Literature DB >> 9865042

Linking a medical vocabulary to a clinical data model using Abstract Syntax Notation 1.

S M Huff1, R A Rocha, H R Solbrig, M W Barnes, S P Schrank, M Smith.   

Abstract

We have created a clinical data model using Abstract Syntax Notation 1 (ASN. 1). The clinical model is constructed from a small number of simple data types that are built into data structures of progressively greater complexity. Important intermediate types include Attributes, Observations, and Events. The highest level elements in the model are messages that are used for inter-process communication within a clinical information system. Vocabulary is incorporated into the model using BaseCoded, a primitive data type that allows vocabulary concepts and semantic relationships to be referenced using standard ASN. 1 notation. ASN. 1 subtyping language was useful in preventing unbounded proliferation of object classes in the model, and in general, ASN.1 was found to be a flexible and robust notation for representing a model of clinical information.

Mesh:

Year:  1998        PMID: 9865042

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  5 in total

1.  Influences of the Unified Service Action Model on the HL7 Reference Information Model.

Authors:  D C Russler; G Schadow; C Mead; T Snyder; L M Quade; C J McDonald
Journal:  Proc AMIA Symp       Date:  1999

2.  Organization of heterogeneous scientific data using the EAV/CR representation.

Authors:  P M Nadkarni; L Marenco; R Chen; E Skoufos; G Shepherd; P Miller
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

3.  Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances.

Authors:  Luis Marenco; Nicholas Tosches; Chiquito Crasto; Gordon Shepherd; Perry L Miller; Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

4.  Lessons learned in detailed clinical modeling at Intermountain Healthcare.

Authors:  Thomas A Oniki; Joseph F Coyle; Craig G Parker; Stanley M Huff
Journal:  J Am Med Inform Assoc       Date:  2014-07-03       Impact factor: 4.497

5.  Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project.

Authors:  Susan Rea; Jyotishman Pathak; Guergana Savova; Thomas A Oniki; Les Westberg; Calvin E Beebe; Cui Tao; Craig G Parker; Peter J Haug; Stanley M Huff; Christopher G Chute
Journal:  J Biomed Inform       Date:  2012-02-04       Impact factor: 6.317

  5 in total

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