Leveraging AI and machine learning to protect and validate relevant patient data

An ever-growing amount of healthcare and life sciences data is being generated from a widening variety of sources, such as medical practices, laboratories, pharmaceutical companies, payers, electronic health records and imaging systems, and the proliferation of IoT devices. Failing to properly control all that data is creating what Michael K. Giannopoulos calls “data sludge.”

“We’re quickly approaching the point where the amount of data and the number of ingestion points we have is becoming unmanageable by a human or a …