Room 333 (fishbowl) Wisenbaker
Rui Zhang, University of Minnesota
Abstract: The rapid adoption of healthcare information technology has resulted in dramatically accumulating vast amounts of heterogeneous healthcare data – also known as “big data”. The data create new resources for deriving insights for improving efficiency and efficacy of healthcare delivery, reducing the incidence of medical errors, and discovering new knowledge that can be further disseminated into practice. This webinar will introduce the field of Health Informatics followed by providing examples of how informatics analyze biomedical and healthcare data especially textual data to potentially improve the delivery of healthcare.
A large amount of information in biomedicine and healthcare is recorded as free text format, such as clinical notes and biomedical literature. Natural language processing (NLP) techniques provide methods to automatically analyze data from text. In biomedicine and healthcare, important NLP applications include secondary use of data from text for research, quality, and literature discovery.
Bio: Dr. Zhang is a Clinical Assistant Professor in the Institute for Health Informatics and an Assistant Professor in the Department of Surgery at the University of Minnesota, Twin Cities. He obtained his PhD degree in Health Informatics from the University of Minnesota, and Master’s degree in Informatics at the University of Iowa. His research interests are developing and applying natural language processing in clinical domains, mining biomedical literature to discover new knowledge and evaluating terminology.