Electronic Medical Record Search Engine (EMERSE)

March 30, 2016 11:00 a.m. - 12:00 p.m. ET

p>With the continued adoption of electronic health record (EHR) systems, healthcare centers are developing large repositories of unstructured clinical notes that were created as part of routine care. These data contain rich details that are often found nowhere else in the EHR, and can be valuable for research tasks ranging from cohort identification and eligibility determination to extracting phenotypic details in support of clinical and translational research. However, access to the data "locked" within these documents has historically been challenging for research teams, many of whom lack the expertise to utilize natural language processing tools. To address this problem we developed the Electronic Medical Record Search Engine (EMERSE) which is an information retrieval tool designed with the end-user in mind. Careful attention has been paid to usability and to ensure that EMERSE has the type of functionality needed by a majority of researchers needing access to the data found within the clinical notes. EMERSE has been used, and continues to be enhanced, at the University of Michigan for over 10 years, and has had a wide and highly satisfied user base. One of the largest collective user groups has been our Cancer Center's Clinical Trials Office. EMERSE is available at no cost for academic use and we are actively seeking partners interested in adopting the tool. Additional information can be found at http://project-emerse.org. In this talk, we will provide a live demonstration of the tool, by walking through the various features and capabilities to show the kinds of tasks it can be used for.


David Hanauer, M.D.

David Hanauer earned his medical degree from the University of Michigan, followed by training in pediatrics at the New York University Medical Center. He then obtained a master's degree in medical informatics at Brigham & Women's Hospital in Boston through, the combined Harvard-MIT Division of Health Sciences and Technology. Dr. Hanauer is currently an Associate Professor at the University of Michigan Medical School with a joint appointment in the School of Information. He is a practicing pediatrician and serves as Assistant Director for Clinical Informatics in the University of Michigan's Comprehensive Cancer Center's Informatics Core, Director of Clinical Research Informatics for the CTSA-supported Michigan Institute of Clinical and Translational Research, as well as Associate Chief Medical Information Officer for the University of Michigan Health System. His academic interests include clinical and health informatics primarily focused on the secondary use of clinical data and the interface between patients and the health care system.

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