Leveraging Blockchain Technology for Preserving the Privacy of Electronic Health Records
摘要
The continuous growth in technology has significantly contributed to the healthcare sector by enhancing medical treatment and patient care. In recent years the electronic health records (EHRs) have had a significant influence and transformed the healthcare industry, leading to transformative changes. One notable effect is, electronic health records have changed the health sector by making it possible for medical practitioners to store medical data on computers. This turned into notable improvements specifically in the areas of early treatment initiatives, an exact therapy plan to be followed, and the ability to obtain data conveniently and at any location or time. The proliferation of handheld technologies such as mobile phones and smart gadgets has resulted in improved accessibility to electronic health records for patients, hence enhancing patient participation and empowerment. Nevertheless, it is important to acknowledge that the current electronic health record system possesses some weaknesses, like risks of data loss, lack of security and immutability for health records, communication gaps between hospitals, unauthorized data access, and so on. There is a need for the development of a technologically advanced solution that can effectively address the vulnerabilities inherent in the current system. Blockchain has features of decentralization, distributed, cryptography, and immutability, which have the potential to help with the above problems in EHR-based systems. This research work focuses on the development of blockchain as a decentralized technology with the potential to handle the aforementioned vulnerabilities in electronic health record (EHR) systems. This proposed framework incorporates decentralization and utilizes blockchain technology for EHRs, employing smart contracts as well. In addition to that, a functional prototype has also been developed utilizing Hyperledger Fabric and Composer technologies, ensuring the security of the proposed model.