Hi everyone, as part of our project and collaboration with NCI (National Cancer Institute here in the US), we are working on exploring the potential of OHDSI/large-scale observational data in carrying out cancer research. They are beginning to consider funding more observational research to improve cancer care and we hope to demonstrate the potential of OHDSI to power these efforts!
Building on the initial treatment pathways in cancer study-- which showed we have cancer patients across our network, can identify them properly, and can do some kind of study on them-- we now seek to explore the larger realm of possible cancer research and questions, and understand whether or not we are currently able to answer them (even as the Oncology Working Group, @rimma @Christian_Reich @mgurley @Dymshyts and many more are making great strides in improving cancer representation in OMOP)
But we need your help! There are 2 questions that I hope to get your input on–regardless of your role/background (and espeically if you have experience in oncology–please chime in!)
1. What are the most important (or most interesting) study questions and/or outcomes in cancer research?
2. How well is OHDSI/OMOP equipped to answer these questions, either now or in the future?
Then, depending on what’s feasible and generates the most interest, we could start working together to answer these questions!
Look forward to hearing your thoughts,
-Ray, @hripcsa, @thomasfalconer, @cukarthik
P.S. We have been brainstorming to come up with outcomes/questions of our own, but wanted to start us off fresh with a blank slate before adding our thoughts later