Modeling Bounded Rationality in Drug Shortage Pharmacists Using Attention-Guided Dynamic Decomposition · DeepSignal
Modeling Bounded Rationality in Drug Shortage Pharmacists Using Attention-Guided Dynamic Decomposition arXiv cs.AI · Yaniv Eliyahu Amiri, Noah Chicoine, Jacqueline Griffin, Stacy Marsella 2d ago · · · · A new framework helps pharmacists prioritize drug shortages using attention-guided decision-making.
Key Points Pharmacists focus on urgent drugs under pressure. Two agents: Expert and Learner for decision-making. Attention-guided strategies simplify complex problems. Reader Mode unavailable (could not extract clean content).
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Moderate signal — interesting but narrower impact.
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Source authority 20% 80
Community heat 20% 0
Technical impact 30%
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≥75 high · 50–74 medium · <50 low
Why Featured
This framework enhances decision-making for pharmacists, signaling a need for AI tools that improve operational efficiency in healthcare settings, which is crucial for developers and investors in health tech.