Our latest article in Applied Clinical Trials Online discusses the Role of Data Science and Understanding Patient Behavior.

Data science is particularly useful for analyzing large sets to identify patterns, including causal relationships. What is very specific to medication adherence data, particularly when you are looking at electronic monitoring data, is the complexity of the data over time and its context.

Using over nine million adherence data points from the AARDEX knowledge center, we have developed a powerful suite of algorithms that enable to depict individual medication intake behaviors as well as changes that occur over time.