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Blog from March, 2016
SYNOPSIS: 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 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.
SUMMARY:
Topic: Electronic Medical Record Search Engine (EMERSE)
Speaker: David Hanauer, M.D.
Date: Wednesday, March 30, 2016
Time: 11 AM – 12 PM ET
You are invited to listen to Dr. Hanauer's presentation in Room 2E908 in the NCI Shady Grove Building on Medical Center Drive or via WebEx.
Presentation: A screen cast of the presentation will be available for viewing after the event on the NCI CBIIT Speaker Series YouTube Playlist 
About the NCI CBIIT Speaker Series:
The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Speaker Series is a bi-weekly knowledge-sharing forum featuring both internal and external speakers on topics of interest to the biomedical informatics and research communities. For additional information, including past speaker series presentations, visit the CBIIT Speaker Series page.
Individuals with disabilities who need reasonable accommodation to participate in this program should contact the Office of Space and Facilities Management (OSFM) at 240-276-5900 or the Federal TTY Relay number 1-800-877-8339.
SYNOPSIS: This presentation will take a “fast ride” through the world of the measurement systems which make up HealthMeasures, a repository of NIH-sponsored instrument systems, including the Patient Reported Outcomes Measurement Information System (PROMIS), the NIH Toolbox for the Assessment of Neurological and Behavioral Function, and others. We will start with a brief look at item response theory (IRT) and how it is used to power Computerized Adaptive Testing (CAT) — the delivery system which underlies PROMIS and the NIH Toolbox. These systems enable brief, yet accurate, measurement of patients, and ready research components for research, with particular value for inclusion in large scale efforts such as Precision Medicine and ECHO. We will spend a bit of extra time looking at the instruments which makeup the NIH Toolbox Cognition battery — a set of instruments which take only 3-7 minutes each to administer — replacing a complete neuropsychological battery in as little as 30 minutes! 
View the NIH Toolbox brochure .
BIO:
Richard Gershon, Ph.D., is widely recognized for his expertise in advancing the use of technology for increasing the impact and reach of psychometrically robust health measurements. Having completed Ph.D. work in both Clinical and Personality Psychology from Northwestern University, Dr. Gershon is the Vice Chair for Research in Medical Social Sciences and a Professor in Medical Social Sciences and Preventive Medicine-Health and Biomedical Informatics at Northwestern University Feinberg School of Medicine. He is a leading expert in the application of Item Response Theory (IRT) in individualized and large scale assessments and has developed item banks and Computerized Adaptive Testing (CAT) for educational, clinical, and health applications — including cognitive, emotional, and motor applications. He is the immediate past co-PI for Research Coordination Unit: Translating Basic Behavioral and Social Science Discoveries into Interventions and the National Children's Study: Vanguard Study (South ROC). He also has acted as the principal investigator for the NIH Toolbox for the Assessment of Neurological and Behavioral Function, the NIH Roadmap Patient — Reporting Outcomes Measurement Information System (PROMIS) Technical Center, AAD-PEPR: Asthma and Atopic Dermatitis Validation of PROMIS Pediatric Instruments, and as a co-investigator for the National Person-Centered Assessment Resource.
SUMMARY:
Topic: Item Response Theory, Computerized Adaptive Testing, the Patient as Participant, and Precision Medicine
Speaker: Richard Gershon, Ph.D.
Date: Wednesday, March 16, 2016
Time: 11 AM – 12 PM ET
You are invited to listen to Dr. Gershon's presentation in Room TE406 in the NCI Shady Grove Building on Medical Center Drive or via WebEx.
Presentation: A screen cast of the presentation will be available for viewing after the event on the NCI CBIIT Speaker Series YouTube Playlist
About the NCI CBIIT Speaker Series:
The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Speaker Series is a bi-weekly knowledge-sharing forum featuring both internal and external speakers on topics of interest to the biomedical informatics and research communities. For additional information, including past speaker series presentations, visit the CBIIT Speaker Series page.
Individuals with disabilities who need reasonable accommodation to participate in this program should contact the Office of Space and Facilities Management (OSFM) at 240-276-5900 or the Federal TTY Relay number 1-800-877-8339.
