This page is part of the MII Implementation Guide PRO (v2027.0.0-ballot.1: 2027 Ballot 5) based on FHIR (HL7® FHIR® Standard) R4. This is the current published version in its permanent home (it will always be available at this URL). For a full list of available versions, see the Directory of published versions

Logical Models

The logical data model of the PRO module describes the domain dataset independently of its concrete FHIR representation — the shape a clinician or study designer thinks in, before profiles enter the picture.

The model

MII_LM_PRO structures the domain into four top-level groups, mirroring the module's core workflow:

Group	Cardinality	Becomes in FHIR
Fragebogen — the instrument: name, abbreviation, version, internal ID, item bank with codings, answer scales	1..*	Questionnaire
AusgefuellterFragebogen — a completed instance: answers, subject, timing	0..*	QuestionnaireResponse
Score — computed values: raw scores, T-scores, reference ranges	0..*	Observation + ObservationDefinition
Domaene — classification by health domain (depression, HRQoL, …)	0..*	the domain codings

Element names are deliberately German — the model is the shared language with the clinical domain experts; the FHIR mapping to the English resource world is carried by the model's own mapping section and realised by the profiles.

How to read it

• The artifact page renders the full element tree with cardinalities, types and definitions.
• The UML diagrams show the same model graphically, including the workflow views.
• Datasets and Descriptions connects the model to the per-instrument datasets.

The logical model is documentation-first: implementers validate against the profiles, not against the model.