Literature DB >> 14519402

A formal representation for messages containing compositional expressions.

Peter L Elkin1, Steven H Brown, Michael J Lincoln, Michael Hogarth, Alan Rector.   

Abstract

Clinically useful controlled vocabularies should represent healthcare concepts completely and with high reliability. Anticipating and pre-coordinating all possible expressions (e.g. 'fracture of the left femur' and 'fracture of the right femur') is not feasible. Variation in practice styles, requirements for the granularity of content, the exponential growth of terminology size, and increased cost of maintaining pre-coordinated terminologies lead us to conclude that no enumerated terminology can ever be truly comprehensive. Compositional terminologies are one potential solution to the problem of content completeness, but carry a risk of generating expressions whose equivalency cannot be easily determined. In order for post-coordinated expressions to be comparable, a sufficiently detailed formal mechanism for information representation is necessary. Comparable data for post-coordinated expressions requires normalization of both the contents and the semantics of the contents of the terminology with the information captured in post-coordinated expressions. In addition, comparable data requires a storage and messaging paradigm robust enough to faithfully represent the information contained within arbitrarily complex compositional expressions. We present a formalism for storing, and sending messages containing compositional expressions using a large-scale reference terminology. It is our intent that this formalism be used to algorithmically determine whether or not messages contain comparable data. In addition, we advocate transmitting the upward transitive closure of subsumption of all concepts, to improve comparability of data and to decrease reliance on locally stored versions of the underlying reference terminology.

Mesh:

Year:  2003        PMID: 14519402     DOI: 10.1016/s1386-5056(03)00087-x

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  8 in total

Review 1.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

2.  Comparing heterogeneous SNOMED CT coding of clinical research concepts by examining normalized expressions.

Authors:  James E Andrews; Timothy B Patrick; Rachel L Richesson; Hana Brown; Jeffrey P Krischer
Journal:  J Biomed Inform       Date:  2008-02-05       Impact factor: 6.317

3.  Auditing the semantic completeness of SNOMED CT using formal concept analysis.

Authors:  Guoqian Jiang; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

4.  The Sublanguage of Clinical Problem Lists: A Corpus Analysis.

Authors:  Kevin J Peterson; Hongfang Liu
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  Using SNOMED CT to represent two interface terminologies.

Authors:  S Trent Rosenbloom; Steven H Brown; David Froehling; Brent A Bauer; Dietlind L Wahner-Roedler; William M Gregg; Peter L Elkin
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

6.  A model for evaluating interface terminologies.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

7.  Biomedical Informatics Investigator.

Authors:  Peter L Elkin; Sarah Mullin; Sylvester Sakilay
Journal:  Stud Health Technol Inform       Date:  2018

8.  The Development of Medical Record Items: a User-centered, Bottom-up Approach.

Authors:  Youngah Kim; Hangi Park; Hong-Gee Kim; Yong Oock Kim
Journal:  Healthc Inform Res       Date:  2012-03-31
  8 in total

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