Data analytics uses statistics to find patterns in massive amounts of data. It could launch healthcare into a new era by mining medical data to find cures for diseases, identify vulnerable patients before they become ill, and better personalize testing and treatments.
A hazard of laboratory testing algorithms is the potential to perpetuate health inequities instead of solving them. But what if an algorithm could identify and monitor fair practices? In ADLM’s FairLabs data analytics challenge, teams will compete to analyze and visualize fairness in peripartum urine drug screening.
ADLM’s Data Analytics Steering Committee created a series of data challenges on the Artery, the association’s members-only community. These challenges provide an opportunity to learn and share data analytics skills with like-minded colleagues.
