Abstract Computer-Interpretable Guidelines (CIGs) are representations of Clinical
Guidelines (CGs) in computer interpretable languages. CIGs have been pointed as an
alternative to deal with the various limitations of paper based CGs to support healthcare
activities. Although the improvements offered by existing CIG languages, the complexity of
the medical domain requires advanced features in order to reuse, share, update, combine or
personalize their contents. We propose a conceptual model for representing the content of …

Computer-Interpretable Guidelines (CIGs) are representations of Clinical Guidelines (CGs)
in computer interpretable languages. CIGs have been pointed as an alternative to deal with
the various limitations of paper based CGs to support healthcare activities. Although the
improvements offered by existing CIG languages, the complexity of the medical domain
requires advanced features in order to reuse, share, update, combine or personalize their
contents. We propose a conceptual model for representing the content of CGs as a result …