This document compares the core capabilities, strengths, and limitations of OpenAI’s large language models (LLMs) with John Snow Labs’ Medical Terminology Server (TS), focusing on terminology mapping use cases in healthcare...
Assertion status detection is critical in clinical NLP but often overlooked, leading to underperformance in commercial solutions like AWS Medical Comprehend, Azure AI Text Analytics, and GPT-4o. We developed advanced...
In the era of large language models (LLMs)—where generative AI can write, summarize, translate, and even reason across complex documents—the function of data annotation has shifted dramatically. What was once...
Introduction Healthcare organizations are under increasing pressure to improve the accuracy and efficiency of clinical documentation and risk adjustment. With the rise of value-based care, Hierarchical Condition Category (HCC) coding...
Enhancing Risk Adjustment Accuracy and Revenue Integrity with AI-Powered HCC Coding In April, the Centers for Medicare & Medicaid Services (CMS) released its 2026 Medicare Advantage (MA) Rate Announcement, projecting...
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