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Center for Data Science
Who We Are
The Center for Data Science is a nexus for learning and collaboration among faculty and students whose work is in the area of "big data" and systems and health services research.
The Center for Data Science in the School of Nursing aims to prepare students to meet the increasing demand for healthcare data scientists, provide research support for internal and external projects and collaborate across health disciplines. Faculty affiliated with the center teach students various statistical and methodological techniques, including cross-sectional (observational) research, causal modeling, data mining (pattern recognition), hierarchical modeling and longitudinal data analysis. Faculty and affiliates of the center also engage in healthcare quality and safety measure development.
Why Data Science?
With the rapid growth in health information technology (HIT), vast quantities of data are being accumulated. However, nursing administration, clinicians and many researchers don't know how to access the data they need or how to conduct the analysis required to extract information from the data. There is a national and international need to produce more informaticists, but the lack of persons skilled in designing, developing and using big data from HIT is more extreme.
The advance of precision health depends on the ability to examine omics. "Omics" is a collective term that integrates important features of disparate disciplines including genomics, proteomics, metabolomics, epigenomics, microbiome and transcriptomics. The key feature of omics is that it seamlessly blends together features of biological knowledge that reflect the complexity and diversity of living systems in context over time. Findings from omics-based studies can assist clinicians to more precisely identify molecular characteristics of health, diseases, illnesses and illness responses, and identify which patients are best suited for specific medications or treatments. Furthermore, a new wave of diagnostic information actually incorporates itself into treatments by suggesting very specific molecular endpoints of personalized treatments in nursing, medicine and other health professions.
Nurse scientists hold a unique and important role in advancing omics sciences, as they hold a long-standing value for person-centered approaches.
Our projects include:
- Development, implementation and maintenance of quality measures for Programs of All-Inclusive Care for the Elderly (PACE), in which we worked with the Centers for Medicaid and Medicare Services and Econometrica Inc. to analyze existing quality measures, focus on new areas of quality measures development as well as feasibility and reliability testing of proposed measures.
- Research and development support for the National Database of Nursing Quality Indicators with Press Ganey and Associates.