Approved Research

Advancing Cardiovascular Risk Identification with Structured Clinical Documentation and Biosignal Derived Phenotypes Synthesis (ACRIBiS)

Lay summary

Personalized risk assessment is recommended in cardiovascular medicine guidelines. Scores are often used to individually adapt prevention, diagnosis and treatment. However, the implementation of this risk assessment in everyday clinical practice in Germany is inadequate due to major obstacles: the lack of relevant structured information; inadequately standardized and incomplete storage in electronic health records; Lack of interfaces and data linkage to enable rapid assessment and ultimately visualization. The same applies to high-resolution biosignal analysis, which represents an important untapped resource for risk assessment. We are researching novel concepts to combine score and biosignal-based risk analyzes and define their predictive performance in real clinical settings.