OHDSI MEETINGS THIS WEEK
OHDSI STATEMENT ON COVID-19: OHDSI is committed to doing what it can to support and inform the COVID-19 pandemic response, and will prioritize activities aligned to this effort. As we adjust to the current global situation, the OHDSI community will continue to have our regular Tuesday community calls, as well as our various working group calls. Understandably, some calls could be postponed or cancelled due to issues surrounding COVID-19, so we ask that you continuously check the OHDSI forums, weekly digest and social channels for updated information. OHDSI is a virtual community, so we are equipped to continue collaboration during this challenging time.
OMOP CDM Oncology WG - Genomic Subgroup Meeting - Tuesday at 9am ET
URL: https://us04web.zoom.us/j/412862164?pwd=NmpEWTdTQlB4N3VxT0tQRXdDWlg0dz09
Wiki: https://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:oncology-sg
OHDSI Community Call - Tuesday at 12pm ET
Zoom Meeting URL: https://columbiacuimc.zoom.us/j/945377669
Meeting ID: 945 377 669
Password: ohdsi
Wiki: projects:ohdsi_community [Observational Health Data Sciences and Informatics]
OMOP CDM Oncology WG - Leadership Subgroup Meeting - Tuesday at 2pm ET
URL: documentation:oncology:leadership_schedule [Observational Health Data Sciences and Informatics]
Wiki: projects:workgroups:oncology-sg [Observational Health Data Sciences and Informatics]
Pharmacovigilance Evidence Investigation (PEI) Working Group - Wednesday at 9am ET
URL: Skype for Business
Wiki: projects:workgroups:kb-wg [Observational Health Data Sciences and Informatics]
Oncology WG - Development Subgroup Meeting - Wednesday at 10am ET
URL: documentation:oncology:development_schedule [Observational Health Data Sciences and Informatics]
Wiki: https://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:oncology-sg
Psychiatry WG Meeting - Thursday at 8am ET
URL: Launch Meeting - Zoom
Wiki: projects:workgroups:psychiatry [Observational Health Data Sciences and Informatics]
OMOP CDM Oncology WG - CDM/Vocabulary Subgroup Meeting - Thursday at 2pm ET
URL: Launch Meeting - Zoom
Wiki: https://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:oncology-sg
EHR WG - Friday at 10am ET
URL: Launch Meeting - Zoom
Wiki: https://www.ohdsi.org/web/wiki/doku.php?id=projects:workgroups:ehr-wg
You can find a full list of upcoming OHDSI meetings here: https://docs.google.com/document/d/1X0oa9R-V8cwpF1WQZDJOqcXZguPKRiCZ6XrQ2zXMiuQ/edit
ANNOUNCEMENTS
2020 OHDSI Symposium After much deliberation, the OHDSI steering group has made the decision to make this year’s symposium a virtual event. While we’re still working out the details on what we’ll be able to offer we fully intend for the 4-days to incorporate all the elements we had originally planned. More details will be made available shortly. In the meantime, please mark these important dates in your calendar:
- October 18-21st - Symposium dates
- July 16th - Abstract submission deadline
New Teleconferencing Details for OHDSI Community Calls - Our weekly OHDSI community calls, which take place every Tuesday at noon will no longer be hosted via webex. For the time being, these calls will be hosted via Zoom. The details to join are:
Zoom Meeting URL: https://columbiacuimc.zoom.us/j/945377669
Meeting ID: 945 377 669
COVID-19 Virtual Study-a-thon - To contribute to the COVID-19 response, the OHDSI community hosted a virtual study-a-thon on March 26-29th. For videos from this event, check out this forum post: FINAL GLOBAL UPDATE: #OHDSICOVID19 Study-A-Thon (video link posted)
And keep up-to-date on all post study-a-thon activities here: COVID-19 Updates Page – OHDSI
COMMUNITY PUBLICATIONS
Markov-modulated continuous-time Markov chains to identify site- and branch-specific evolutionary variation in BEAST.
https://europepmc.org/article/med/32415977
Communicating Adverse Drug Reaction Insights Through Patient Organizations: Experiences From a Pilot Study in the Netherlands
Ten simple rules for making training materials FAIR
Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data