Author List: Goh, Jie Mein; Gao, Guodong (Gordon); Agarwal, Ritu;
Information Systems Research, 2011, Volume 22, Issue 3, Page 565-585.
Despite the significant potential for performance gains from health IT (HIT), there has been limited study of the mechanisms underlying successful HIT implementations. We conducted an extensive longitudinal field study to gain an understanding of the interplay between technology and patterns of clinical work embodied in routines. We use the analytical device of narrative networks to identify where and how HIT influences patterns of work. We further draw upon adaptive structuration theory to conceptualize HIT as an intervention that alters the flow of events in a narrative network. Our findings suggest that the key to successful implementation is to manage the co-evolution process between routines and HIT and to actively orchestrate a virtuous cycle through agentic action. We propose a dynamic process model of adaptive routinization of HIT that delineates the major channels through which HIT and routines interact, identifies the different stages in the dynamic co-evolution process, and isolates the pivotal role of two forms of agency in enabling the virtuous cycle of co-evolution. This is one of the first studies to offer a processual, microlevel analysis of HIT implementation in a clinical setting.
Keywords: adaptive structuration theory; affordances; health information technology; hospital routines; narrative network; routines; technological change
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List of Topics

#196 0.204 health healthcare medical care patient patients hospital hospitals hit health-care telemedicine systems records clinical practices physician electronic physicians longitudinal outcomes
#35 0.155 technology organizational information organizations organization new work perspective innovation processes used technological understanding technologies transformation consequences perspectives use administrative economic
#163 0.123 critical realism theory case study context affordances activity causal key identifies evolutionary history generative paper events lead mechanisms evolution change
#18 0.115 adaptive theory structuration appropriation structures technology use theoretical ast capture believe consensus technologies offices context based initial advanced exploring findings
#90 0.096 development life cycle prototyping new stages routines stage design experiences traditional time sdlc suggested strategies rapid effort integrated needs techniques
#93 0.091 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#249 0.081 network networks social analysis ties structure p2p exchange externalities individual impact peer-to-peer structural growth centrality participants sharing economic ownership embeddedness
#128 0.078 dynamic time dynamics model change study data process different changes using longitudinal understanding decisions develop temporal reveal associated state identifies