摘要
由一名新闻记者兼机器人与机器学习每日新闻的新闻编辑-一项关于人工智能的新研究现在可用。根据NewsRx记者来自俄亥俄州坎顿市的新闻报道，研究表明，"医疗保健中的人工智能(AI)是计算机执行通常与临床护理相关的任务的能力（如医疗决策和文档）。人工智能很快将整合到越来越多的医疗保健应用程序中，包括急诊科(ED)护理的元素。"我们的新闻编辑从U.S. Acute Care Solutio NS的研究中获得了一句话，“在这里，我们描述了人工智能的基础，它的各种功能类别（包括机器学习和自然语言处理），并回顾了正在出现的和未来潜在的紧急护理用例。例如，人工智能辅助的Sympto M Checkers可以帮助指导病人到适当的环境，模型可以帮助分配环境人工智能系统可以记录临床遭遇。人工智能还可以帮助提供重点突出的图表摘要，总结交接时的电子计数器，并用适当的语言和阅读水平创建出院指令。其他使用案例包括决策规则的医疗决策，预测临床恶化或SEPS IS的实时模型，以及高效提取非结构化数据，用于编码、计费、研究和质量倡议。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Artificial Intelligence is now available. According to news reporting originating from Canton, Ohio, by NewsRx correspondents, research stated, “Artificial intelligence (AI) in health care is the ability of a computer to perform tasks typically associated with cli nical care (e.g. medical decision-making and documentation). AI will soon be int egrated into an increasing number of healthcare applications, including elements of emergency department (ED) care.” Our news editors obtained a quote from the research from U.S. Acute Care Solutio ns, “Here, we describe the basics of AI, various categories of its functions (in cluding machine learning and natural language processing) and review emerging an d potential future use-cases for emergency care. For example, AI-assisted sympto m checkers could help direct patients to the appropriate setting, models could a ssist in assigning triage levels, and ambient AI systems could document clinical encounters. AI could also help provide focused summaries of charts, summarize e ncounters for hand-offs, and create discharge instructions with an appropriate l anguage and reading level. Additional use cases include medical decision making for decision rules, real-time models that predict clinical deterioration or seps is, and efficient extraction of unstructured data for coding, billing, research, and quality initiatives.”
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