The goal of anywhere, anytime medical information exchange is impeded by the plethora of local conventions for identifying health data in separate electronic systems. Clinicians, administrators, and researchers all need a complete set of clinical information, coalesced from all of the various sources that produce health data. Mapping local terms to a standardized vocabulary such as LOINC bridges the many islands of health data that exists and facilitates data aggregation. But, mapping terms is a complex, labor-intensive process. The goal of this work is describe and understand the challenges and develop tools to overcome them.

Publications

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Haffer N, Thun S. Postcoordination of LOINC Codes in SNOMED CT. Stud Health Technol Inform. 2021 May 24;278:19–26.
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Lougheed MD, Thomas NJ, Wasilewski NV, Morra AH, Minard JP. Use of SNOMED CT® and LOINC® to standardize terminology for primary care asthma electronic health records. J Asthma. 2018 Jun;55(6):629–39.
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Kieft R a. MM, Vreeke EM, de Groot EM, de Graaf-Waar HI, van Gool CH, Koster N, et al. Mapping the Dutch SNOMED CT subset to Omaha System, NANDA International and International Classification of Functioning, Disability and Health. Int J Med Inform. 2018 Mar;111:77–82.
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Kim TY, Hardiker N, Coenen A. Inter-terminology mapping of nursing problems. J Biomed Inform. 2014 Jun;49:213–20. Download
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Fidahussein M, Vreeman DJ. A corpus-based approach for automated LOINC mapping. J Am Med Inform Assoc. 2013 May 15; Download
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Lin MC, Vreeman DJ, McDonald CJ, Huff SM. Auditing consistency and usefulness of LOINC use among three large institutions - Using version spaces for grouping LOINC codes. J Biomed Inform [Internet]. 2012 Aug [cited 2012 Aug 19];45(4):658–66. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22306382
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Gamache RE, Dixon BE, Grannis S, Vreeman DJ. Impact of selective mapping strategies on automated laboratory result notification to public health authorities. AMIA Annu Symp Proc. 2012;2012:228–36.
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Lin MC, Vreeman DJ, Huff SM. Investigating the semantic interoperability of laboratory data exchanged using LOINC codes in three large institutions. AMIA Annu Symp Proc. 2011;2011:805–14.
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Lin MC, Vreeman DJ, McDonald CJ, Huff SM. Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions. AMIA Annu Symp Proc [Internet]. 2010 [cited 2012 Aug 19];447–51. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21347018
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Vreeman DJ, Stark M, Tomashefski GL, Phillips DR, Dexter PR. Embracing change in a health information exchange. AMIA Annu Symp Proc. 2008;768–72. Download
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Vreeman DJ, Finnell JT, Overhage JM. A rationale for parsimonious laboratory term mapping by frequency. AMIA Annu Symp Proc [Internet]. 2007 [cited 2010 Jul 28];771–5. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18693941
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Vreeman DJ. Keeping up with changing source system terms in a local health information infrastructure: running to stand still. Stud Health Technol Inform. 2007;129(Pt 1):775–9.
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Vreeman DJ, McDonald CJ. A comparison of Intelligent Mapper and document similarity scores for mapping local radiology terms to LOINC. AMIA Annu Symp Proc [Internet]. 2006 [cited 2010 Jul 28];809–13. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17238453 Download
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Vreeman DJ. Maintaining mappings from source systems in a local health information infrastructure. AMIA Annu Symp Proc. 2006;1131.
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Vreeman DJ, McDonald CJ. Automated mapping of local radiology terms to LOINC. AMIA Annu Symp Proc [Internet]. 2005 [cited 2010 Jul 28];769–73. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16779144 Download