Start Date
11-12-2016 12:00 AM
Description
The smart card is a cloud-based device that enables participating healthcare organization’s greater access to a patient’s protected health information. This research investigates salient factors including the impact of communication using message framing on the likelihood to use the cards. We integrate the technology acceptance model theory (TAM) with the prospect theory, using message framing to assess the impact of gain-and loss-framed messages on patient’s likelihood to use. The conceptual model also adapts TAM by considering new constructs specific to the adoption of smart cards. Using data collected from 331 patients, we use logistic regression to investigate the adoption of this technology. Preliminary results indicate that concern for location monitoring and loss-framed messages have an adverse impact on a patient’s likelihood to adopt. Error prevention, smart card benefits, improved decision making and the social influence of healthcare actors have positive effects on the likelihood to use smart cards.
Recommended Citation
Howell, Pamella; Abdelhamid, Mohamed; Sharman, Raj; and Das Smith, Sanjukta, "Smart Card Adoption in Healthcare: An Experimental Survey Design using Message Framing" (2016). ICIS 2016 Proceedings. 16.
https://aisel.aisnet.org/icis2016/ITImplementation/Presentations/16
Smart Card Adoption in Healthcare: An Experimental Survey Design using Message Framing
The smart card is a cloud-based device that enables participating healthcare organization’s greater access to a patient’s protected health information. This research investigates salient factors including the impact of communication using message framing on the likelihood to use the cards. We integrate the technology acceptance model theory (TAM) with the prospect theory, using message framing to assess the impact of gain-and loss-framed messages on patient’s likelihood to use. The conceptual model also adapts TAM by considering new constructs specific to the adoption of smart cards. Using data collected from 331 patients, we use logistic regression to investigate the adoption of this technology. Preliminary results indicate that concern for location monitoring and loss-framed messages have an adverse impact on a patient’s likelihood to adopt. Error prevention, smart card benefits, improved decision making and the social influence of healthcare actors have positive effects on the likelihood to use smart cards.