A Systematic Review of the Technology Acceptance Model in Digital Health Technology Adoption Among Healthcare Workers

Digital transformation in the healthcare sector has encouraged the use of various technologies, such as telemedicine, electronic health records, mobile health, and health information systems. However, the successful implementation digital health technology depends not only on system readiness, but also on the acceptance of healthcare professionals as the main users. This study aims systematically review how the Technology Acceptance Model (TAM) has been used to explain the adoption digital health technology among healthcare workers. The method used was systematic review of scientific articles from reputable databases discussing the application TAM in the context of digital health technology. The selected articles were empirical studies involving healthcare professionals and applying TAM in its original extended forms. The review found that perceived usefulness and perceived ease use were the most consistent constructs in explaining behavioral intention and use behavior. In addition, TAM was often extended by including variables such as subjective norm, self-efficacy, compatibility, experience, training, anxiety, habit, facilitating conditions, and organizational context. These findings indicate that healthcare professionals’ acceptance of technology influenced not only by perceived benefits and ease of use, but also by social, individual, and organizational factors. Therefore, TAM remains relevant as a basic framework, especially in its extended form.