 1 Forthcoming
Volume 14: 4 Issues (2019)
Volume 13: 4 Issues (2018)
Volume 12: 4 Issues (2017)
Volume 11: 4 Issues (2016)
Volume 10: 4 Issues (2015)
Volume 9: 4 Issues (2014)
Volume 8: 4 Issues (2013)
Volume 7: 4 Issues (2012)
Volume 6: 4 Issues (2011)
Volume 5: 4 Issues (2010)
Volume 4: 4 Issues (2009)
Volume 3: 4 Issues (2008)
Volume 2: 4 Issues (2007)
Volume 1: 4 Issues (2006)
View Complete Journal Contents Listing