TY - GEN
T1 - 'Just what the doctor ordered'
T2 - 44th Hawaii International Conference on System Sciences, HICSS-44 2010
AU - Venkatesh, Viswanath
AU - Sykes, Tracy A.
AU - Zhang, Xiaojun
PY - 2011
Y1 - 2011
N2 - Electronic medical record (EMR) systems can deliver many benefits to healthcare organizations and the patients they serve. However, one of the biggest stumbling blocks in garnering these benefits is the limited adoption and use by doctors. We employ the unified theory of acceptance and use of technology (UTAUT) as the theoretical foundation and adapt the theory to the context of EMR system adoption and use by doctors. Specifically, we suggest that age will be the only significant moderator, and gender, voluntariness and experience will not play significant moderating roles. We tested our model in a longitudinal study over a 7-month period in a hospital implementing a new EMR system. We collected 3 waves of survey data from 141 doctors and used system logs to measure use. While the original UTAUT only predicted about 20% of the variance in intention, the modified UTAUT predicted 44%. Both models were comparable in their prediction of use. In addition to contributing to healthcare IT and UTAUT research, we hope this work will serve as a foundation for future work that integrates UTAUT with other theoretical perspectives.
AB - Electronic medical record (EMR) systems can deliver many benefits to healthcare organizations and the patients they serve. However, one of the biggest stumbling blocks in garnering these benefits is the limited adoption and use by doctors. We employ the unified theory of acceptance and use of technology (UTAUT) as the theoretical foundation and adapt the theory to the context of EMR system adoption and use by doctors. Specifically, we suggest that age will be the only significant moderator, and gender, voluntariness and experience will not play significant moderating roles. We tested our model in a longitudinal study over a 7-month period in a hospital implementing a new EMR system. We collected 3 waves of survey data from 141 doctors and used system logs to measure use. While the original UTAUT only predicted about 20% of the variance in intention, the modified UTAUT predicted 44%. Both models were comparable in their prediction of use. In addition to contributing to healthcare IT and UTAUT research, we hope this work will serve as a foundation for future work that integrates UTAUT with other theoretical perspectives.
UR - http://www.scopus.com/inward/record.url?scp=79952965502&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2011.1
DO - 10.1109/HICSS.2011.1
M3 - Conference contribution
SN - 9780769542829
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
Y2 - 4 January 2011 through 7 January 2011
ER -