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. 2022 Jul 7;29(9):1449–1460. doi: 10.1093/jamia/ocac063

Table 2.

Feature matrix comparing applications and representations used for EHR-driven phenotyping

Strategy
Manual
Common data models
Formal representations
Formal logic environments
Next generation tools
Tool SQL OHDSI i2b2 HQMF CDS KAS Arden Syntax Drools KNIME Phenoflow PhEMA Workbench
Application Feature
Authoring environment
Testing environment
Publishing to central repository
Importing from repository (manual)
Multiple execution targets
Automated execution
No data preparation required
Representation Formal standards-based definitions (optional) (optional)
Healthcare standards-based definitions (optional) (optional)
Platform-agnostic definitions
Human-readable definitions

OHDSI: Observational Health Data Sciences and Informatics; i2b2: Informatics for Integrating Biology & the Bedside; HQMF: Health Quality Measure Format; CDS KAS: Clinical Decision Support Knowledge Artifact Specification; KNIME: Konstanz Information Miner; PhEMA: Phenotype Execution Modeling Architecture.