Computer-Interpretable Quality Indicators for Intensive Care Medicine: Development and Validation Study

Area of Science:

• Health Informatics
• Clinical Quality Measurement
• Standardization in Healthcare

Background:

• Quality indicators (QIs) are crucial for assessing and improving intensive care medicine.
• The German Interdisciplinary Association of Critical Care and Emergency Medicine (DIVI) developed QIs for intensive care.
• Current technical implementation variability hinders comparable quality assessments across facilities.

Purpose of the Study:

• To develop unambiguous, computer-interpretable representations of DIVI QIs using Fast Healthcare Interoperability Resources (FHIR).
• To establish a replicable process for translating narrative QIs into standardized digital formats.

Main Methods:

• Decomposed DIVI QIs into patient population and care aspect concepts.
• Mapped concepts to international vocabularies, creating a supplementary code system for missing terms.
• Implemented QIs in FHIR using a previously developed implementation guide.
• Validated FHIR representations through back-translation and expert clinical review.

Main Results:

• Successfully translated 10 DIVI QIs into 31 measurable indicators (9 structural, 17 process, 5 outcome).
• All process and outcome indicators were represented in FHIR, utilizing 58 unique medical concepts (90% mapped to international vocabularies).
• Standard FHIR mechanisms fully supported nested Boolean logic and temporal conditions, with expert panel approval of accuracy.

Conclusions:

• A structured process enables unambiguous, computer-interpretable QI representation for automated quality management.
• Standardized digital QIs can enhance quality assessment comparability across healthcare facilities.
• The developed process and FHIR representations are available for reuse and can serve as a blueprint for other medical specialties.