Sarah Robinson
About Sarah Robinson
Sarah Robinson is a Statistical Analyst at the Center for Health Systems Research, with a background in data analysis at Sutter Health. She has contributed to various health research projects, including studies on respiratory syncytial virus and the management of biobank data.
Current Role at Sutter Health
Sarah Robinson currently serves as a Statistical Analyst at the Center for Health Systems Research at Sutter Health. In this role, she applies her analytical skills to support health research initiatives. Her responsibilities include data analysis, statistical modeling, and contributing to research projects that aim to improve health outcomes. She has been in this position since 2019.
Previous Experience at Sutter Health
Prior to her current role, Sarah Robinson worked at Sutter Health as a Data Analyst in the Research, Development, and Dissemination department from 2014 to 2019. During this time, she played a key role in various research projects, including a descriptive study on hospitalized elderly adults with respiratory syncytial virus infection. She also worked as a Research Associate in the same department for one year from 2013 to 2014, where she developed a working knowledge of data systems and contributed to project documentation.
Expertise in Spatial Analysis
Sarah Robinson has expertise in spatial analysis, demonstrated by her work in customizing spatial databases and performing geocoding of patient populations. She utilized tools such as ArcMap and HealthPoint 360 to enhance the spatial analysis capabilities for various health research projects. This skill set has been integral to her contributions in understanding demographic and clinical characteristics within health systems.
Data Management and Support
In her roles at Sutter Health, Sarah Robinson provided analytical support for the system-wide biobank. This included designing inclusion and exclusion criteria and managing data acquisition processes to ensure fidelity in reporting. She also sourced and procured diverse datasets, including state death data, by establishing relationships with data owners and developing timelines for data transfer and processing.