LAUSR

ABSTRACT The implementation of Health Information Exchanges (HIEs) by healthcare organizations may not achieve the desired outcomes as consumers may request that their health information remains unshared because of information privacy concerns. Drawing on the insights of concern for information privacy (CFIP) literature, this work extends the application of CFIP to the HIE domain. This study attempts to develop and test a model centered on the four dimensions of CFIP construct (collection, errors, unauthorized access, and secondary use) and their antecedents to predict consumers’ opt-in behavioral intention toward HIE in the presence of the perceived health status’ effects. We conducted an online survey in the United States using 826 samples. The results demonstrate that the perceived health information sensitivity and computer anxiety meaningfully contribute to information privacy concerns and CFIP construct significantly impedes consumers’ opt-in decision to HIEs. Interestingly, contrary to our expectation, perceived poor health status considerably attenuates the negative effects exerted by CFIP on opt-in intention. The model proposed by this study can be used as a useful conceptual tool by both further studies and practitioners to examine the complex nature of patients’ reactions to information privacy threats associated with the use of HIE technology in the healthcare industry.