ABSTRACT
Health Information Exchanges (HIEs) help various organizations to use aggregated clinical data for research purposes. Consumers may concern that private companies could access their personal information and such information could be misused for other purposes. This study attempts to extend the application of privacy calculus theory in the HIE domain by developing a model centered on the perceived benefits, perceived risks, their dimensions and antecedents to predict consumers’ opt-in intention toward HIE use for research purposes.
Author information
Pouyan Esmaeilzadeh is an Assistant Professor at Florida International University (FIU). His primary research interests include technology management, decision support systems, and health informatics. His articles have been published in several journals such as Journal of Biomedical Informatics, International Journal of Medical Informatics, and BMC medical informatics and decision making.