Varol O. Kayhan

Bio: Varol O. Kayhan is an academic researcher from University of South Florida St. Petersburg. The author has contributed to research in topics: Corporate governance & Project governance. The author has an hindex of 10, co-authored 22 publications receiving 344 citations. Previous affiliations of Varol O. Kayhan include University of South Florida.

The role of organizational factors in the adoption of healthcare information technology in Florida hospitals

Abstract: This study examines whether specific organizational characteristics, such as hospital size, geographic location (urban versus rural), system membership (stand-alone versus system-affiliated), and tax status (for-profit versus non-profit), influence adoption of healthcare information technologies (HIT) in hospitals. We hypothesize the above organizational characteristics to be related to hospitals' adoption of clinical, administrative, and strategic HIT, as well as all HIT in general. Using survey data collected from 98 Florida hospitals, we demonstrate that hospital size, system membership, and tax status, but not geographic location, are systematically related to HIT adoption, and that such factors explain about 28-41% of the adoption variance. A mixed pattern of effects emerge for clinical, administrative, and strategic HIT. For instance, hospital size appears to be less relevant for administrative HIT, where its effect is compensated by those of system membership and tax status. Implications for future HIT research and practice are discussed.

The Differential Performance Effects of Healthcare Information Technology Adoption

Abstract: This article examines the relationship between the adoption of healthcare information technology (HIT) and a hospital's operational performance. Combining primary survey data from Florida hospitals and secondary data from two government agencies responsible for hospital certification and licensing, the authors find differential performance effects for different clusters of HIT: administrative, clinical, and strategic. Only clinical HIT investments were found to have a statistically significant positive effect on operational performance.

The Differential Performance Effects of Healthcare Information Technology Adoption1

Abstract: This article examines the relationship between the adoption of healthcare information technology (HIT) and a hospital's operational performance. Combining primary survey data from Florida hospitals and secondary data from two government agencies responsible for hospital certification and licensing, the authors find differential performance effects for different clusters of HIT: administrative, clinical, and strategic. Only clinical HIT investments were found to have a statistically significant positive effect on operational performance.

Research Commentary---The Digital Transformation of Healthcare: Current Status and the Road Ahead

Abstract: As the United States expends extraordinary efforts toward the digitization of its health-care system, and as policy makers across the globe look to information technology (IT) as a means of making health-care systems safer, more affordable, and more accessible, a rare and remarkable opportunity has emerged for the information systems research community to leverage its in-depth knowledge to both advance theory and influence practice and policy. Although health IT (HIT) has tremendous potential to improve quality and reduce costs in healthcare, significant challenges need to be overcome to fully realize this potential. In this commentary, we survey the landscape of existing studies on HIT to provide an overview of the current status of HIT research. We then identify three major areas that warrant further research: (1) HIT design, implementation, and meaningful use; (2) measurement and quantification of HIT payoff and impact; and (3) extending the traditional realm of HIT. We discuss specific research questions in each domain and suggest appropriate methods to approach them. We encourage information systems scholars to become active participants in the global discourse on health-care transformation through IT.

Benefits and drawbacks of electronic health record systems

Abstract: The Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 that was signed into law as part of the “stimulus package” represents the largest US initiative to date that is designed to encourage widespread use of electronic health records (EHRs). In light of the changes anticipated from this policy initiative, the purpose of this paper is to review and summarize the literature on the benefits and drawbacks of EHR systems. Much of the literature has focused on key EHR functionalities, including clinical decision support systems, computerized order entry systems, and health information exchange. Our paper describes the potential benefits of EHRs that include clinical outcomes (eg, improved quality, reduced medical errors), organizational outcomes (eg, financial and operational benefits), and societal outcomes (eg, improved ability to conduct research, improved population health, reduced costs). Despite these benefits, studies in the literature highlight drawbacks associated with EHRs, which include the high upfront acquisition costs, ongoing maintenance costs, and disruptions to workflows that contribute to temporary losses in productivity that are the result of learning a new system. Moreover, EHRs are associated with potential perceived privacy concerns among patients, which are further addressed legislatively in the HITECH Act. Overall, experts and policymakers believe that significant benefits to patients and society can be realized when EHRs are widely adopted and used in a “meaningful” way.

Individual differences in reasoning: Implications for the rationality debate?-Open Peer Commentary-Differences, games, and pluralism

Abstract: Much research in the last two decades has demonstrated that human responses deviate from the performance deemed normative according to various models of decision making and rational judgment (e.g., the basic axioms of utility theory). This gap between the normative and the descriptive can be interpreted as indicating systematic irrationalities in human cognition. However, four alternative interpretations preserve the assumption that human behavior and cognition is largely rational. These posit that the gap is due to (1) performance errors, (2) computational limitations, (3) the wrong norm being applied by the experimenter, and (4) a different construal of the task by the subject. In the debates about the viability of these alternative explanations, attention has been focused too narrowly on the model response. In a series of experiments involving most of the classic tasks in the heuristics and biases literature, we have examined the implications of individual differences in performance for each of the four explanations of the normative/descriptive gap. Performance errors are a minor factor in the gap; computational limitations underlie non-normative responding on several tasks, particularly those that involve some type of cognitive decontextualization. Unexpected patterns of covariance can suggest when the wrong norm is being applied to a task or when an alternative construal of the task should be considered appropriate.