Supporting Emergency Department Risk Mitigation with a Modular and Reusable Agent-Based Simulation Infrastructure.

Modellierung(2024)

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Abstract
For emergency departments (EDs) to maintain sustainable care of patients, hospital management must continually explore potential interventions to clinical practice. Agent-based modelling (ABM) can be a valuable tool to support this planning in a controlled environment. Existing approaches to ABM development are best suited for one-off models. However, conditions in EDs can change frequently, making the use of one-off models infeasible. Decision-makers must be able to trust simulations appropriately for them to be effective in intervention exploration. Domain-specific modelling languages (DSMLs) can address these challenges by offering a reusable library of appropriately abstract, domain-familiar, modelling concepts across case studies and automatic translation of these concepts into executable models. In this paper, we present a DSML to support repeated modelling exercises in the ED domain and illustrate the use and reuse of this DSML across two concrete case studies in London-based NHS emergency departments.
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Key words
Multi-agent,Language Model,Real-world Data,Confirmatory Testing,Group A Streptococcus,Domain Experts,Waiting Room,Key Performance Indicators,Selection Rules,Lateral Flow Assay,Cubicle,Senior Doctors,Senior Clinicians,Refactoring,Conceptual Language,Laboratory-based Testing,Parameter Sweep,King’s College Hospital,Conditional Statements,Length Of Stay For Patients,Parse Tree,Abstract Syntax,Healthcare Domain,Daylight Hours,Type Of Test,Length Of Stay,Arrival Rate,Rest Of The Models
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