Airway and Medication Mappings for ICU Alarm Annotation

Sophie Anne Inès Klopfenstein from Humboldt-Universität zu Berlin created this dataset of structured mappings for annotating and analyzing alarms in intensive care units. The mappings, which do not include patient data, are based on information from patient data management systems, clinical expertise, and standards like ISO 19223:2019. They cover respiratory support therapies, airway devices, ventilation modes, and medication interventions linked to physiological alarm conditions.

Use Cases

• Annotating patient alarms with actionability data based on defined respiratory support therapy categories.
• Mapping clinical device and medication entries from a PDMS to standardized intervention categories for research.
• Analyzing the relationship between specific ventilation parameters and defined physiological alarm conditions.
• Developing rule-based systems to filter non-actionable ICU alarms using structured medication and airway mappings.

Strengths

• Mappings are based on clinical expertise and integrate international standards like ISO 19223:2019.
• Includes structured links to medical terminologies, such as SNOMED CT identifiers for active ingredients.
• Designed to be generic and reusable beyond the original alarm annotation context.

Limitations

• Key metadata such as row count, column names, and specific file formats are unknown across all sources.
• The dataset contains no patient data, limiting its use for direct clinical prediction modeling.
• The last update date is not provided, so the freshness of the mappings is unclear.

Provenance

Source

Humboldt-Universität zu Berlin (Sophie Anne Inès Klopfenstein)

Collection Method

Conceptualized and performed data mappings based on information from a Patient Data Management System (PDMS), clinical expertise, and external resources like ventilator manuals.