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        <article-title>Post-Coordination in the Mapping of Interface Terms of a Clinical Wound Documentation System to SNOMED CT</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Martin Boeker</string-name>
          <email>martin.boeker@uniklinik-freiburg.de</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Stefan Schulz</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Thilo Schuler</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dept. of Medical Biometry</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Medical Informatics</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Dermatology, University Medical Center Freiburg</institution>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University Medical Center Freiburg</institution>
        </aff>
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      <p>The objective of this work is to provide a
formalization of the semantics of SNOMED CT’s
refinement rules in Description Logics and to
exemplify their usage on a real world wound
documentation system.</p>
      <p>The goal of unambiguous documentation and
communication of medical information with
explicit semantics can be reached by combining
standards and terminologies. Information Models
(e.g. the HL7 Clinical Document Architecture on
Level 3) together with terminology systems (e.g.
LOINC and SNOMED CT) are promising
candidates for building a semantically interoperable
framework for electronic health records.</p>
      <p>We investigated how LOINC and SNOMED CT
concepts can unambiguously and completely cover
user interface terms of an existing electronic,
formbased documentation system used in clinical
dermatology. Especially, the feasibility of
postcoordinating complex expressions according to the
SNOMED CT terminology model is target of our
investigations. Besides analyzing completeness and
uniqueness of the mappings and the
userfriendliness of the mapping process, we discuss the
different ways of post-coordination (refinement
types) presented in SNOMED CT’s technical
documentation. Where post-coordination was
required, we adhered to the SNOMED CT
terminology model refinement types and the
“SNOMED Compositional Grammar” syntax.
The manual mapping process proved to be time
consuming and prone to ambiguous solutions where
post-coordination of SNOMED CT expressions was
necessary. However, for most user interface terms a
complete semantic representation could be
generated. A coverage of nearly 100% of clinical
user interface terms shows the appropriateness of
SNOMED CT as a reference terminology for the
domain under scrutiny. The natural language
descriptions of refinement types in the SNOMED
CT documentation were formalized in Description
Logics and reduced to four basic patterns.
Problems with coding and post-coordination can be
explained by weak documentation and poor tool
support. The structure of the documentation forces
users to collect necessary information from several
SNOMED CT reference documents. Although
mechanisms for post-coordination allowed to
express a substantial amount of terms we suggest
that tool support and formalized documentation for
post-coordination (refinement) is enhanced. Tool
support should reduce browsing complexity,
support post-coordination and give clear advice
how to use SNOMED CT according to the
SNOMED CT compositional grammar and
refinement rules. Furthermore, we recommend a
thorough redesign of the post-coordination
guidelines which entails the clarification of
SNOMED CT's logical and ontological
foundations.</p>
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