Literature DB >> 18693912

What particulars are referred to in Electronic Health Record data? A case study in integrating Referent Tracking into an EHR application.

Ron Rudnicki1, Werner Ceusters, Shahid Manzoor, Barry Smith.   

Abstract

Referent Tracking (RT) advocates the use of instance unique identifiers to refer to the entities comprising the subject matter of patient health records. RT promises many benefits to those who use health record data to improve patient care. To further the adoption of the paradigm we provide an illustration of how data from an EHR application needs to be decomposed in order to make it accord with the tenets of RT. We describe the ontological principles on which this decomposition is based in order to allow integration efforts to be applied in similar ways to other EHR applications. We find that an ordinary statement from an EHR contains a surprising amount of "hidden" data that are only revealed by its decomposition according to these principles.

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Mesh:

Year:  2007        PMID: 18693912      PMCID: PMC2655819     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  4 in total

1.  Biodynamic ontology: applying BFO in the biomedical domain.

Authors:  Pierre Grenon; Barry Smith; Louis Goldberg
Journal:  Stud Health Technol Inform       Date:  2004

2.  Strategies for referent tracking in electronic health records.

Authors:  Werner Ceusters; Barry Smith
Journal:  J Biomed Inform       Date:  2005-09-09       Impact factor: 6.317

3.  Referent tracking: the problem of negative findings.

Authors:  Werner Ceusters; Peter Elkin; Barry Smith
Journal:  Stud Health Technol Inform       Date:  2006

4.  Relations in biomedical ontologies.

Authors:  Barry Smith; Werner Ceusters; Bert Klagges; Jacob Köhler; Anand Kumar; Jane Lomax; Chris Mungall; Fabian Neuhaus; Alan L Rector; Cornelius Rosse
Journal:  Genome Biol       Date:  2005-04-28       Impact factor: 13.583

  4 in total
  5 in total

1.  A middleware approach to integrate referent tracking in EHR systems.

Authors:  Shahid Manzoor; Werner M Ceusters; Ron Rudnicki
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

2.  The Problems of Realism-Based Ontology Design: a Case Study in Creating Definitions for an Application Ontology for Diabetes Camps.

Authors:  James C Schuler; Werner M Ceusters
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  An evolutionary approach to realism-based adverse event representations.

Authors:  W Ceusters; M Capolupo; G de Moor; J Devlies; B Smith
Journal:  Methods Inf Med       Date:  2010-11-08       Impact factor: 2.176

4.  Enhancing the Representational Power of i2b2 through Referent Tracking.

Authors:  Jonathan C Blaisure; Werner M Ceusters
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

5.  An evolutionary approach to the representation of adverse events.

Authors:  Werner Ceusters; Maria Capolupo; Barry Smith; Georges De Moor
Journal:  Stud Health Technol Inform       Date:  2009
  5 in total

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