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The Next Generation Of Medical AI: Exploring Safe and Accurate Innovation In Healthcare
In recent years, natural language processing (NLP) has shown potential in decoding complex medical language for various healthcare applications. However, challenges persist in extracting structured data from unstructured electronic health record (EHR) data, hindering its effectiveness. Dr. Tim O’Connell and Anoop Sarkar of emtelligent address these challenges by leveraging Large Language Models (LLMs) to enhance NLP accuracy. Their collaborative effort culminates in emtelliPro+, a next-generation medical AI platform designed to provide actionable insights for healthcare teams. This innovative solution aims to improve decision-making across various healthcare stakeholders and advance patient care. emtelliPro+ will be unveiled at HIMSS24, marking a significant step towards safer and more accurate collaboration between technology and healthcare professionals.
Medigy Insights
Recent advancements in natural language processing (NLP) promise to revolutionize healthcare by enabling the extraction of critical insights from patient records. However, existing NLP solutions face challenges in accurately interpreting unstructured electronic health record (EHR) data. Dr. Tim O’Connell and Anoop Sarkar of emtelligent aim to address these limitations with their innovative approach leveraging Large Language Models (LLMs). Their collaborative effort has led to the development of emtelliPro+, a next-generation medical AI platform poised to transform decision-making and enhance patient care. emtelliPro+ will be unveiled at HIMSS24, heralding a new era of safe and accurate collaboration between technology and healthcare professionals.
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