Dataset for "Understanding Respiratory Alarm Management in the Intensive Care Unit: A Computer Method to Annotate Oxygen Saturation Alarms"

Chromik and Flint et al. (2023) (under review) propose an algorithm that uses clinical alarm logs, an annotation guideline (Klopfenstein et al. 2023), and routinely collected intensive care data to create a data set of relevance-annotated oxygen saturation alarms. We provide the algorithm's source code and data set of annotated oxygen saturation alarms as supplementary material to the publication. The algorithm's implementation is open-source and can be re-used on similar data sets. The data set suggests that the majority of oxygen saturation alarms in the intensive care unit is non-actionable. We are the first to provide such an extensive data set of annotated oxygen saturation alarms.