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Malaysian Health Centers’ Intention to Use an SMS-Based Vaccination Reminder and Management System: A Conceptual Model

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1073))

Abstract

Most Malaysian health centers still apply a paper-based vaccination system to save a record of the vaccination milestones of infants, and to remind their parents to bring them to health centers for immunization. The current system causes massive workloads on nurses declining their efficiency in the workplace. Therefore, this study proposes an SMS-based vaccination reminder and management system called Virtual Health Connect (VHC) to assist the health centers by simplifying the management of infants’ immunization records. This study aims to realize influential factors of intention to use VHC among Malaysian health centers by considering the technology acceptance model (TAM) as an underlying theory. The proposed model will be verified using data collected from self-directed questionnaires answered by nurses working in Malaysian government hospitals and government clinics. A research method based on the multi-analytical approach of Multiple Regression Analysis (MRA) and Artificial Neural Networks (ANN) will refine the results of this research. This study will contribute to the theoretical body of knowledge about influential factors of health centers’ intention to use VHC in Malaysian government health centers by extending the TAM model by adding new variables. The practical contribution of this study will help software developers to develop VHC by considering essential factors that determine health centers to intend to use VHC.

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Correspondence to Kamal Karkonasasi .

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Karkonasasi, K., Yu-N, C., Mousavi, S.A., Baharudin, A.S. (2020). Malaysian Health Centers’ Intention to Use an SMS-Based Vaccination Reminder and Management System: A Conceptual Model. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_90

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