BRIDG-based Trial Metadata Repository - Need for Standardized Machine Interpretable Trial Descriptions

Making information about clinical trials accessible in a machine interpretable way could aid applications both in clinical care and clinical research, such as patient screening, trial recruitment, trial meta-analysis, trial duplication detection and clinical decision support. We present our standards-based trial metadata repository that captures structured trial information and application-specific formalisms and execution logic supporting a range of relevant applications, with a focus on interoperability and machine interpretability to enable more efficient support for clinical research and faster knowledge transfer into care, We further exemplify the use of the Trial Metadata Repository for a patient screening application for clinical trials. Additionally, the mechanisms are described to manage the information model of the repository when the scope is enlarged to additional contexts.