Apologies for Cross posting, As you may know, the AMIA Joint Summit has added an implementation track focused on pragmatic informatics needs to support bioinformatics and clinical research informatics. https://www.amia.org/jointsummits2017
On behalf of the implementation track committee, one topic we think may be of interest to attendees is how teams conduct Extract Transform Load (ETL) software development between clinical/billing/claims/research source systems, local data warehouses, and destination data models and tools like OHDSI/OMOP, i2b2, and the PCORnet CDM. This work may represent several full time equivalents of team effort and is a cornerstone for network collaborations. We think it may be of interest to the community to hear practical issues encountered for sites using different approaches to conducting ETL and understand tradeoffs encountered regarding: - Development time - Complexity - Performance - Transparency We are seeking feedback regarding if you think this is a good topic and can help identify panelists. The goal would be to have 3 panelists who use different ETL tools to populate different destination data models/tools. - They would present both the good, the bad, and the ugly in terms of development, performance and maintainability Please let us know via the brief REDCap survey link below: - If you think this is a panel that would be of interest to you and your teams - If you are interested in participating in the panel, some characteristics of your ETL process and data environment. o We are specifically looking for speakers who do ETL § At least quarterly § On an enterprise scale for their campus with at least 250,000 patients and at least half a billion observations. § That populate commonly used open data models and tools § Incorporating unstructured notes is also of interest (note this link is in development right now pending any feedback) https://redcap.kumc.edu/surveys/?s=LCA9FWKTDJ Sincerely, Russ Waitman, PhD Director of Medical Informatics Associate Vice Chancellor for Enterprise Analytics Professor, Department of Internal Medicine University of Kansas Medical Center, Kansas City, Kansas 913-945-7087 (office) [email protected]<mailto:[email protected]> http://www.kumc.edu/ea-mi/ http://informatics.kumc.edu<http://informatics.kumc.edu/> http://informatics.gpcnetwork.org<http://informatics.gpcnetwork.org/> - a PCORnet collaborative
_______________________________________________ Gpc-dev mailing list [email protected] http://listserv.kumc.edu/mailman/listinfo/gpc-dev
