Health Informatics Invited Speaker Series

The Invited Speaker Series is an extension of our Health Informatics Grand Rounds. In this series, top informaticians from around the country will share their current research with the University of Minnesota informatics community. This series is open to the public.

The series will generally be on Thursdays from 3:30-4:30, but dates and times may vary.

February 19, 2018 - The Inherited Genomics of Childhood ALL- from Biology to Clinical Implications

February 19, 2018 - The Inherited Genomics of Childhood ALL- from Biology to Clinical Implications

Picture of Jun Yang
Jun Yang, PhD
Associate Professor, Department of Pharmaceutical Sciences, Department of Oncology, and the Hematological Malignancies Program of St. Jude Comprehensive Cancer Center

Time: 3:30-4:30
Location: 2-690 Moos Tower
Recording

Abstract

Acute lymphoblastic leukemia (ALL) is the most common malignancy in children and also a prototype of cancer that can be cured by chemotherapy alone. Genomic profiling of ALL has revealed remarkable complexity of somatically acquired genetic lesions in this disease and novel therapeutic targets. However, the roles of inherited genetic variation in ALL pathogenesis remain poorly understood. Recent studies by us and others have comprehensively identified germline genetic variants associated with ALL risk, ranging from common polymorphisms related to modest ALL susceptibility to rare mutations driving familial predisposition. More importantly germline variants can also strongly influence host toxicity of ALL therapy, with direct implications in precision medicine in childhood cancers. In conclusion, inherited genetic variation is a critical part of ALL genomics, contributing significantly to inter-individual variability in ALL susceptibility, anti-leukemic drug response, and treatment toxicity.

January 25, 2018 - An Ontological Approach to EHR Data Quality

January 25, 2018 - An Ontological Approach to EHR Data Quality

Picture of Steven Johnson
Steven Johnson, PhD
Vice President of Technology and Clinical Informatics at Wolters Kluwer Health

Time: 3:30-4:30
Location: 2-690 Moos Tower
Recording

Abstract

Electronic Health Records (EHRs) are almost universally adopted in healthcare and now provide mountains of clinical data. There are high hopes that applying data science, machine learning and artificial intelligence (AI) to that data will help us achieve precision medicine, reduce the cost of healthcare and improve population health. But EHR data is often of poor quality and may not be sufficient to support these goals. 

In this talk, Dr. Johnson will discuss why we should care about data quality, how we can define it, measure it and ultimately, how we can improve it so that the data is fit for the purposes that we have for it.