Category
Supplementary Resource
Organisation
Type
Standard
Version
1.1
Access
Open
Status
Active
Created
Dec 2021
This document describes how to use Clinical Quality Language (CQL) to extract health-related indicators from data in HL7’s Fast Healthcare Interoperability Resources (FHIR). These indicators can be used to monitor and evaluate health system performance, contribute to public health monitoring and track the effectiveness of investments by global donors.
The document outlines how implementers, including software developers, business analysts and informaticists, may use these technologies in conjunction with appropriate IHE profiles. De-identification is beyond the scope of the paper.
Main sections:
· Purpose and intended audience
· Patterns and architecture
· Use cases: HIV, immunisation, family planning, health workforce, COVID-19
· Appendix A: Data sharing specifications and example FHIR artefacts
· Appendix B: FHIR maturity model
The document outlines how implementers, including software developers, business analysts and informaticists, may use these technologies in conjunction with appropriate IHE profiles. De-identification is beyond the scope of the paper.
Main sections:
· Purpose and intended audience
· Patterns and architecture
· Use cases: HIV, immunisation, family planning, health workforce, COVID-19
· Appendix A: Data sharing specifications and example FHIR artefacts
· Appendix B: FHIR maturity model
Access IHE Quality Research and Public Health (QRPH) White Paper – Extracting Indicators from Person Level Data
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