Clinical Decision Support Systems Redeployment - Levels of Matching Between Variables in Different Ecosystems
Gourav Gupta1, Jan Stanek1, Wolfgang Mayer1
1Industrial AI Research Centre, Digital Health Innovation and Clinical Informatics Lab (DHICI), University of South Australia, Adelaide, Australia.
None:
Creation of complex AI solutions is laborious and costly. Health organizations are highly diverse, so simple transfer of a solution from one organization to another is typically not viable, and redeployment is necessary. The first step in redeployment process is to determine differences between variables on the source and target system. In our paper we describe 5 dimensions to determine the match: shallow match, deep match, representation match, metadata match and data match.
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