Lithuanian CVD Implementation Guide
0.0.1 - ci-build Lithuania flag

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

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Official URL: https://hl7.lt/fhir/cvd/ImplementationGuide/lt.hl7.fhir.cvd Version: 0.0.1
Computable Name: LTCvd

Lithuanian Cardiovascular Disease Prevention Implementation Guide

Introduction and purpose

This Implementation Guide specifies how to consistently represent and exchange structured clinical data for the Lithuanian cardiovascular disease (CVD) prevention and early diagnosis programme using the HL7® FHIR® R5 standard.

It supports national ESPBI electronic forms and workflows for the patient CVD risk assessment questionnaire and the CVD prevention measures plan (including follow-up achievement evaluation). The guide enables:

  • comparable, machine-readable risk assessment (e.g. SCORE2) and programme risk group assignment,
  • structured capture of CVD-relevant chronic conditions and risk factors,
  • interoperable prevention plans (targets, lifestyle measures, medication context),
  • and longitudinal exchange as patients move between visits and institutions.

A concise clinical pathway from primary assessment through follow-up is described on the Workflow page.

For programme and business stakeholders

Standardised FHIR resources allow consistent reporting to programme administrators, coordination between primary care and specialists, and alignment with national questionnaire and prevention-plan datasets. Implementers can validate payloads against published profiles and value sets, reducing ambiguity in integrations and registries.

For clinicians

The profiles support structured documentation of cardiovascular risk (numeric estimate and category), heart and vessel disease risk group for programme eligibility and recall, comorbidities that affect CVD risk, modifiable and non-modifiable risk factors, ECG when used in assessment, and individualised prevention plans (e.g. LDL and blood pressure targets, smoking cessation, nutrition, physical activity, weight, and prescribed medication context). Data can be reused at follow-up visits for achievement review.

Scope of this guide (profiles)

This IG defines the following artefacts. Each name links to its definition in this publication.

Need in programme forms Profile / extension
SCORE2-style CVD risk (%) and qualitative risk degree CVDRiskAssessmentLtCvd
Programme risk group for heart and vessel diseases RiskGroupObservationLtCvd
Risk group on CarePlan (extension) RiskGroupExtLtCvd
Accompanying chronic diseases (CVD programme list) CvdChronicConditionLtCvd
Risk factors (structured status / count) RiskFactorStatusLtCvd
CVD prevention and screening care plan CarePlanLtCvd
ECG finding in assessment context EKGLtCvd

Terminology (value sets and code systems used by these profiles) is published under this guide and tx.hl7.lt; see the Artifacts index.

Relationship to other Lithuanian IGs

Demographics, practitioner, organisation, and encounter patterns use LT Base profiles where applicable. Vital signs (e.g. blood pressure, weight, height, BMI), laboratory results (lipids, glucose, HbA1c), and lifestyle observations (smoking, alcohol, physical activity, diet) are modelled in LT VitalSigns, LT Lab, and LT Lifestyle respectively. This CVD IG focuses on programme-specific risk stratification, conditions, risk factors, plans, and ECG—not on redefining those base measurements.

Why use this guide?

  1. Interoperability: Same semantics for CVD questionnaire and prevention-plan data across EHRs and national systems.
  2. Data quality: Required bindings and profiles improve completeness and comparability of programme data.
  3. Clinical utility: Supports decision support, recall by risk group, and structured follow-up evaluation.

See Workflow for the end-to-end pathway. Use Artifacts for the full list of profiles, extensions, terminology, and examples.

IP Statements

Contributors

Name Role Organization
Kati Laidus Co-Author HELEX Solutions
Igor Bossenko Co-Author HELEX Solutions
Martynas Bieliauskas Co-Author LMB
Audra Stepanauskaite Co-Author LMB
Albert Kušlevič Co-Author LMB