Use of Electronic Medical Records in Oman and Physician Satisfaction
Journal of Medical Systems
Electronic Medical Records for a Rural Family Practice: A Case Study In Systems Development
Journal of Medical Systems
Research Commentary---The Digital Transformation of Healthcare: Current Status and the Road Ahead
Information Systems Research
Personal Health Records (PHR) and the future of the physician-patient relationship
Proceedings of the 2011 iConference
Physician adoption of a clinical information system
International Journal of Information Systems and Change Management
Understanding Contingencies Associated with the Early Adoption of Customer-Facing Web Portals
Journal of Management Information Systems
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The recent focus on health care quality improvement and cost containment has led some policymakers and practitioners to advocate the adoption of health information technology. One such technology is the Electronic Medical Record (EMR), which is predicted to change and improve health care in the USA. Little is known about factors that influence hospital adoption of this relatively new technology. The purpose of this paper is to determine the national prevalence of EMR adoption in acute care hospitals while examining the organizational and environmental correlates using a Resource Dependence Theoretical Perspective. Significant predictors of hospital EMR use may indicate barriers to use for some hospitals and can be used to guide policy. This study uses a non-experimental cross sectional design to examine hospital EMR use in 2004. A logistic regression approach is used to determine the correlations between hospital EMR use and organizational and environmental characteristics. Hospital EMR use was identified using the HIMSS Analytics data. Organizational and environmental variables were measured using data from the AHA, CMS (financial and case mix) and ARF. Hospital EMR adoption is significantly associated with environmental uncertainty, type of system affiliation, size, and urban-ness. The effects of competition, munificence, ownership, teaching status, public payer mix, and operating margin were not statistically significant. Significant predictors of hospital EMR adoption represent barriers that may prevent certain hospitals from obtaining and using EMRs. These hospitals include those that are smaller, more rural, non-system affiliated, and in areas of low environmental uncertainty. Since EMR adoption may be an organizational survival strategy for hospitals to improve quality and efficiency, hospitals that are at risk of missing the wave of implementation should be offered services and incentives to enable them to implement and maintain EMR systems.