An Electronic Health Record (EHR) can be defined as the digital version of an individual’s medical history. EHRs are intended to improve the quality and efficiency of healthcare, decrease costs and prevent medical errors. Previous studies have shown that achievement of the potential benefits from EHRs depends largely upon the adoption and continued use of EHR services by health care consumers (Esmaeilzadeh and Sambasivan 2017; Hanna et al. 2017). Further research, therefore, is necessary to better understand the factors that influence consumer EHR adoption. The proposed study aims to investigate the factors influencing consumer adoption of EHRs. A model based on the Decomposed Theory of Planned Behaviour (DTPB) (Taylor and Todd 1995) provides the theoretical framework for the research. The goal is to improve understanding of how health care consumers perceive this technology and the factors that influence their intentions to use it.
Mathai, Neethu; McGill, Tanya; and Toohey, Danny, "Using the Decomposed Theory of Planned Behaviour to explain Healthcare Consumer Adoption of Electronic Health Records" (2019). ACIS 2019 Proceedings. 20.