Version 2.0

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

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Klopfenstein, Sophie Anne Inès;Flint, Anne Rike;Heeren, Patrick;Prendke, Mona;Chaoui, Amin;Ocker, Thomas;Chromik, Jonas;Arnrich, Bert;Balzer, Felix;Poncette, Akira-Sebastian

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 and research.1. Respiratory Management Mappings:General tables summarizing the 1) categories based on ISO 19223:2019 to describe respiratory support therapies (RSTs), 2) defining the invasiveness level of a RST and 3) listing the abbreviations used in the mappingsTables including PDMS entries for airway devices (ADs), ventilation devices (VDs), and ventilation modes (VMs)Mapping of AD entries (from the PDMS) to defined categoriesMapping of VDs, VMs, and ADs to defined RSTs, including information on invasivenessTable specifying suitable ventilation parameters in the context of each RST2. Medication Mappings:General tables providing information on physiological alarm conditions (PACs), interventions, routes, and techniques of administration of interestMapping of routes of administration to techniques of administration including PDMS entriesMapping of active ingredients (including SNOMED CT Fully Specified Names and Identifiers), related PDMS information, and routes and techniques of administration to defined PAC and interventions

Citations (1)

Mentions (0)

Metrics

Dataset Index

1.9

FAIR Score

73%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Radiology, Nuclear Medicine and Imaging

Field

Medicine

Domain

Health Sciences

Confidence Score

44%

Source

Scholar Data Model

Keywords

alarm managementClinical Alarmsalarm fatiguealarm informativenesspatient monitoringdataset annotationIntensive Care UnitsMachine Learningtechnological innovationPatient-Centered CareDigital Healthtransdisciplinary research

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00