Lithuanian CVD Implementation Guide, published by Lithuanian Medical Library. This guide is not an authorized publication; it is the continuous build for version 0.0.1 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7LT/ig-lt-cvd/ and changes regularly. See the Directory of published versions

CVD Report

CVD programme report (DiagnosticReport + Composition)

This page describes how one coherent programme record for Lithuanian CVD prevention and early diagnosis can be represented using a DiagnosticReport linked to a Composition, following the same document anchor idea as imaging and pathology in other national IGs: the report lists structured Observation results; the composition groups human-readable sections and references to Conditions, CarePlans, and follow-up measurements.

Roles of the resources

• CvdReportLtCvd — DiagnosticReport specialised for the programme. It carries identifiers, status, effective time, author, and a result list of Observation resources that belong to this report (SCORE2, risk group, EKG, follow-up LDL and BP, etc.). It points to exactly one CvdCompositionLtCvd for the narrative document.
• CvdCompositionLtCvd — Composition with three fixed sections: assessment (questionnaire-aligned findings), prevention plan (typically a CarePlan), and achievement evaluation (follow-up observations). Conditions and CarePlans appear as section.entry references, not in DiagnosticReport.result, because the base diagnostic report profile constrains result to Observation.

This separation keeps interpretation and measurements in Observations while the composition supplies the document structure expected for exchange and rendering in ESPBI-style workflows.

Examples in this IG

• DiagnosticReport: CVD programme report (example)
• Composition: CVD programme document (example)

Together they reference the same patient example as other CVD instances and align with the workflow steps for risk stratification, planning, and follow-up.

Cross-IG measurements (published CI Build)

Raw vital signs and lifestyle data are usually profiled in LT VitalSigns and LT Lifestyle. For integration testing and documentation, published examples on the FHIR CI build include:

• Blood pressure — Observation: Blood Pressure (example)
• Body height — Observation: Body Height (example)
• Tobacco use — Observation: Smoking Status - Current Smoker (example)
• Alcohol — Observation: Alcohol Consumption – No (example)

Laboratory results (lipids, glucose, creatinine, etc.) are typically expressed with LT Lab observation profiles; link those resources from the assessment section when building a full programme record.