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From Authoring to Evaluating an Electronic Health Quality Measure – Applying Logic to FHIR® with CQL for Calculating Immunization Coverage
Anna M. Lin, Anja Schwab, Reza Abolhassni, Stephan Winkler
12 - 17
10.3233/SHTI230004
Research Article
Studies in Health Technology and Informatics
Volume 301: dHealth 2023
Abstract

Background:

Current monitoring and evaluation methods challenge the healthcare system. Specifically for the use case of immunization coverage calculation, person-level data retrieval is required instead of inaccurate aggregation methods. The Clinical Quality Language (CQL) by HL7®, has the potential to overcome current challenges by offering an automated generation of quality reports on top of an HL7® FHIR® repository.

Objectives:

This paper provides a method to author and evaluate an electronic health quality measure as demonstrated by a proof-of-concept on immunization coverage calculation.

Methods:

Five artifact types were identified to transform unstructured input into CQL, to define the terminology, to create test data, and to evaluate the new quality measures.

Results:

CQL logic and FHIR® test data were created and evaluated by using the different approaches of manual evaluation, unit testing in the HAPI FHIR project, as well as showcasing the functionality with a developed user interface for immunization coverage analysis.

Conclusion:

Simple, powerful, and transparent evaluations on a small population can be achieved with existing open-source tools, by applying CQL logic to FHIR®.

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