Shauna Overgaard




Shauna Overgaard, MHI is an adjunct professor in the College of St. Scholastica's Department of Health Informatics and Information Management, where she instructs a graduate-level course called Healthcare Data Analytics. She is a Ph.D. student of biomedical health informatics and biostatistics at the University of Minnesota. Her clinical research has largely focused on the analysis of MRI, DTI, and fMRI neuroimaging data as well as proteomic and genomic phenotypic data for psychiatric and neurological disorders. Shauna spent several years working in a clinical research setting, designing, implementing, and supervising research studies; building database systems for automated clinical data entry and extraction; and analyzing and interpreting clinical outcomes data.

While earning her master's degree, she was awarded a UPHI fellowship and specialized in healthcare information exchange. She is an IPHIE Fellow, a Merrill H. Knotts Fellow, is AMIA student working group co-member-at-large (doctoral/Ph.D.), and contracts with AHIMA for analytics related projects. Shauna is currently completing her dissertation in the Department of Radiology at the Mayo Clinic in Rochester MN. Her research is aimed toward the development of bioinformatics tools, in neuroimaging and genomic modeling, to assist in the prevention of Alzheimer's disease.

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Jul 18th 2016

Health data analysis involves the process of translating data into information valuable to the support of operational and clinical decision-making. This course is designed to provide participants with hands-on experience in health data analytics using the widely adopted tool, Microsoft® Excel®.

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