Transforming Healthcare Data Management: A Blockchain-Based Cloud EHR System for Enhanced Security and Interoperability

Agariadne Dwinggo Samala; Soha Rawas

doi:10.3991/ijoe.v20i02.45693

Authors

Agariadne Dwinggo Samala Faculty of Engineering, Universitas Negeri Padang, West Sumatera, Indonesia https://orcid.org/0000-0002-4425-0605
Soha Rawas Faculty of Science, Department of Mathematics and Computer Science, Beirut Arab University, Beirut, Lebanon https://orcid.org/0000-0001-5128-6529

DOI:

https://doi.org/10.3991/ijoe.v20i02.45693

Keywords:

EHR, blockchain, cloud computing, data security, interoperability

Abstract

The adoption of cloud-based electronic health record (EHR) systems and blockchain technology in healthcare is gaining attention for enhancing data security and interoperability. This research focuses on designing and implementing a blockchain-based cloud EHR system. It explores selecting suitable blockchain technology, cloud infrastructure, and data management methods to ensure patient data confidentiality, integrity, and availability. The architecture and components of the system, including the blockchain network, cloud storage layer, and user interface, are thoroughly discussed. A pilot study evaluates the system’s feasibility and performance, showcasing improved data protection, sharing, and management compared to traditional EHR systems. The potential benefits, drawbacks, and barriers to adoption of a blockchain-based cloud EHR system are examined. This research provides valuable insights and recommendations for healthcare institutions considering the implementation of such systems, addressing the challenges, and offering guidance for successful adoption.

Author Biographies

Agariadne Dwinggo Samala, Faculty of Engineering, Universitas Negeri Padang, West Sumatera, Indonesia

Dr. Agariadne Dwinggo Samala is a professional educator, futurologist, and dedicated researcher, currently an Assistant Professor at the Faculty of Engineering, Universitas Negeri Padang (UNP), Indonesia. His academic journey began with his bachelor’s degree (S1) from the Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Indonesia, in 2015. Additionally, he completed a master’s degree (S2) in Technology and Vocational Education from the Faculty of Engineering at UNP, focusing on Informatics Engineering Education in 2018. In 2023, he achieved his doctoral degree (S3) from UNP, Indonesia, with his research focusing on exploring innovative intersections of technology and education. Moreover, Dr. Samala actively contributes to the academic community as a member of EMERGE (Emerging Technologies, Multimedia, and Education Research Group Env.) at Digital Society Lab, advancing research initiatives. He is also an external collaborator of the Digital Society Lab at the Institute for Philosophy and Social Theory (IFDT), University of Belgrade, Serbia. Additionally, he extends his collaborative efforts as an external collaborator at Technology, Instruction, and Design in Engineering and Education Research (TiDEE.rg), Universidad Católica de Ávila, Spain. His global engagement continues as a member of the International Society for Engineering Pedagogy (IGIP) in Austria. With a deep passion for education, Dr. Samala has conducted impactful research on technology-enhanced learning (TEL), emerging technologies in education, flexible learning, 21st-century learning, technology, and vocational education and training (TVET). His commitment extends beyond research, actively contributing to the academic community by serving as an editorial board member for J-HyTEL, Elektif, Voteteknika, JTIP, JITCE, AMLER, JPTK, JEREL, and JCIM. With more than 40 published scientific papers, he has significantly contributed to the scientific community. Dr. Samala has also fostered collaborative partnerships with experts worldwide to drive progress in education. Additionally, he holds certifications as a Microsoft Certified Educator (21st Century Learning), Microsoft Certified: Power BI Data Analyst Associate, and Google Certified Educator (Lv.1), underscoring his commitment to innovative teaching and learning practices by integrating technology to enhance education.

Soha Rawas, Faculty of Science, Department of Mathematics and Computer Science, Beirut Arab University, Beirut, Lebanon

Dr. Soha Rawas, holding a Doctor of Philosophy degree (Ph.D.) in Mathematics and Computer Science, graduated from Beirut Arab University (BAU) in 2019. Dr. Rawas possesses a broad spectrum of expertise spanning several domains, notably artificial intelligence, deep learning, internet of medical things (IOMT), cloud computing, and image processing. With unwavering dedication to her research pursuits, she currently serves as an Assistant Professor within the Faculty of Science, Department of Computer Science, at Beirut Arab University (BAU). In addition, she holds a directorial role at the Center for Continuing Education (CEC) at BAU.