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International Conference on Information and Software Technologies

ICIST 2015: Information and Software Technologies pp 37–44Cite as

Using Semi-automated Approach for Mapping Local Russian Laboratory Terms to LOINC

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 538))

Abstract

Manual mapping of laboratory data to Logical Observation Identifiers Names and Codes (LOINC) requires a major effort. Application of the LOINC mapping assistant RELMA V.6.6 can reduce the effort required for mapping. The goal of the paper s to study the potential of semi-automated mapping of Russian laboratory terms to LOINC.

We performed semi-automated mapping of the 2563 terms from two clinics in Russia. The first step was automatic mapping using RELMA V.6.6 and LOINC V.2.48 Russian translation by Yaroslavl state medical academy. The second step was a manual expert mapping.

To evaluate the correctness of mapping we randomly selected 50 of the most commonly (from the first 20 %) and 50 of the most rarely (from the last 20 %) used terms from each clinic (in total 200 terms from each clinic). This sample of 200 terms was reviewed by two experts. The paper presents the results of semiautomatic mapping of Russian laboratory terms to LOINC. Two clinics (A and B) and a laboratory service participated in the project. We were able to map 86 % (Clinic A) and 87 % (Clinic B) of laboratory terms and 99 % of terms used in 2014. In total 2372 out of 2563 were mapped.

The required effort was reasonable and the price of mapping and maintenance was considered as relatively low in comparison to manual methods.

RELMA V.6.6 and LOINC V.2.48 offer the opportunity of a low effort LOINC mapping even for non-English languages. The study proved that the mapping effort is acceptable and mapping results are on the same level as the manual mapping.

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References

  1. Zhou, Q., He, J., Liu, J.: A study on the LIS and HIS integration. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 25(6), 1294–1298 (2008)

    Google Scholar 

  2. Dixon, B.E., McGowan, J.J., Grannis, S.J.: Electronic laboratory data quality and the value of a health information exchange to support public health reporting processes. AMIA Annu. Symp. Proc. 2011, 322–330 (2011)

    Google Scholar 

  3. Were, M.C., Meeks-Johnson, J., Overhage, J.M.: Enhanced laboratory reports: using health information exchange data to provide contextual information to laboratory results for practices without electronic records. AMIA Annu. Symp. Proc. 1174 (2008)

    Google Scholar 

  4. Kopanitsa, G.: Mapping Russian laboratory terms to LOINC. Stud. Health Technol. Inform. 210, 379–383 (2015)

    Google Scholar 

  5. Hood, F.J.: Coding according to local medical review policy. South. Med. J. 94(11), 1104–1106 (2001)

    Article  Google Scholar 

  6. Wilson, P.S., Scichilone, R.A.: LOINC as a data standard: how LOINC can be used in electronic environments. J. AHIMA 82(7), 44–47 (2011)

    Google Scholar 

  7. Vreeman, D.J., McDonald, C.J., Huff, S.M.: LOINC® - a universal catalog of individual clinical observations and uniform representation of enumerated collections. Int. J. Funct. Inform. Personal. Med. 3(4), 273–291 (2010)

    Google Scholar 

  8. Co Jr., M.C., et al.: Using the LOINC semantic structure to integrate community-based survey items into a concept-based enterprise data dictionary to support comparative effectiveness research. Nurs. Inform. 2012, 88 (2012)

    Google Scholar 

  9. Forrey, A.W., et al.: Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results. Clin. Chem. 42(1), 81–90 (1996)

    Google Scholar 

  10. Vreeman, D.J., et al.: Enabling international adoption of LOINC through translation. J. Biomed. Inform. 45(4), 667–673 (2012)

    Article  Google Scholar 

  11. Kawada, T.: Sample size in receiver-operating characteristic (ROC) curve analysis. Circ. J. 76(3), 768 (2012). author reply 769

    Article  Google Scholar 

  12. Berry, K.J., Johnston, J.E., Mielke Jr., P.W.: Weighted kappa for multiple raters. Percept. Mot. Skills 107(3), 837–848 (2008)

    Article  Google Scholar 

  13. Zunner, C., et al.: Mapping local laboratory interface terms to LOINC at a German university hospital using RELMA V. 5: a semi-automated approach. J. Am. Med. Inform. Assoc. 20(2), 293–297 (2013)

    Article  Google Scholar 

  14. Lin, M.C., et al.: A characterization of local LOINC mapping for laboratory tests in three large institutions. Methods Inf. Med. 50(2), 105–114 (2011)

    Article  Google Scholar 

  15. Khan, A.N., et al.: The map to LOINC project. AMIA Annu. Symp. Proc. 890 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Tomsk Polytechnic University, Lenina 30, Tomsk, Russia

    Georgy Kopanitsa & Maxim Taranik

  2. Tomsk State University for Architecture and Building, Tomsk, Russia

    Georgy Kopanitsa

Authors
  1. Georgy Kopanitsa
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  2. Maxim Taranik
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Corresponding author

Correspondence to Georgy Kopanitsa .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damasevicius

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Kopanitsa, G., Taranik, M. (2015). Using Semi-automated Approach for Mapping Local Russian Laboratory Terms to LOINC. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2015. Communications in Computer and Information Science, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-24770-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-24770-0_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24769-4

  • Online ISBN: 978-3-319-24770-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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