@inproceedings{FiebeckGietzeltBalloutetal.2019,
  author    = {Fiebeck, Johanna and Gietzelt, Matthias and Ballout, Sarah and Christmann, Martin and Fradziak, Maikel and Laser, Hans and Ruppel, Julia and Sch{\"o}nfeld, Norman and Teppner, Sonja and Gerbel, Svetlana},
  title     = {Implementing LOINC - Current Status and Ongoing Work at a Medical University},
  booktitle = {German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine (Studies in Health Technology and Informatics ; 267)},
  isbn      = {978-1-64368-017-0},
  doi       = {10.25968/opus-3077},
  institution = {Fakult{\"a}t III - Medien, Information und Design},
  pages     = {59 -- 65},
  year      = {2019},
  abstract  = {The Logical Observation Identifiers, Names and Codes (LOINC) is a common terminology used for standardizing laboratory terms. Within the consortium of the HiGHmed project, LOINC is one of the central terminologies used for health data sharing across all university sites. Therefore, linking the LOINC codes to the site-specific tests and measures is one crucial step to reach this goal. In this work we report our ongoing efforts in implementing LOINC to our laboratory information system and research infrastructure, as well as our challenges and the lessons learned. 407 local terms could be mapped to 376 LOINC codes of which 209 are already available to routine laboratory data. In our experience, mapping of local terms to LOINC is a widely manual and time consuming process for reasons of language and expert knowledge of local laboratory procedures.},
  subject      = {Terminologie},
  language  = {en}
}