Health IT Analytics August 29, 2023
Successful healthcare analytics efforts require stakeholders to prioritize data de-identification through the use of algorithmic privacy-enhancing technologies.
Big data analytics in healthcare have the potential to advance medical research and lead to important breakthroughs, but ensuring both security and access to protected health information (PHI) can be a challenge.
Healthcare data access is a major barrier to the advancement of technologies like artificial intelligence, but implementing robust data de-identification considerations has the potential to mitigate this obstacle.
A key part of data de-identification within healthcare analytics involves finding the tools that best support an organization’s needs.
Many of these tools are known as privacy-enhancing technologies (PETs), which the Organisation for Economic Co-operation and Development (OECD) defines as “digital solutions that...
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