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NEWS UPDATE: Phenotype Sharing Feasibility Through OMOP Shown In Recent JBI Paper

(Craig Sachson) #1

Traditional methods of identifying phenotypes over varied networks of electronic health record (EHR) databases is challenging. The recently published “Facilitating Phenotype Transfer Using A Common Data Model” paper in the Journal of Biomedical Informatics demonstrated success in creating a systematic process for sharing disease definitions—known as phenotypes—across a network using the OHDSI OMOP Common Data Model, which could lead to dramatic improvements in the ability to study diseases in the future.

George Hripcsak, MD, MS, the co-PI of the OHDSI Coordinating Center at Columbia University, served as lead author for a paper that demonstrated an efficient alternative to phenotype sharing that allows for rapid exchange and execution across different medical centers, improving the speed and reproducibility of the research process.

The full release, which is available on Twitter and LinkedIn, is below. Please share with your own networks!


(Vojtech Huser) #2

Nice paper !

Perhaps the study used the public Atlas instance for the phenotypes. Can they be found there? (or as .json on github perhaps)
I just did a search for adhd and saw a few.

(Andrew Williams) #3

Another wonderful paper! Thanks George.

(Jose Posada) #4

Yes, this is indeed a wonderful project. Congratulations to all the research team that made this possible
Is there a repo with the software to try out other phenotypes from the eMerge network as mentioned by @Vojtech_Huser ?