洞察杠杆改善预后

有好消息: Massive amounts of useful data are generated every day by cancer researchers around the world.

但也有挑战新闻：由于数额巨大，其复杂性和缺乏集中的，还剩下多少未分析。

后果: Important insights often remain unknown.

Take this scenario: A 56-year-old woman enters the clinic with BRAF-mutant melanoma. Her cancer initially responds to available treatments, but then she relapses after a few months. Why did the therapy work initially and then fail?

大达ta backed by powerful analytics hold the key to understanding why some patients never respond to treatment, why some patients initially respond and then relapse, and why some patients have long-lasting responses.

To unravel this mystery, specific factors such as family histories, clinical test results and genomic data must be collected from a large number of patients and housed collectively so that factors that modulate response can be identified.

The big data buzz

大达ta is a buzzword today, but what is it and how is it relevant to cancer research and patient care?

“Big data is not just big. The term also implies three additional qualities: multiple varieties of data types, the velocity at which the data is generated, and the volume seen within MD Anderson,” says Keith Perry, associate vice president and deputy chief information officer.

“Additionally, many of our databases currently don’t interface with each other because they’re generated by and housed separately in prevention, research and clinical departments versus a centralized platform.”

Harnessing big data is transformative. It provides opportunities to ask complex questions and identify new knowledge in existing data through centralization, standardization and new types of computing analytics.

治理强大的信息

MD Anderson refers to the specialized expertise and infrastructure that is being assembled to support the Moon Shots Program as platforms. The Big Data Analytics platform consists of two functional components. First, a longitudinal patient data warehouse will house clinical and genomic data.

二，海量数据分析的套件将询问并从数据学习为最终用户提供易于理解和可操作的答案，他们复杂的临床或研究的问题。乐动体育LDsports中国

“This platform differs from currently available research and clinical databases because of the size, centralization, strength of the analytics and, most important, because it doesn’t belong to one researcher or department,” says Lynda Chin, M.D., chair of the Department of Genomic Medicine and scientific director of the Institute for Applied Cancer Science.

“提供这些丰富的数据访问到所有MD安德森临床医生和研究人员作为一种制度资源将加大科研生产力和改善病人护理。”乐动体育LDsports中国

Enter analytics and their role in a health care setting

今天的强大的分析可以结合大量与结构研究和临床数据的非结构化数据的自然语言处理。乐动体育LDsports中国认为医生的笔记与数字实验室测试 - 用先进的软件回答有关医学相关场景的复杂问题时，定义概率。

“Analytics can address large-scale data sets. They permit the discovery of meaningful patterns in data by applying sophisticated algorithms to filter and analyze collected information,” says Andrew Futreal, Ph.D., professor in the Department of Genomic Medicine and co-leader of the Big Data Analytics Platform.

“This approach allows for real-world questions, like the hypothetical scenario above, to be explored because analytics look at interactions and relationships that are not ‘under the lamp post.’ The infrastructure allows for the consideration of all available information about a patient and patients like them.”

提供下一代今天护理

An interdisciplinary pilot project is under way, providing the next 1,000 patients admitted toMD Anderson的白血病中心下一代癌症治疗。该项目集成了一个大数据基础设施的科学和临床知识。

Patients’ information is collected, including a profile of their genetic makeup, clinical histories, test results, treatment courses and treatment responses. This data will be interpreted by the massive data analytics, which provide real-time decision support to rapidly improve clinical outcomes.

这个登月计划平台的研究和临床科室和信息技术之间的真正的合作。乐动体育LDsports中国

良好的护理民主化

建立这个基础设施的目标是同时线束双方的技术和人性化功能，这将导致关键的见解，并显着改善患者的预后。

“Building these integrated platforms enables MD Anderson to leverage the knowledge and insight of scientists and clinicians here to provide decision support, not only to the institution’s physicians, but also potentially to providers across the planet,” says John Frenzel, M.D., chief medical information officer and co-leader of the Big Data Analytics Platform.

“These platforms also could enable physicians globally to practice with the MD Anderson standard of care no matter where the patient is located, improving outcomes and reducing suffering.”

Best of all, there will be insights that optimize patient outcomes — as well as the accelerated translation of new therapies and diagnostics — for patients like the woman in the opening scenario and for all patients who are treated with the next generation of medicine.