Data science applies tools such as computational methods, statistics, visualization, and artificial intelligence to improve laboratory operations and patient outcomes.
This interdisciplinary field centers on leveraging data to improve the quality and efficiency of laboratory medicine. It improves patient outcomes and reduces healthcare costs.
Data science in lab medicine covers data governance, informatics, data processing, data analytics, machine learning, and artificial intelligence.
Browse all of ADLM's educational content on data science, data analytics, and machine learning.
ADLM’s Data Science Steering Committee created a series of data challenges on the Artery member community. These challenges provide an opportunity to learn and share data science skills with like-minded colleagues.
