人类数据科学的现实影响lpl哪里可以下外围

The application of data science to human data is already happening in healthcare and its impact is positive.

让我们看一下人类数据科学对三个层面的影响：lpl哪里可以下外围

首先是在卫生系统级别。lol买外围用什么软件

The second is at a disease prevention and treatment level,

第三层的重点是提供人类健康服务。lol买外围用什么软件

At the health system level, unnecessary services can drive up costs and expose patients to stress and risks.

许多ACO在全球支付模型下的功能是为了满足高风险患者需求的创建。

但是它们真的有效吗？

如果我们只看高风险患者，我们就错过了最有效利用卫生系统资源的船。lol买外围用什么软件

全球支付模型激励了许多策略，这些模型仅着重于减少浪费和降低高危患者的支出。但是，如果我们想知道减少浪费和总体支出的最佳方法怎么办？

对A部分和B Medicare主张的分析表明，有17％的Medicare受益人被认为是在产生未来成本的高风险中。

但是，这些患者仅占低价值使用的27％。

So, targeting patients with high predicted spending misses opportunities for waste reduction.

人类数据科学在整体患者健康中的应用实际lpl哪里可以下外围上减少了所有患者的不必要，低价值测试和治疗方法。

现在，让我们看一下预防疾病，拦截和治lpl哪里可以下外围疗的人类数据科学。

患者参与以及与高级分析一起使用的匿名患者数据收集和使用可以以我们认为是不可行的方式为人类带来改变人生的疗法。

让我们探索两种当前的癌症疗法：罗氏的罗兹特里克和辉瑞的兴趣。
In both cases, the drug development approval pipeline needed patient subgroups that are very challenging to recruit for in a traditional clinical trial.
Instead of going a traditional route that would delay the delivery of life-altering treatments, a different approach, an approach drive by Human Data Science was needed.
在这两种情况下，这些公司都制定了由现实世界数据和证据驱动的临床计划，以识别患者进行临床试验。
The use of Real World evidence was multidimensional—used as a comparator and as a virtual control arm in the clinical trials.
Furthermore, this human data science approach using real world evidence, positively impacted the regulatory filing and approval process.

在我们的最后一个示例中，我们研究了与孕产妇护理有关的医疗保健服务lol买外围用什么软件。

Gaps in longitudinal patient care, and particularly maternal care where there is a general lack of robust data collection, are missed opportunities to support patients and mitigate health risk.

The United States currently lacks uniform care in the postpartum period, when more than 60% of global maternal deaths occur.

需要关于产后孕产妇发病率的国家数据收集，以解决此护理中的差距。

By examining human health through a human data science lens, The Arkansas Health Care Payment Improvement Initiative showed that a bundled payment model actually led to a decrease in episode spending while simultaneously improving the maternal care services.

这种类型的计划激励了更好的护理协调和质量。

Beyond the real-time impact on care for the mother, the data collected from these programs can be analyzed to determine if quality goals are being met and their impact on cost----ultimately to continually improve care and inform future decisions.

我们可以看到全球医疗保健中的挑战和差距令人生畏。lol买外围用什么软件

但是方法的改变可以改变结果。这种称为人类数据科学的新方法正在发生，并提供了乐观的理lpl哪里可以下外围由。

人类数据科学的强大力量，突破性科学和破坏性技术的强大力量释放了有望为未来的医疗保健提供动力并改善全球个人和人群的健康成果。lpl哪里可以下外围lol买外围用什么软件