Validation of a common data model for active safety surveillance research.
Systematic analysis of observational medical databases for active safety surveillance is hindered by the variation in data models and coding systems. Data analysts often find robust clinical data models difficult to understand and ill suited to support their analytic approaches. Further, some models do not facilitate the computations required for systematic analysis across many interventions and outcomes for large datasets. Translating the data from these idiosyncratic data models to a [...]
Author(s): Overhage, J Marc, Ryan, Patrick B, Reich, Christian G, Hartzema, Abraham G, Stang, Paul E
DOI: 10.1136/amiajnl-2011-000376