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Overcoming AI Adoption Hurdles in Healthcare

机译:在医疗克服采用人工智能障碍

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摘要

What have been the biggest learnings around data analytics and artificial intelligence (AI) for you and your clients during the pandemic? The COVID-19 pandemic has really highlighted the need for data integration from a health system perspective. As healthcare data continues to grow exponentially, it's an ongoing challenge to integrate pertinent data and develop meaningful insights to provide better patient care while improving operational efficiencies. Data analytics and AI can drive more value from these massive amounts of data, which can support healthcare providers, for example, to track and respond to trends in utilization, bed needs, COVID patient management and much more.
机译:最大的经验数据是什么分析和人工智能(AI)你和你的客户在大流行期间?COVID-19流行确实强调了需要从卫生系统的数据集成视角。指数,这是一个持续的挑战将相关的数据集成和开发意义见解提供更好的病人护理提高操作效率。从这些分析和人工智能可以推动更多的价值大量数据,从而支持卫生保健提供者,例如,追踪和利用趋势作出反应,床上的需求,COVID病人管理和更多。

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