Getting your hands on a large, rich, longitudinal set of patient data is a data scientist’s dream. You can’t train a model that predicts sepsis without access to a good dataset of hospital visits. You ...

As money pours into health care startups built around artificial intelligence — more than 350 deals totaling $4 billion in 2019 — the field is generally overlooking the potential litigation risk ...

The Office of the Australian Information Commissioner (OAIC) and CSIRO's Data61 have published a framework that aims to assist organisations to de-identify data appropriately and put strategies in ...

School districts and the companies that work with them need to put a greater emphasis on ensuring that the massive amounts of student data collected every year are cleared of identifying information ...

A growing number of hospitals are banding together with tech companies to create analytics businesses, or develop predictive algorithms. These efforts are fueled by de-identified data, which gives ...

Healthcare organizations and hospitals in the United States all sit on treasure troves: a stockpile of patient health data stored as electronic medical records. Those files show what people are sick ...

This article is part of the collection: How AI Is Writing the Next Chapter in ELA Instruction. As the Director of Quantitative Research and Data Science, as well as ...