ENSURING PRIVACY IN HEALTHCARE BIG DATA: APPROACHES TO PROTECTING SENSITIVE PATIENT DATA

• Dr. Zainab Iqbal

  Institute of Data Science and Analytics, Punjab University College of Information Technology, Lahore, Pakistan.

The integration of Big Data analytics in healthcare has the potential to transform patient care, improve clinical outcomes, and optimize healthcare systems. However, it also raises significant concerns regarding the privacy and security of sensitive patient information. This article explores various approaches to safeguarding patient data within the context of Big Data in healthcare. Key privacy-preserving techniques, including encryption, differential privacy, and blockchain, are discussed. Furthermore, the paper evaluates regulatory frameworks such as GDPR and HIPAA, which aim to protect patient data from unauthorized access and misuse. The article also examines emerging technologies, including AI and machine learning, that can enhance data security while ensuring compliance with privacy regulations. This work aims to provide a comprehensive overview of the challenges and solutions related to maintaining privacy in healthcare Big Data systems.

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