The need for a new a discipline
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Murray Aitken, Executive Director, IQVIA Institute for Human Data Science
博客
Feb 25, 2020

The promise of a new era in healthcare is exciting. The availability of ever-expanding healthcare data coupled with advances in human science and digital technology are fueling an opportunity for new approaches to bring innovative, life-saving treatments to patients faster.

Today, we have access to more information than ever before—information that is improving our understanding of human biology and helpinghealthcare stakeholders制造商更好,更明智的决定。但是,了解所有这些数据仍然很困难。利用无数数据来创造突破将要求我们使用称为人类数据科学的多学科方法进行不同的思考。lpl哪里可以下外围

Human Data Science will augment our ability to take advantage of important trends in healthcare and science:

Scientific advancesare accelerating. A record number of new active substances (NAS) were launched in the United States in 2018, bringing 59 new treatment options to patients. Almost half of these therapies carried an orphan drug designation and more than a third of NAS launches were identified by the FDA as first-in-class, having mechanisms of action different from those of existing therapies. Despite this increased output, gaps in our understanding of underlying disease causes and molecular processes across therapy areas are slowing the overall development of life-saving treatments.

必威官方在线such as artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in healthcare, though 85 percent of life sciences executives explain that AI is advancing faster than their organization’s ability to adopt the technologies. At the same time, information technology is being progressively incorporated into clinical practice to improve care and manage costs. Patients are getting more involved in their own health by engaging with wellness technologies and are participating in their own healthcare decision-making. Despite all of this, we are faced with disparities in healthcare access and delivery related to an individual’s environment and social factors.

Big data在医疗lol买外围用什么软件保健中提供了新的机会。将数据科学应用于原始的,非结构化的,不同的数据来源使我们能够回答日益复杂的问题。必须了解医疗保健数据的细微差别,以避免与收集,连接和准备大数据进行高级分析相关的常见陷阱lol买外围用什么软件。尽管数据科学正在使用大量的新数据源进行前进,但数据收集,数据偏见以及数据源的不同和孤立的性质仍然存在挑战。

输入人类数据科lpl哪里可以下外围学

新兴学科lpl哪里可以下外围can be applied to address some of the biggest challenges that exist in healthcare today. It leverages technology and data science built for healthcare to enable new levels of access, security and analysis that were previously out of reach. In addition, the deep domain expertise of human science is a critical element to link disparate data sources that are siloed into a more complete picture of human health. It is now possible to get more out of healthcare data by combining the analytic rigor and clarity of data science with the ever-expanding scope of human science.

The powerful forces of human ingenuity, breakthrough science and disruptive technology that Human Data Science has unleashed promise to power future healthcare advances and improve health outcomes for individuals and populations globally.

要深入研究人类数据科学,请探索我们的lpl哪里可以下外围新视频系列。该系列深入了解当前的医疗保健状态,人类数据科学原理,利益相王者荣耀kpl外围投注关者参与和人类数据科学案例研究。lpl哪里可以下外围lol买外围用什么软件

Learn more about our vision for healthcare withlpl哪里可以下外围

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