Research overview

高质量的卫生保健世界杯下注网站依赖于高质量的生物统计学:没有它, conducting scientifically sound studies would be like trying to assemble a puzzle without having all the right pieces. The Biostatistics Unit at 2022世界杯下注网站健康世界杯下注网站所 promotes the use of rigorous statistical methods that enhance the quality of research at 凯撒永久医疗机构华盛顿 and nationwide.

National consortia

KPWHRI biostatisticians help lead several national consortia that are developing innovative methodological approaches to benefit public health, 包括美国食品和药物管理局(FDA) Sentinel Initiative. “We help the FDA overcome analytic challenges in using health care databases to conduct post-market safety surveillance, developing new methodological approaches that allow rapid safety surveillance of new medical products,詹妮弗·尼尔森说。, PhD, KPWHRI生物统计学主任. 

另一个这样的项目是美国国立卫生世界杯下注网站院(NIH)的 卫生保健系统世界杯下注网站合作实验室, which supports several pragmatic clinical trials that take advantage of large health systems’ existing data resources to efficiently produce results that better reflect real-world care. Andrea Cook, PhD, and Jennifer Bobb, PhD, are developing new methods for these clinical trials that use data from electronic health records (EHRs) and other existing data systems. As Dr. Cook explains, “You need different methods and a whole new approach to trial design to test interventions that will work in a real-world setting.”

作为精神健康世界杯下注网站网络(MHRN), Susan Shortreed, PhD, helps design research ranging from comparative effectiveness and safety studies to predicting outcomes over time based on patient and provider characteristics and treatment choices. “Our long-term goal is to improve mental health care by using EHR data to identify which depression treatments will work best for which people,” she says.

学习卫生保健系统

KPWHRI biostatisticians also play an integral role in influential learning health system (LHS) research, which focuses on rapidly improving the delivery of health care using feedback from patients, community members, providers, 以及卫生系统的领导力. As an Agency for Healthcare Research and Quality (AHRQ)/Patient-Centered Outcomes Research Institute (PCORI)-funded LHS scholar, R. Yates Coley博士为KPWHRI提供风险预测专业知识 LHS Program, 使用来自个人健康史的数据, diseases, treatments, 以及其他需要预测的信息, 以自动的方式, who is at higher risk for prostate cancer as well as who will respond well to treatment for depression.

Seattle Symposium

With the use of EHR data for research rising, methodological rigor is more important than ever. That’s why Drs. 库克和纳尔逊加入了帕特里克·希格蒂的队伍, PhD, a KPWHRI affiliate investigator and professor of biostatistics at the University of Washington, to  launch the 西雅图卫生保健数据分析研讨会. Held in 2014, 2016, and 2018, this first-of-its-kind event brought together scientists from across the country to discuss the statistical challenges of using EHR data for health research and to explore new methods to overcome those challenges.

通过研讨会和KPWHRI的许多正在进行的项目, our biostatisticians continue to improve the rigor with which scientists address important questions about public health and health services. “我们有一个非常强大的团队, including many very talented master’s-level statisticians who help apply and adapt statistical methods to real-world situations—an asset that is rare in most academic research settings,” Dr. Nelson says.