Code for "Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach"

This code repository accompanies the following publication:

1. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Medical Informatics, Charitéplatz 1, 10117 Berlin, Germany
2. Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Facility Digital Medicine and Interoperability, Charitéplatz 1, 10117 Berlin, Germany
3. Hasso-Plattner-Institute, University of Potsdam, Digital Health - Connected Healthcare, Rudolf-Breitscheid-Straße 187, 14482 Potsdam, Germany
4. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine, Charitéplatz 1, 10117 Berlin, Germany
5. Einstein Center Digital Future, Berlin, Germany

https://doi.org/10.2196/65961