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@article{188681,
        author = {Gemini A. Parmar and Punit C. Trivedi},
        title = {Strengthening Data Privacy and Security in Modern Healthcare Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2654-2659},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188681},
        abstract = {the ongoing digital evolution of the healthcare sector has resulted in widespread use of connected medical devices, electronic health records (EHRs), cloud-based storage solutions, and advanced data analytics systems. Although these innovations support better patient outcomes, faster diagnostics, and informed clinical decision-making, they also create significant challenges in terms of data privacy and security. Modern healthcare infrastructures are becoming prime targets for cyber threats including ransom ware, information breaches, illicit access, and sophisticated persistent attacks, which pose serious dangers to patient welfare and organizational operations. This review presents an in-depth analysis of current privacy issues and emerging security risks across healthcare networks. It discusses existing regulatory standards, encryption technologies, access control models, intrusion detection systems, the incorporation of blockchain, and the application of artificial intelligence and machine learning in protecting healthcare information. Moreover, the paper identifies weaknesses in present security approaches and recognizes research gaps related to interoperability, protected data exchange, threat detection precision, and regulatory compliance. The study concludes by outlining potential future directions and advocating a multi-layered cyber security framework designed for modern healthcare ecosystems, focusing on system resilience, data confidentiality, scalability, and continuous monitoring to enhance overall security capabilities. Healthcare data security refers to the protection of sensitive medical information from unauthorized access, misuse, or breaches. Emerging solutions leverage encryption, blockchain, AI, and machine learning to enhance security and proactively detect potential breaches, aiming to create a trustworthy environment where healthcare providers can safely store, share, and process patient information.},
        keywords = {Data Privacy, Healthcare Security, EHRs, Blockchain, Intrusion Detection, Cloud Computing.},
        month = {December},
        }