https://shin13.github.io/tags/order-sets/Recent content in Order Sets on Shin LiHugoen-USShin LiWed, 06 May 2026 04:22:36 +0800https://shin13.github.io/notes/optimizing-order-sets-with-large-language-model-powered-multiagent-system/Tue, 18 Nov 2025 09:42:00 +0800https://shin13.github.io/notes/optimizing-order-sets-with-large-language-model-powered-multiagent-system/<h2 id="paper-overview">Paper Overview</h2> <p><strong>Title:</strong> Optimizing Order Sets With a Large Language Model–Powered Multiagent System</p> <p><strong>Authors:</strong> Liu S, Huang SS, McCoy AB, Wright AP, Horst S, Wright A</p> <p><strong>Journal:</strong> JAMA Network Open</p> <p><strong>Year:</strong> 2025</p> <p><strong>DOI:</strong> <a href="https://doi.org/10.1001/jamanetworkopen.2025.33277">https://doi.org/10.1001/jamanetworkopen.2025.33277</a></p> <h2 id="why-this-paper">Why This Paper?</h2> <p>I read this paper because it sits at the intersection of clinical pharmacy, healthcare workflow, and practical AI systems.</p> <ul> <li>Relevant to clinical decision support and order-set maintenance</li> <li>Uses a multiagent LLM design instead of a single-model prompt</li> <li>Shows the gap between factual correctness and actual clinical usefulness</li> <li>Offers a good example of expert alignment in a high-stakes domain</li> </ul> <p>This article is a cleaned-up conversion of my original blog post into the site’s Notes format.</p>