Amy Shanks is a nationally recognized Associate Research Scientist at the University of Michigan, where she has dedicated over fifteen years to advancing the field of predictive analytics within healthcare. Her expertise lies in the development of risk scores and predictive modeling, which are crucial...
Amy Shanks is a nationally recognized Associate Research Scientist at the University of Michigan, where she has dedicated over fifteen years to advancing the field of predictive analytics within healthcare. Her expertise lies in the development of risk scores and predictive modeling, which are crucial for improving patient outcomes and optimizing healthcare delivery. As an independent researcher, Amy is responsible for the entire research lifecycle—from study conception and design to the implementation of robust analytics and the dissemination of findings through peer-reviewed publications.
Currently, Amy leads key projects that leverage multicenter electronic health record (EHR) data, collaborating with over 30 hospitals and health systems to extract meaningful insights from big data. Her proficiency in cleaning, coding, and analyzing complex datasets enables her to develop sophisticated algorithms that enhance the functionality of electronic medical records, ultimately driving better clinical decision-making. Amy's work not only contributes to the academic community but also has a tangible impact on real-world healthcare practices.
Her collaborative approach fosters synergies among interdisciplinary teams, allowing for innovative solutions that address pressing healthcare challenges. Recognized for her ability to translate complex data into actionable insights, Amy is at the forefront of research that shapes the future of healthcare analytics. With a strong foundation in machine learning and data science, she continues to push the boundaries of what is possible in predictive modeling, making her a vital asset to the University of Michigan and the broader healthcare research community.
