Journal article
Governmental intervention in Hospital Information Exchange (HIE) diffusion: a quasi-experimental ARIMA interrupted time series analysis of monthly HIE patient penetration rates
European journal of information systems, v 28(6), pp 627-645
02 Nov 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study examines changes in the monthly penetration rates of a Health Information Exchange (HIE) in a large Health Maintenance Organisation (HMO) in Israel after its successful adoption, and how those rates changed in anticipation of a government policy to turn this HIE into a national system. Penetration rate is the proportion of patients whose data have been accessed through the HIE. We apply the Bass model to the penetration data and estimate an ARIMA interrupted time series analysis on the resulting dependent variable. In the Bass model, the diffusion of new products or services over time follows an S curve, where the proportion of non-users who take up the new technology is assumed to be a linear function of the proportion who are already users. The results indicate (1) that also HIE penetration shows a Bass model pattern, thus extending previous research that indicated that the adoption rate of an HIE (i.e. its initial installation) shows a Bass model pattern, and (2) that there was a significant one-time increase in penetration in this HMO when hospitals in other HMOs started training towards adopting this HIE in preparation for it becoming the national system. Implications are discussed.
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Details
- Title
- Governmental intervention in Hospital Information Exchange (HIE) diffusion: a quasi-experimental ARIMA interrupted time series analysis of monthly HIE patient penetration rates
- Creators
- David Gefen - Drexel UniversityOfir Ben-Assuli - Ono Academic CollegeMark Stehr - Drexel UniversityBruce Rosen - Myers-JDC-Brookdale InstituteYaron Denekamp - Clalit Health Services
- Publication Details
- European journal of information systems, v 28(6), pp 627-645
- Publisher
- Taylor & Francis
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics); Decision Sciences (and Management Information Systems); Center for Public Policy
- Web of Science ID
- WOS:000488111100001
- Scopus ID
- 2-s2.0-85073949194
- Other Identifier
- 991019168992904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science
- Management