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Identifying Dementia from EHR Data
Manage episode 446200980 series 3609642
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In 2009, the Health Information Technology for Economic and Clinical Health Act, wow, that's a mouthful, more commonly known as the HITECH Act, spent billions to promote the uptake of electronic health records by US hospitals. Fast forward more than a decade later, and now approximately four out of five healthcare institutions have electronic health record systems in place that integrate clinical notes, test results, medications, diagnostic images, et cetera. The adoption of EHR systems into healthcare introduces new and exciting opportunities to extract information that can be used to augment other types of data for research. As you might imagine though, it can be tricky to pull out meaningful information from the text of clinical notes. In this episode, we'll speak with a University of Michigan researcher, Dr. Vinod Vydiswaran, who's been developing methods to identify dementia from EHR data.
Faculty Profile: https://medicine.umich.edu/dept/lhs/vg-vinod-vydiswaran-phd
The transcript for this episode can be found here.
CAPRA Website: http://capra.med.umich.edu/
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