2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 19 , Issue 1 , PP: 23-37, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Priyanka Sharma 1 * , Tapas Kumar 2 , S. S. Tyagi 3
Doi: https://doi.org/10.54216/FPA.190103
The intersection of the Electronic Health Records (EHR) is the main factor that makes healthcare delivery and the patient outcomes better. On one hand is the seamless combination of the EHR systems of different departments in preserving data security and privacy is a great achievement, but on the other hand, the integration of the EHR systems of different departments while maintaining data security and privacy is still an important concern This paper suggests a new blockchain-based secure framework that may be used to improve the interoperability of patient data among the EHR systems. The blockchain technology, which is immutable and decentralized, supports the major principles of the framework such as data integrity, security, and privacy. The proposed model comes with a strong recommender system, which makes the patient-doctor consultations, specialist suggestions, and the laboratory test requests according to the symptoms and doctors' recommendations more efficient. Thus, the system, when linked with Google Maps, recognizes local laboratories, and allows for direct test requests; consequently, the healthcare process is made more effective. The analyzed system optimizes the data exchange, protection, and the functionality of the informational system in contrast to the current EHR systems. It is therefore apparent that this blockchain-based technique is one that can efficiently address the challenges of EHR integration and therefore goes down well with the future of secure and efficient healthcare systems. Assessment of the framework demonstrates the effectiveness of the proposed adjustments in various aspects, such as data security and data compatibility and system; tests affirm the improvement of the user’s satisfaction and the improvement of the data management
Blockchain , Electronic Health Records (EHR) , Data Interoperability , Data Security , Privacy , Healthcare Efficiency , ,
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