EHR extracts based on common shared archetypes are proposed as a means to exchange information between different health care providers [ 4 ]. No additional interest will be paid with respect to a postponement of the Interest Payment Date. At our option, we may redeem the notes, in whole but not in part, on any of the Redemption Dates specified below. ES was the coordinator and editor of the manuscript and wrote major parts of the sections Teminology visualisation, results, discussion, appendix and the abstract. The user can simultaneously focus on several nodes in terminology systems and then use interactive animated graph navigation for further exploration without loosing context. Lexical and semantic methods are applied in order to obtain automatic mapping suggestions.

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Semantic mapping of clinical model data to biomedical terminologies to facilitate interoperability. We may choose to redeem the notes early or choose not to redeem the notes early on any Redemption Date, in our sole discretion.

The graph is constructed by climbing the hierarchy using the IS-A relations starting from the search results ending at the top concept.

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Appendix Terminology constraint bindings can in archetypes be stated as ‘placeholder constraints’ as discussed in detail in chapter 5. The ‘ontologies of information’ are then divided into:. Many coordination variations may in ivdx end mean the same thing, e.

Exactly how, where, when and by whom bindings between archetypes and terminology systems should be created and maintained is currently far from obvious.

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Trying to capture the moving target of terminology binding for archetypes in a static publication like this paper is impossible. After the initial publication of this paper two of the authors, RQ and AR, have conducted user studies using the integrated editor. Such amount will be ey to the person who is the holder of record of such notes at the close of business on the business day immediately preceding the applicable Redemption Date.

The integrated editor eliminates the need for users to swap applications to find appropriate terminology entries. We urge you to consult your investment, legal, tax, accounting and other advisers icdd you invest in the notes.

Integration of tools for binding archetypes to SNOMED CT

Meaning of nodes in archetypes is given by textual descriptions and optionally by reference to external terminology systems:. In openEHR, this component is named the Reference model. This is described in RQs PhD thesis [ 10 ] and related papers.

The graph can be interactively explored and expanded. Large terminology systems with complex intertwined structure can be hard to navigate and get acquainted with. See [ 10 icxd for comprehensive information regarding MoST. The results can then be related to each other and surrounding context using the built in TermViz feature by clicking the ‘Explore’ button. This amount will be less than you would have received had the notes not been called early and continued to pay interest over the full term of the notes.


Notwithstanding anything to the contrary in the product supplement, any accrued and unpaid interest will be paid to the person who is the holder of record of such notes at the close of business on the business day immediately following the applicable Interest Payment Date. The notes are designed for investors who seek semi-annual interest payments at a fixed rate that will increase over the term of the notes and return of their principal at maturity or upon early redemption at our option, as applicable.

The Archetype formalism and the associated Archetype Definition Language have been proposed as an ISO iccx for specifying models of components of electronic healthcare records as a means of achieving interoperability between clinical systems.

This paper was originally published with identical title in: Formal methods addressing these problems are being researched by one of the authors Rector.

The mapping process is further assisted by the ability to get candidate mappings from MoST. Terminology constraint bindings can in archetypes be stated as ‘placeholder constraints’ as discussed in detail in chapter 5. This is an open access article distributed under the terms of the Creative Commons Attribution License http: The structure is divided into two main categories entitled ‘ontologies of information’ and ‘ontologies of reality’. The MoST system In order to bind nodes in clinical data models to nodes in external terminologies we must first find appropriate matches.

Since the tools discussed in this paper have been developed on the principles of general applicability, it is expected that other terminology systems such as GALEN http: This paper describes the integration of three applications related to archetypes and terminology systems.