Literature DB >> 23920627

Semantic interoperation and electronic health records: context sensitive mapping from SNOMED CT to ICD-10.

James R Campbell1, Hazel Brear, Rita Scichilone, Susan White, Kathy Giannangelo, Brian Carlsen, Harold Solbrig, Kin Wah Fung.   

Abstract

An important case for successful deployment of a lifetime electronic health record is reuse of clinical data from the electronic health record (EHR) for epidemiology, reimbursement, and research. We report a collaboration between the IHTSDO and the WHO to develop knowledge-based tools supporting translation of data from SNOMED CT to the ICD-10 classification. These tools have been vetted by an international community and are available for system vendors to enhance the interoperability of their products. The maps we created are also informing the development of the next generation of classifications which will employ a common ontology base between SNOMED CT and ICD-11 to promote interoperability.

Mesh:

Year:  2013        PMID: 23920627

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.

Authors:  Jay Urbain
Journal:  J Biomed Inform       Date:  2015-08-21       Impact factor: 6.317

2.  An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT.

Authors:  Kin Wah Fung; Julia Xu
Journal:  J Am Med Inform Assoc       Date:  2015-02-26       Impact factor: 4.497

  2 in total

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