Reasoning about Medical Triage Optimization with Logic Programming

We present a logic programming framework that orchestrates multiple variants of an optimization problem and reasons about their results to support high-stakes medical decision-making. The logic programming layer coordinates the construction and evaluation of multiple optimization formulations, translating solutions into logical facts that support further symbolic reasoning and ensure efficient resource allocation -- specifically targeting the "right patient, right platform, right escort, right time, right destination" principle. This capability is integrated into GuardianTwin, a decision support system for Forward Medical Evacuation (MEDEVAC), where rapid and explainable resource allocation is critical. Through a series of experiments, our framework demonstrates an average reduction in casualties by 35.75% compared to standard baselines. Additionally, we explore how users engage with the system via an intuitive interface that delivers explainable insights, ultimately enhancing decision-making in critical situations. This work demonstrates how logic programming can serve as a foundation for modular, interpretable, and operationally effective optimization in mission-critical domains.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2026-01-08
DOI
https://doi.org/10.4204/eptcs.439.22
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00
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article

Reasoning about Medical Triage Optimization with Logic Programming

Anson E. Chapman, Paulo Shakarian, John Chapman, Jaikrishna Manojkumar Patil et al.
Electronic Proceedings in Theoretical Computer Science
Logic, Reasoning, and Knowledge
article

Reasoning about Medical Triage Optimization with Logic Programming

Anson E. Chapman, Paulo Shakarian, John Chapman, Jaikrishna Manojkumar Patil, Richard Knuszka
article en

Abstract

We present a logic programming framework that orchestrates multiple variants of an optimization problem and reasons about their results to support high-stakes medical decision-making. The logic programming layer coordinates the construction and evaluation of multiple optimization formulations, translating solutions into logical facts that support further symbolic reasoning and ensure efficient resource allocation -- specifically targeting the "right patient, right platform, right escort, right time, right destination" principle. This capability is integrated into GuardianTwin, a decision support system for Forward Medical Evacuation (MEDEVAC), where rapid and explainable resource allocation is critical. Through a series of experiments, our framework demonstrates an average reduction in casualties by 35.75% compared to standard baselines. Additionally, we explore how users engage with the system via an intuitive interface that delivers explainable insights, ultimately enhancing decision-making in critical situations. This work demonstrates how logic programming can serve as a foundation for modular, interpretable, and operationally effective optimization in mission-critical domains.

Electronic Proceedings in Theoretical Computer ScienceVol. 439
Openalex Percentile: Top 100%
Logic, Reasoning, and Knowledge
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