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Medical privacy, or health privacy, is the practice of maintaining the security and confidentiality of patient records. It involves both the conversational discretion of health care providers and the security of medical records.
Data re-identification or de-anonymization is the practice of matching anonymous data (also known as de-identified data) with publicly available information, or auxiliary data, in order to discover the person to whom the data belongs. [1]
As digital privacy concerns grow, regulatory approaches have emerged to protect user data across various sectors. In the United States, privacy regulation has traditionally been sector-based, with different industries having their own rules. Since the 1970s, laws have covered areas like financial services, healthcare, and education.
Data anonymization has been defined as a "process by which personal data is altered in such a way that a data subject can no longer be identified directly or indirectly, either by the data controller alone or in collaboration with any other party."
The journal addresses both the potential and the challenges of digital health, including issues of patient privacy, regulatory needs, and safety. By fostering interdisciplinary dialogue and engaging a global community of researchers, clinicians, and policymakers, The Lancet Digital Health is a critical resource for shaping the responsible and ...
The patient health record is the primary legal record documenting the health care services provided to a person in any aspect of the health care system. The term includes routine clinical or office records, records of care in any health related setting, preventive care, lifestyle evaluation, research protocols and various clinical databases.
This mechanism will enshrine the value of health data and associated digital health products as a global public health good and call for action to safeguard the anonymity of health data providers, mitigate challenges and ensure universal access to digital health products and technology. [28]
Dataveillance gives rise to data shadows since it allows for the identification, classification and representation of individuals or organizations. [11] Dataveillance is defined as a mode of surveillance which tracks, monitors or regulates an individual using digital activity including their personal details and social media activities. [5]