ID

39159

Beschrijving

The Top 300 Dataset (Kerndatensatz Labor) was developed by the Medical Informatics Initiative Germany (MII) and contains frequency-sorted, LOINC-coded analyses of the university clinics in Göttingen, Gießen, Munich, Greifswald and Erlangen. This form shows a detailed description containing primary and secondary LOINC codes of the 300 most common laboratory parameters. For each of the 300 laboratory parameters an itemgroup was created with all accepted variants of the laboratory parameters as items (secondary LOINC codes), the first item being the preferred LOINC variant of the MII (primary LOINC code). The itemgroup title is based on the primary LOINC code. The list is divided into subforms by the associated classes of laboratory parameters. If more than one class, the parameters can be found in the MIXED subform. An overview of the preferred presentation can also be found in the MDM portal (Laboratory Tests (Overview)). https://www.medizininformatik-initiative.de/de/labordaten-in-der-medizininformatik-initiative Explanation of abbreviations for types of specimen and classes/subforms: Type of specimen: Bld = Blood BldA = arterial blood Ser = Serum Plas = Plasma RBC = Red blood cells PPP = Platelet poor plasma Urine sed = Urine sediment CSF = Cerebral spinal fluid Body fld = Body fluid Classes (Subforms): CHEM = Chemistry HEM/BC = Hematology/Blood Cell Count COAG = Coagulation study UA = Urinalysis CELLMARK = Cell markers CLIN = clinical not elsewhere classified DRUG/TOX = drug levels & toxicology SERO = serology MICRO = Microbiology SPEC = Specimen characteristics

Link

https://www.medizininformatik-initiative.de/de/labordaten-in-der-medizininformatik-initiative

Trefwoorden

Versies (7)

1. 02-04-19 02-04-19 -
2. 02-04-19 02-04-19 -
3. 02-04-19 02-04-19 -
4. 03-04-19 03-04-19 -
5. 07-05-19 07-05-19 - Sarah Riepenhausen
6. 07-05-19 07-05-19 - Sarah Riepenhausen
7. 06-12-19 06-12-19 - Sarah Riepenhausen

Houder van rechten

Medical Informatics Initiative Germany

Geüploaded op

6 december 2019

DOI

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