The trade-off between widespread technology adoption and responsible use often lies on the spectrum of privacy. When it comes to technologies fueled by data, it’s even harder to strike the balance between equitable access and inherent risk. Advances in areas like transfer learning can now be used to build models and then optimize them. This is a unique approach that not only safeguards patient information, but also makes it possible to deliver highly personalized care. The risk of a data breach is very real, especially if your data is all stored in one place.
Source: https://www.helpnetsecurity.com/2021/07/16/healthcare-privacy-personalization-balance/