HL7 FHIR Implementation Guide: Glucose Monitoring
1.0.0 - STU1 Belgium flag

HL7 FHIR Implementation Guide: Glucose Monitoring, published by eHealth Platform. This guide is not an authorized publication; it is the continuous build for version 1.0.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-be/glucose-monitoring/ and changes regularly. See the Directory of published versions

Artifacts Summary

Contents:

This page provides a list of the FHIR artifacts defined as part of this implementation guide.

Structures: Logical Models

These define data models that represent the domain covered by this implementation guide in more business-friendly terms than the underlying FHIR resources.

BeModelDiagnosticReportDiabetes
BeModelObservationDiabetes

Structures: Resource Profiles

These define constraints on FHIR resources for systems conforming to this implementation guide.

BeDiagnosticReportDiabetes
BeObservationDiabetes

Terminology: Value Sets

These define sets of codes used by systems conforming to this implementation guide.

BeVSDiabetesObservationCategory

Values to be used in the categorisation of Diabetes observations
BeVSDiabetesObservationCode

Values to be used in the code of Diabetes observations
BeVSDiabetesObservationStatus

Values to be used in the status of Diabetes observations
BeVSDiabetesReportCategory

Values to be used in the categorisation of Diabetes reports
BeVSDiabetesReportCode

Values to be used in the code of Diabetes reports
BeVSDiabetesReportStatus

Values to be used in the status of Diabetes reports

Terminology: Naming Systems

These define identifier and/or code system identities used by systems conforming to this implementation guide.

be-ns-diabetes-device-type

ATTENTION: for information purposes. This table is updated regularly. On the INAMI website - Follow the path Home > Themes > Health care: cost and reimbursement > Diseases > Endocrine and metabolic diseases; you arrive at the page “Diabetes: Our intervention in the cost of a self-management program for children and adolescents” from where - The link entitled “List of equipment for sensor measurement” provides you with the current version of the sensor type with their identification code.
be-ns-diagnostic-report-diabetes
be-ns-observation-diabetes

Example: Example Instances

These are example instances that show what data produced and consumed by systems conforming with this implementation guide might look like.

Use case 5.2

Bundle containing only a pdf, no derived data
Use case 5.2 (Composition)

Index page of the Bundle
Use case 5.2 (Diagnostic Report)

Diagnostic report, containing the pdf
Use case 5.3

Bundle containing pdf and derived data (with/without reference range)
Use case 5.3 (Composition)

Index page of the Bundle
Use case 5.3 (Device)
Use case 5.3 (Diagnostic Report)

Diagnostic report, containing a pdf and references to derived observations
Use case 5.3 (Observation)

Days sensor worn
Use case 5.3 (Observation)

TIR
Use case 5.3 (Observation)

TBR Time below range – very low
Use case 5.3 (Observation)

% Data Captured
Use case 5.3 (Observation)

TBR Time below range - low
Use case 5.3 (Observation)

TAR-High
Use case 5.3 (Observation)

Coefficient of variation
b44fe5d5-f57b-4424-b628-d2baeb447738

TAR-Very high
terminology-expansion