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Enabling predictive healthcare analytics through better workflows

机译:通过更好的工作流程启用预测性医疗保健分析

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摘要

The shift to value-based care and the establishment of machine learning in support of data analysis is transforming healthcare. We may only be at the start of this journey, but a foundation is being set for predictive healthcare analytics in health systems that will allow physicians and care teams, hospitals, and health plans to mine diverse sets of data to identify patterns in support of advancing improved medical decisions. A recent survey of healthcare organization executives by Deloitte found that 94% are moving toward value-based care. While only 27% of this group have completed pilots or rolled out technology, the intent is clearly there ... and so are the incentives. Quality data reporting provisions of the 2015 Medicare Access and CHIP Reauthorization Act (MA-CRA) will base reimbursement on how well physicians and care teams access, share, and use data to improve the quality of care they provide.
机译:向基于价值的护理的转变以及支持数据分析的机器学习的建立正在改变医疗保健。我们可能只是此旅程的开始,但正在为卫生系统中的预测性医疗分析奠定基础,这将使医生和护理团队,医院和卫生计划能够挖掘各种数据集,以识别模式以支持推进改善医疗决策。德勤(Deloitte)最近对医疗保健组织高管的调查发现,有94%的人正在转向基于价值的护理。虽然该组中只有27%的人已经完成了试验或推出了技术,但意图显然存在于此……激励措施也是如此。 2015年《医疗保险访问和CHIP重新授权法案》(MA-CRA)的质量数据报告规定将根据医师和护理团队访问,共享和使用数据改善他们提供的护理质量的程度来报销。

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