Healthcare organizations are capturing petabytes of digital information across electronic health records, genomic sequences and IoT data. Using this data to improve clinical practice requires AI technologies that bring disparate data together with state-of-the-art accuracy.
However, building actionable insights with analytics and machine learning in a clinical setting is no easy task. In this eBook, we focus on how informatics leaders from the Medical University of South Carolina (MUSC) and UCLA Health are building a strategy for modern cloud analytics. We’ll cover: