TY - GEN
T1 - Early adoption of patient portals by U.S. hospitals
AU - Baird, Aaron
AU - Furukawa, Michael F.
AU - Santanam, Raghu
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Customer-facing information systems have received very little research attention, especially in the context of healthcare. As hospitals begin to provide healthcare consumers with online patient portals to view and manage personal health records and diagnostic results, little is known about whether or not the 'dominant paradigm' (Fichman 2004) of diffusion of innovations theory is sufficient for explaining the characteristics of early adopters. We suggest that a more nuanced understanding of early adoption of patient portals is needed because early adopters are not only the largest hospitals with substantial resources and capabilities residing within competitive environments. Specifically, we suggest that patient-portals are impacted by market characteristics and require Electronic Medical Records (EMRs) systems to be adopted first. We develop a non-linear, two-stage, econometric model with sample selection correction that controls for EMR adoption and estimates the impact of diffusion of innovation and market characteristics on the early adoption of patient portals by U.S. hospitals.
AB - Customer-facing information systems have received very little research attention, especially in the context of healthcare. As hospitals begin to provide healthcare consumers with online patient portals to view and manage personal health records and diagnostic results, little is known about whether or not the 'dominant paradigm' (Fichman 2004) of diffusion of innovations theory is sufficient for explaining the characteristics of early adopters. We suggest that a more nuanced understanding of early adoption of patient portals is needed because early adopters are not only the largest hospitals with substantial resources and capabilities residing within competitive environments. Specifically, we suggest that patient-portals are impacted by market characteristics and require Electronic Medical Records (EMRs) systems to be adopted first. We develop a non-linear, two-stage, econometric model with sample selection correction that controls for EMR adoption and estimates the impact of diffusion of innovation and market characteristics on the early adoption of patient portals by U.S. hospitals.
KW - Adoption
KW - Diffusion of innovations
KW - Hospital
KW - Non-linear probit sample-selection model
KW - Patient portal
KW - Two-stage
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M3 - Conference contribution
AN - SCOPUS:84870329368
SN - 9781618390981
T3 - 17th Americas Conference on Information Systems 2011, AMCIS 2011
SP - 650
EP - 659
BT - 17th Americas Conference on Information Systems 2011, AMCIS 2011
T2 - 17th Americas Conference on Information Systems 2011, AMCIS 2011
Y2 - 4 August 2011 through 8 August 2011
ER -