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Response from Feature Authors

机译:专题作者的回复

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摘要

The views expressed by Connelly and Sykes underscore the imperative of finding better and more efficient ways to manage the health of large populations by establishing a culture of data and analytics. Predictive analytics are beginning to arm us with powerful insights into an individual's predisposition to a future state of health or disease and will Jielp us deliver on the goal of personalized care. But equally important are descriptive, foundational analytics, which, if built into clinical and business leaders' workflow with near-real-time actionable data, allow us to pivot if needed, fill care gaps, and measure progress. Many organizations are racing to develop tools and processes for delivering predictive analytics, but analytics will be game changing only if combined with strong foundational work and turned into measurable interventions. Analytics leaders and clinical and business leaders must work side by side to achieve success.
机译:Connelly和Sykes所表达的观点强调必须通过建立数据和分析文化来找到更好,更有效的方法来管理大型人群的健康。预测性分析开始为我们提供强大的洞察力,帮助他们了解个人对未来健康或疾病状况的易感性,Jielp将帮助我们实现个性化护理的目标。但同样重要的是描述性基础分析,如果将其与几乎实时的可操作数据一起构建到临床和业务领导者的工作流中,则可以使我们在需要时进行调整,填补护理空白并衡量进度。许多组织都在竞相开发用于提供预测分析的工具和流程,但是只有结合强大的基础工作并转化为可衡量的干预措施,分析才能改变游戏规则。分析领导者以及临床和业务领导者必须共同努力才能取得成功。

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