Leveraging Electronic Health Records for Phenotyping - Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare - page 68

effectiveness in clinical research have opened wide opportunities with increased
need for EHR data. The successes and lessons learned of initial research projects in
these areas have created both a foundation and a critical mass that is leading to more
and more use. While challenges still exist, studies demonstrating either the limits of
those challenges or solutions to them have kept momentum strong. Recent develop-
ments to increase the consistency and completeness of EHR data will undoubtedly
add to that momentum. We are now at a point that research leveraging EHR data for
phenotype and subject defi nition moves from an opportunity, to an accepted
approach, to a priority. This will continue to have dramatic effects on the need for
translational informatics.

Discussion Points

￿ Review what a phenotype is. Discuss what types of data are used to defi ne a
phenotype, and where that data exist.
￿ Discuss how different phenotypes could actually be biased according to data.
￿ Discuss the effect of Meaningful Use, and how data are actually growing (at
what rate is it growing?).

￿ Discuss how data that are not collected in EHRs could be collected.

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