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Published January 6, 2023 | Version 1.0

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

  • 1. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Medical Informatics; Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Core Facility Digital Medicine and Interoperability
  • 2. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Medical Informatics
  • 3. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine
  • 4. Hasso Plattner Institute, University of Potsdam, Digital Health - Connected Healthcare
  • 5. Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Medical Informatics; Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anesthesiology and Intensive Care Medicine

Description

Studies identified false and non-actionnable alarms as a factor for alarm fatigue in intensive care units.

To annotate patient alarms, and analyse the alarm situation in intensive care units, we conceptualized and performed data mappings related to airway management and medication interventions. The mappings were based on information retrieved from the patient data management system (PDMS) and clinical expertise. For the airway management mappings, we used additional resources such as ISO 19223:2019 or ventilator instruction manuals. The mappings do not include patient data.

As the mappings are generic, they could be used in other contexts than alarm annotation.

1. Airway Management Mappings:

  • Tables including PDMS entries for airway devices (ADs), ventilation devices (VDs), and ventilation modes (VMs)

  • Mapping of AD entries (from the PDMS) to defined categories

  • Mapping of VDs, VMs, and ADs to defined respiratory support therapies, including information on invasiveness

  • Table specifying suitable ventilation parameters in the context of each respiratory support therapy

2. Medication Mappings:

  • General tables providing information on physiological alarm conditions (PACs), interventions, routes, and techniques of administration of interest

  • Mapping of routes of administration to techniques of administration including PDMS entries

  • Mapping of active ingredients, related PDMS information, and routes and techniques of administration to defined PACs and interventions

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Additional details

Related works

Is supplement to
Journal article: 10.2196/65961 (DOI)

Funding

Federal Ministry of Education and Research
16SV8559