An operational guide to translational clinical machine learning in academic medical centers
Mukund Poddar,
Jayson S. Marwaha,
William Yuan
et al.
Abstract:Few published data science tools are ever translated from academia to real-world clinical settings for which they were intended. One dimension of this problem is the software engineering task of turning published academic projects into tools that are usable at the bedside. Given the complexity of the data ecosystem in large health systems, this task often represents a significant barrier to the real-world deployment of data science tools for prospective piloting and evaluation. Many information technology comp… Show more
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