I Work in Healthcare Tech. Here's Why I Built a RAG Tool for Clinical Documents.
Monika Sonnad Math, a senior software developer in healthcare technology, created a Retrieval-Augmented Generation (RAG) tool to improve navigation through clinical documents. The tool aims to enhance accuracy in retrieving critical information, avoiding the pitfalls of AI models that may generate incorrect answers. By focusing on deterministic responses and grounding answers in actual document content, the tool addresses a significant inefficiency in healthcare workflows.
- ▪Monika Sonnad Math built a RAG tool to solve navigation issues in clinical documents.
- ▪The tool emphasizes accuracy by ensuring responses are based solely on document content.
- ▪RAG stands for Retrieval-Augmented Generation, which retrieves relevant document sections before generating answers.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3966298) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Monika Sonnad Math Posted on Jun 3 I Work in Healthcare Tech. Here's Why I Built a RAG Tool for Clinical Documents. #ai #programming #python #rag I didn't set out to build a RAG application. I set out to solve an annoying problem I kept watching happen. I work as a senior software developer in healthcare technology in Belfast. A big part of that job is understanding what actually slows them down, and figuring out where software can help.
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