Syrona: Visual Analytics for Systematic Comparison of Health Datasets on the OMOP Common Data Model
Pajusalu, M.; Oja, M.; Mooses, K.; Heinsar, S.; Laisk, T.; Tillmann, T.; Laur, S.; Reisberg, S.; Vilo, J.; Kolde, R.
Show abstract
Health research increasingly relies on observational datasets that capture systematically different patient populations, affecting the representativeness, comparability, and transportability of study findings. Yet these differences are rarely quantified across clinical domains or explored interactively, and the workflow for pairwise dataset comparison remains fragmented. We present Syrona, a visual analytics workflow for systematic pairwise comparison of datasets and subcohorts on the OMOP Common Data Model. Syrona extracts annual prevalence for conditions, procedures, and drugs from any OMOP CDM database, computes prevalence ratios across demographic strata, and synthesizes them via multilevel meta-analysis. A coordinated dashboard - distributional overviews, stratified heatmaps, forest plots, and absolute prevalence comparisons - enables interactive exploration driven by domain-adaptive SNOMED CT and ATC filtering. Three case studies on Estonian national health data (495,000 persons, 2012-2024) demonstrate how the workflow supports representativeness assessment, institutional practice comparison, and coding artifact detection. Syrona is open-source and applicable to any OMOP CDM database. Explore the demo at: http://omop-apps.cloud.ut.ee/ShinyApps/Syrona/
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