Community Meeting 28July2015

Good morning everyone!

For those of you able to join in on Tuesday’s community call, we have an exciting line-up for you:

  1. @anthonysena from Janssen R&D will share his work on Conversion Script for CDM V4 to V5
  2. @taylordelehanty from Colorado College will present his work on Understanding the Era Builder Standard Algorithm for Further Applications

To join the call, all the details you’ll need can be found here: http://www.ohdsi.org/web/wiki/doku.php?id=projects:ohdsi_community

Have a great weekend!
Maura

There’s been a slight change to Tuesday’s agenda. @anthonysena’s presentation has been postponed until August 11th so the primary topic of Tuesday’s call will be era building logic.

In addition, we would like to discuss the R01 grant posted below and see if anyone in the community would be interested in applying for OHDSI:

Big Data to Knowledge (BD2K) Development of Software Tools and Methods for Biomedical Big Data in Targeted Areas of High Need (U01) - See more at: http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-15-017.html#sthash.v9NGX6Cq.dpuf
Application due October 6th 2015

Hi Maura,

Looks like a great agenda. I unfortunately will be on vacation and then traveling and thus mostly away from email until 8/13. However, I think the work we have done on Laertes might be good prelim work for the data repurposing piece.

“Software for enabling access to repurposable data that is broadly disbursed, including methods for aggregation and integration of data across multiple platforms and sources”

-R

Team: The reason for the amendment: @taylordelehanty and @schillil have
done a great job of providing a really nice, easy-to-understand but
detailed, discussion of how to construct eras. I want to make sure he has
adequate time to present this content, but I also want to make sure that we
as a community think about where to take this work: what type of
conventions should we be striving for across the community that would meet
problems of shared interest? At today’s EDM Forum session on data-driven
quality measure development led by @Daniella_Meeker with great talks by
@mgkahn, Lisa, and Philip, it’s clear that the notion of delineating acute
from chronic conditions may be important if we want to infer ‘active’
diseases for purposes of quantifying quality measures at specific
encounters. In the OMOP CDMv4 conventions, we applied consistent rules to
defining drug and condition eras, but @jon_duke and @aperotte and I have
all done some work thinking about how we could learn from the data to
define disease/drug-specific heuristics that may be more appropriate…but
it all comes down to our analytical use cases. So, bring your use cases
and bring your ideas to the table so we can have a thoughtful debate about
what shared conventions for derived data make sense for the community. I’m
looking forward to the discussion.

Cheers,

Patrick