12:00 pm - 1:00 pm; ACC Bldg 
Albert Sherman Building, AS9-2072 Large Conference Room

Tuesday, May 21, 2013

Alexander Turchin, MD, MS, Director of Informatics Research, Department of Endocrinology, Diabetes and Hypertension                  Harvard Medical School

"Using Electronic Medical Records Data for Clinical Research:  Experience and Practical Implications"

Electronic medical records (EMR) systems represent a rich source of clinical data that can be utilized for research, quality assurance, and pay-for-performance, among others. However, it is important to recognize that, like any other data source, EMR data has its own pitfalls that need to be approached in a rigorous fashion. In particular, a large fraction of data in EMR is “locked” in narrative documents and can therefore be especially challenging to extract. This presentation will discuss common flaws in EMR data with a special focus on a systematic approach to using data from narrative electronic documents. The discussion will be illustrated by specific examples of clinical research using EMR data, including narrative text.

Learning Objectives:

1. To understand limitations and caveats of EMR data

2. To learn how to approach development of NLP algorithms

3. To learn how to evaluate NLP

Turchin TVS Manuscript 21May2013

Turchin, StatinSEundoc 21May13

The Department of Quantitative Health Sciences and the Quantitative Methods Core will conduct monthly seminars to explore statistical issues of general interest.

 

Please email with any questions.