Data Science and Advanced Informatics Lab
与许多其他行业一样，医疗保健行业正在经历一场根本性的变革，从财务到患者护理，领导者在方方面面做出决策的方式都发生了变化。在这一转变中首当其冲的是数据的作用。获取新旧类型的信息并确定如何使用这些信息不仅对找到医疗保健解决方案至关重要，而且对产生更复杂的问题也至关重要。
How might we uncover data insights to become more discovery-driven?
As OSF HealthCare reimagines its use of data, participation in collaborative communities, made up of academia, government, industry and non-profit organizations will be a necessity. That’s because the scale of available data far surpasses the resources of any one organization to ingest and find value. While challenging, this new world provides ample opportunity to improve and innovate how OSF HealthCare delivers care.
The Data Science and Advanced Informatics Lab provides expertise and insights to participate in the technological advancement of medicine through the application of data techniques. Further, the lab has the ability to leverage newly established tools such as neural networks to task artificial intelligence (AI) with not only finding solutions, but to find the next set of questions that will advance health care.
但是首先，OSF必须改变它收集、存储和访问数据的方式。因此，数据科学和高级信息学实验室正在创建一个新的基础设施来利用数据，重点关注部署混合云解决方案的速度和灵活性，以实现未来的增长和互操作性。这将允许关键访问，以探索价值，采用先进的人工智能技术，并专注于以最佳的方式服务于组织的社区。
With this foundation, the Data Science and Advanced Informatics Lab can become a larger player in a community of collaboration to become a discovery-driven organization—one that pushes the quality of the hospital system’s practices by putting data and insights to work for patients.
Data in Action
- Secure federated learning for collaborative diagnostics:The need for collaboration is more apparent now than ever before. Data privacy and security are of particular importance in the medical field, as patient health information is one of the most valuable sets of data. The Data Science and Advanced Informatics Lab is developing new ways to safely share that information while also fostering a community of collaboration that leads to the next wave of innovations in health care. At completion, a framework for collaboration between multiple institutions to improve the robustness of data models without sacrificing patient privacy and security will dramatically improve upon current capabilities.
- Contactless vital signs collection:这场大流行带来了许多挑战，即如何在不危及他人的情况下照顾人们。由此产生了一个想法，即开发一个平台，利用现有的技术在家里收集人们的生命体征。数据科学与高级信息学实验室与伊利诺伊大学香槟分校(University of Illinois at Urbana-Champaign)和一家瑞典公司合作，正在制作这样一款应用的原型，它使用机器学习来评估生命体征，并将这些信息导入电子病历和远程医疗应用程序。
- Predicting the dynamics of COVID-19:This project proposes to use a novel analytical approach that incorporates artificial intelligence, data analytics and machine learning to personalize treatment for those who could be COVID-19 positive. Information gleaned from this method could identify virus hot spots in a community and determine where to allocate resources such as staffing, equipment, medicine and space.
帮助我们用大数据改变医疗保健!
If you are interested in learning more about the Data Science and Advanced Informatics Lab, participating in certain aspects of the journey or if you want to invest or partner,contact us today.
Leading the Way
