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Information Models Properties in Learning Health Systems: A Literature Review
Øivind Skeidsvoll Solvang1,2, Sonja Cassidy1,2, Luis Marco-Ruiz3
1Department of Strategic ICT, Helse Vest IKT, Bergen, Norway.
Abstract:
Learning Health Systems (LHS) are challenged by fragmented health data. In Valkyrie, information models (IM) are explored as translators for the underlying, fragmented data structures and can potentially extend to support a future LHS. In this paper, a literature review was performed to search for property requirements for semantic interoperable IMs in the context of an LHS. The literature was examined and property requirements elicited in the context of an LHS.
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