WEEKLY COMMUNITY CALL MEETING
Please join us Tuesday, Nov. 8 (11 am ET) for presentations from the OHDSI 2022 Collaborator Showcase. The four recipients of the Best Community Contribution Awards have been invited to present their research during this week’s session. The honorees were:
Data Standards: Analyzing the Effect of Hypertension on Retinal Thickness Using Radiology Common Data Model (R-CDM) (Chul Hyoung Park, Rae Woong Park, Sang Jun Park, Da Yun Lee, Seng Chan You, Ki Hwang Lee)
Methodological Research: Assessing Racial Fairness of Dialysis Allocation in End-Stage Renal Disease (Linying Zhang, Lauren R. Richter, David M. Blei, Yixin Wang, Anna Ostropolets, Noemie Elhadad, George Hripcsak)
Open-Source Analytics: Cohort Definition Validation in Atlas (Charity Hilton, Saul Crumpton, Jon Duke)
Clinical Applications: A Pilot Characterization Study Assessing Health Equity in Mental Healthcare Delivery within the State of Georgia (Jacob Zelko, Malina Hy, Varshini Chinta, Emily Liau, Morgan Knowlton, Jon Duke)
Everybody is invited. Calendar invites for our 2022 community calls go out each Friday. If you did not receive one, please use this link to join the meeting. All recordings from these weekly meetings will be posted on both our main OHDSI Teams tenant and on our OHDSI.org Community Calls page.
OMOP CDM Oncology WG – Genomic Subgroup Meeting: Tuesday, Nov. 8 at 9am ET (Meeting Link)
Meetings are traditionally scheduled for the 2nd and 4th Tuesdays of each month at 9am ET MEETING IS CANCELLED
Common Data Model WG – VOCABULARY Subgroup: Tuesday, Nov. 8 at 12pm ET (Meeting Link)
Meetings are traditionally scheduled for the second and fourth Tuesdays of each month at 12:00 ET, alternating with the general CDM WG
OMOP CDM Oncology WG- Outreach/Research Subgroup: Tuesday, Nov. 8 at 3pm (ET) (Meeting Link)
Meetings are traditionally scheduled for the 2nd and 4th Tuesdays of each month at 3pm ET MEETING IS CANCELLED
Eyecare & Vision Research WG : Tuesday Nov 8 at 6pm (Meeting Link)
Beginning in September: meetings will be alternating 2nd Tuesday at 6 PM EST and 2nd Monday at 4 PM EST
FHIR and OMOP WG- Digital Quality Measurements Subgroup: Wed, Nov. 9 at 10am ET (Meeting Link)
Meetings are traditionally scheduled for every other Wednesday at 10am ET. NOTE: This meeting takes place on Zoom but please check the Teams Work Group for information and updates (Meeting ID: 836 4585 6405; Passcode: 552204)
Open-Source Community WG: Wednesday, Nov. 9 at 11am ET (Meeting Link)
Meetings are traditionally scheduled for every other Wednesday at 11am ET.
Natural Language Processing WG: Wednesday, Nov. 9 at 2pm ET ( Meeting Link)
Meetings are traditionally scheduled for the second Wednesday of each month at 2pm ET
Patient-Level Prediction (PLP) WG: Wednesday, Nov. 9 at 9am ET ( Meeting Link) TBD
Meeting schedule to come. THIS IS A NEW WORK GROUP IN TEAMS
FHIR and OMOP WG-Oncology Subgroup: Thursday, Nov. 10 at 12pm ET (Meeting Link)
Meetings are traditionally scheduled for every Thursday at 12pm ET
Dentistry WG: Thursday, Nov. 10 at 7pm ET (Meeting Link)
Meetings are traditionally scheduled for every Thursday at 7pm ET.
Phenotype Development and Evaluation WG: Friday, Nov. 11 at 9am ET (Meeting Link)
Meetings are traditionally scheduled for the second and fourth Fridays of each month at 9am ET.
GIS-Geographic Information System WG DEVELOPMENT Meeting: Friday, Nov. 11 at 9am ET (Meeting Link)
Meetings are traditionally scheduled for every other Friday at 9am ET.
Clinical Trials WG: Friday, Nov. 11 at 10:15am ET (Meeting Link)
Meetings are traditionally scheduled for every other Friday at 10:15am ET.
China Chapter WG: Friday, Nov. 11 at 10pm ET (Meeting Link)
Meetings are traditionally scheduled for the second Friday of each month at 10pm ET. Note: this meeting does not take place in MS Teams.
Congratulations to the team of Wallis C.Y. Lau, Carmen Olga Torre, Kenneth K.C. Man, Henry Morgan Stewart, Sarah Seager, Mui Van Zandt, Christian Reich, Jing Li, Jack Brewster, Gregory Y.H. Lip, Aroon D. Hingorani, Li Wei, and Ian C.K. Wong on the publication of Comparative Effectiveness and Safety Between Apixaban, Dabigatran, Edoxaban, and Rivaroxaban Among Patients With Atrial Fibrillation in Annals of Internal Medicine.
Congratulations to the team of Xiao Wang, Wenwang Rao, Xueyan Chen, Xinqiao Zhang, Zeng Wang, Xianglin Ma, Qinge Zhang on the publication of The sociodemographic characteristics and clinical features of the late-life depression patients: results from the Beijing Anding Hospital mental health big data platform in BMC Psychiatry.
Congratulations to the team of Emily Jefferson, Christian Cole, Shahzad Mumtaz, Sam Cox, Tom Giles, Samuel Adejumo, Esmond Urwin, Daniel Lea, Calum Macdonald, Joseph Best, Erum Masood, Gordon Milligan, Jenny Johnston, Scott Horban, Ipek Birced, Christopher Hall, Aaron S Jackson, Clare Collins, Sam Rising, Charlotte Dodsley, Jill Hampton, Andrew Hadfield, Roberto Santos, Simon Tarr, Vasiliki Panagi, Joseph Lavagna, Tracy Jackson, Antony Chuter, Jillian Beggs, Magdalena Martinez-Queipo, Helen Ward, Julie von Ziegenweidt, Frances Burns, Joanne Martin, Neil Sebire, Carole Morris, Declan Bradley, Rob Baxter, Anni Ahonen-Bishopp, Amelia Shoemark, Ana M Valdes, Benjamin Ollivere, Charlotte Manisty, David Eyre, Stephanie Gallant, George Joy, Andrew McAuley, David W Connell, Kate Northstone, Katie Jeffery, Emanuele Di Angelantonio, Amy McMahon, Mat Walker, Malcolm Gracie Semple, Jessica Mai Sims, Emma Lawrence, Bethan Davies, John Kenneth Baillie, Ming Tang, Gary Leeming, Linda Power, Thomas Breeze, Natalie Gilson, Paul Smith, Duncan Murray, Chris Orton, Iain Pierce, Ian Hall, Shamez Ladhani, Matthew Whitaker, Laura Shallcross, David Seymour, Susheel Varma, Gerry Reilly, Andrew Morris, Susan Hopkins, Aziz Sheikh, and Philip Quinlan on the publication of CO-CONNECT: A hybrid architecture to facilitate rapid discovery and access to UK wide data in the response to the COVID-19 pandemic in the Journal of Medical Internet Research.
Congratulations to the team of Tianchu Lyu, Chen Liang, Jihong Liu, Berry Campbell, Peiyin Hung, Yi-Wen Shih, Nadia Ghumman, Xiaoming Li, and members of the National COVID Cohort Collaborative Consortium on the publication of Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19 in PLOS ONE.
The 2022 Asia-Pacific (APAC) Symposium will be held Nov. 12-13 at the Taipei Medical University in Taiwan. There will be both in-person and remote components to this event, which will include tutorials on Nov. 12 and the main conference on Nov. 13. More information and registration links are available here.
The next edition of the Early-Stage Researcher workgroup Career Speaker Series will be held Monday, Nov. 14 from 11 am – 12 pm, and will feature a conversation with Rupa Makadia, Director, Observational Health Data Analytics, Johnson and Johnson. You can join this meeting here.
The latest edition of The Journey newsletter is now available, and includes all links from the OHDSI Symposium, as well as the monthly video podcast, October publications and presentations, community updates, and plenty more.
Do you represent a healthcare system that has adopted OMOP? The Healthcare Systems Interest Group is gathering evidence to support additional healthcare systems’ adoption decisions, and the workgroup wants to hear about the benefits your organization has realized. Please take this survey!
Volume 2 of Our Journey: Where the OHDSI Community Has Been, And Where We Are Going was announced and presented at the OHDSI Symposium. A PDF of the updated book is now available on OHDSI.org. If you are interested in ordering a set of books for your own institution, please send an email to Manny Khemai (firstname.lastname@example.org), who represents the printing company.
OHDSI Social Showcase
• The #OHDSISocialShowcase begins this week, as all the research from the OHDSI Symposium collaborator showcase will be presented on the Twitter and LinkedIn social feeds over the next several months. You can see the research and the respective leads that will be shared this week.
Monday: PHAROS, Platform for Harmonizing and Accessing Data in Real-time on Infectious Disease Surveillance Based on OMOP-CDM in Korea (Chungsoo Kim)
Tuesday: Understanding circe-be logic through Capr for generating complex cohort definitions (Martin Lavallee)
Wednesday: Characterization of first-line treatment for Breast Cancer and Multiple Myeloma using Electronic Health Record and Claims Databases (Maura Beaton)
Thursday: The Seasonality Score: A Quantitative Complement to Qualitative Seasonality Assessment (Anthony Molinaro)
Friday: Development of Lung Cancer Survival Prediction Models Based on Real-world Data and Machine Learning (Jason Hsu)
Northeastern University invites applications for multiple tenured/ tenure-track faculty positions in support of an Impact Engine centered on large-scale observational health data science and informatics to start in the fall of 2023. These faculty will be core members of our Real-World Healthcare Navigator (RWHN) Impact Engine which aims to change how research is translated into clinical practice by establishing a sustainable service that leads the way in fully reproducing health studies (https://impactengines.northeastern.edu/ie/rwhn/). Successful candidates will work closely with the OHDSI Center at Northeastern’s Roux Institute to develop and apply healthcare analytics in the real-world evidence (RWE) area with the goal of improving patient health outcomes. More information and an application link are available here.
• The OHDSI Center at the Roux Institute seeks a postdoctoral fellow to join their team focused on developing statistical methods and applying them to observational data from large-scale federated datasets (e.g. electronic health records and administrative claims data), with specific applications to the safety of biologics. This research will directly improve our ability to use real world data to characterize patient populations, construct population level estimates relating exposures to health outcomes, and to enhance clinical decision making through improved patient-level predictions. More information and an application link are available here.
• FDA/CDER’s Division of Hepatology and Nutrition is seeking a clinician with bioinformatics or biostatistics training to work with the Drug-Induced Liver Injury (DILI) Team to evaluate large datasets of liver-related data, collaborate on the Team’s review of drugs with hepatotoxicity signals, and help develop informatics-based processes in DILI evaluation across the Agency. Contact Judy Racoosin at email@example.com for information about the application process (that will be through USAJOBS).
• Andrew Williams recently announced two exciting new openings at Tufts Medicine. 1) Senior Project Manager for a multisite multiyear grant standardizing critical care EHR and waveform data. (CHoRUS Bridge2AI) 2) Lead software developer and research data warehouse manager for Tufts Medicine’s OMOP instance and related services. Remote work is possible for both positions. If you have questions, please reach out to Andrew at firstname.lastname@example.org.
• The Johns Hopkins OHDSI team has just put out an opening for a data scientist/statistical engineer position. The candidate is expected to help create further synergy between the domain expertise of Johns Hopkins’s Precision Medicine Centers of Excellence and the extensive health data network provided through our OHDSI collaboration. More details and an application link are available here.
Accessing MSTeams: To join OHDSI Teams, please fill out this form: Join OHDSI Teams
If you are already in the OHDSI Teams environment and you would like to join work groups in teams, please fill out this form: Join Workgroups, Chapters, and Studies
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Please continue to collaborate in our MS Teams environment, check out the OHDSI website and forums , and follow us on all platforms, including Twitter and LinkedIn to get continued updates and information on everything happening in our community