Bio-IT World June 24, 2021
If there’s anything the global pandemic has taught healthcare providers, it is the importance of timely and accurate data analysis and being ready to act on it. Yet these same organizations must move within the bounds of patient rights regulations, both existing and emerging, making it harder to access the data needed for building relevant artificial intelligence (AI) models.
One way to get around this constraint is de-identify the data before curating it into one centralized location where it can be used for AI model training.
An alternative option would be to keep the data where it originated and learn from this data in a distributed fashion without the need for de-identification....