Electronic medical records in multiple sclerosis research

Electronic medical records in multiple sclerosis research With the massive digitalization of many processes involved in human activities, electronic medical records (EMR) are being increasingly deployed in medical centers. EMR have the potential to become a main major real‐life data source for future medical research and evaluation of practice. Multiple sclerosis is a paradigmatic example of a complex disease that can benefit from this new source of information. Today, researchers and clinicians alike have access to tools allowing an en masse identification of multiple sclerosis patients, and extraction of demographics and clinical variables with high accuracy. However no matter how “big” the (EMR) data might be, biases are inherent to EMR data generation. These have to be studied and eventually accounted for in analysis in order to fulfill the promise of personalized medicine for all, and carrying out large clinical and research studies in multiple sclerosis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Clinical and Experimental Neuroimmunology Wiley

Electronic medical records in multiple sclerosis research

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Copyright © 2018 Japanese Society for Neuroimmunology
ISSN
1759-1961
eISSN
1759-1961
D.O.I.
10.1111/cen3.12441
Publisher site
See Article on Publisher Site

Abstract

With the massive digitalization of many processes involved in human activities, electronic medical records (EMR) are being increasingly deployed in medical centers. EMR have the potential to become a main major real‐life data source for future medical research and evaluation of practice. Multiple sclerosis is a paradigmatic example of a complex disease that can benefit from this new source of information. Today, researchers and clinicians alike have access to tools allowing an en masse identification of multiple sclerosis patients, and extraction of demographics and clinical variables with high accuracy. However no matter how “big” the (EMR) data might be, biases are inherent to EMR data generation. These have to be studied and eventually accounted for in analysis in order to fulfill the promise of personalized medicine for all, and carrying out large clinical and research studies in multiple sclerosis.

Journal

Clinical and Experimental NeuroimmunologyWiley

Published: Jan 1, 2018

Keywords: ; ; ; ;

References

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