ArticleApplied clinical informatics2020
Data Model Requirements for a Digital Cognitive Aid for Anesthesia to Support Intraoperative Crisis Management.
Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- [Treatment quality with and without an electronic cognitive aid for emergencies in anaesthesia (eGENA) : The DANGER pilot study part 2 in randomized controlled in-situ emergency simulations].Die Anaesthesiologie · 2025Trial
- [Interdisciplinary collaboration between anesthesia and surgery : Which key issues need to be addressed?]Chirurgie (Heidelberg, Germany) · 2026Article
- Correlation between safety attitudes and early adoption of cognitive aids in the German culture sphere: a multicenter survey study.BMC health services research · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveThe aim of this study is to define data model requirements supporting the development of a digital cognitive aid (CA) for intraoperative crisis management in anesthesia, including medical emergency text modules (text elements) and branches or loops within emergency instructions (control structures) as well as their properties, data types, and value ranges.
methodsThe analysis process comprised three steps: reviewing the structure of paper-based CAs to identify common text elements and control structures, identifying requirements derived from content, design, and purpose of a digital CA, and validating requirements by loading exemplary emergency checklist data into the resulting prototype data model.
resultsThe analysis of paper-based CAs identified 19 general text elements and two control structures. Aggregating these elements and analyzing the content, design and purpose of a digital CA revealed 20 relevant data model requirements. These included checklist tags to enable different search options, structured checklist action steps (items) in groups and subgroups, and additional information on each item. Checklist and Item were identified as two main classes of the prototype data model. A data object built according to this model was successfully integrated into a digital CA prototype.
conclusionTo enable consistent design and interactivity with the content, presentation of critical medical information in a digital CA for crisis management requires a uniform structure. So far it has not been investigated which requirements need to be met by a data model for this purpose. The results of this study define the requirements and structure that enable the presentation of critical medical information. Further research is needed to develop a comprehensive data model for a digital CA for crisis management in anesthesia, including supplementation of requirements resulting from simulation studies and feasibility analyses regarding existing data models. This model may also be a useful template for developing data models for CAs in other medical domains.
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Registered trials
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