MII IG Laborbefund
2027.0.0-ballot -
Germany
MII IG Laborbefund - Local Development build (v2027.0.0-ballot) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
Laboratory tests are central to most medical diagnoses. Preliminary results can matter for time-critical applications, while final results are normally used for patient care and research alike. The central document this module represents is the laboratory report produced by a medical laboratory. Because the module is broadly applicable, it does not prescribe consortium-specific scenarios.
If you are new to the MII Core Dataset, we recommend exploring the following resources:
1. Logical Models — Understanding Module Content
The Logical Models provide a high-level, technology-independent description of the data this module covers:
They let you understand the scope and structure of the available data without knowing the FHIR details.
2. UML Diagrams — Visualizing Data Relationships
The UML Diagrams show how the elements relate to one another. They are particularly useful for:
3. Examples — Seeing FHIR Data in Practice
The Examples show samples of the FHIR resources, among them a quantitative result, an excretion rate with a composed unit, a result given as a range, and a test carrying no value at all. They demonstrate:
4. Domain Guidance — What to Watch Out for in an Analysis
Three subjects decide whether laboratory data is read correctly: