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ABSTRACT: Background
Effective clinical decision support systems require accurate translation of practice recommendations into machine-readable artifacts; developing code sets that represent clinical concepts are an important step in this process. Many clinical coding systems are currently used in electronic health records, and it is unclear whether all of these systems are capable of efficiently representing the clinical concepts required in executing clinical decision support systems.Objective
The aim of this study was to evaluate which clinical coding systems are capable of efficiently representing clinical concepts that are necessary for translating artifacts into executable code for clinical decision support systems.Methods
Two methods were used to evaluate a set of clin
SUBMITTER: Delvaux N
PROVIDER: S-EPMC7641774 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature