Paper Type
ERF
Abstract
This study examines how explainability and trust shape patients’ attitudes toward healthcare information and communication technologies (ICT). Drawing on technology acceptance and trust literature, we propose and test a structural model linking explainability to key trust dimensions - reliability, fairness, and perceived technological safety - and their influence on perceived patient safety and attitudes toward ICT use. Data from a nationwide survey of 1,074 healthcare users was analyzed using structural equation modeling. The results highlight explainability as a central driver of trust formation and positive attitudes, both directly and indirectly through perceived safety. In contrast, formal security safeguards show limited influence on patient perceptions. The findings underscore the importance of transparency and trust-building mechanisms in fostering patient acceptance of digital healthcare technologies.
Paper Number
1428
Recommended Citation
Krot, Katarzyna; Karczmarczyk, Artur; Rudawska, Iga; and Wątróbski, Jarosław, "Patient Attitudes Toward Healthcare ICT: The Interplay of Explainability and Trust" (2026). AMCIS 2026 Proceedings. 7.
https://aisel.aisnet.org/amcis2026/sig_health/sig_health/7
Patient Attitudes Toward Healthcare ICT: The Interplay of Explainability and Trust
This study examines how explainability and trust shape patients’ attitudes toward healthcare information and communication technologies (ICT). Drawing on technology acceptance and trust literature, we propose and test a structural model linking explainability to key trust dimensions - reliability, fairness, and perceived technological safety - and their influence on perceived patient safety and attitudes toward ICT use. Data from a nationwide survey of 1,074 healthcare users was analyzed using structural equation modeling. The results highlight explainability as a central driver of trust formation and positive attitudes, both directly and indirectly through perceived safety. In contrast, formal security safeguards show limited influence on patient perceptions. The findings underscore the importance of transparency and trust-building mechanisms in fostering patient acceptance of digital healthcare technologies.
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