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BEGIN:VEVENT
UID:20261101T172959Z - 77551@5b037afdca81
DTSTART;TZID=Europe/Brussels:20261117T160000
DTEND;TZID=Europe/Brussels:20261117T173000
CREATED:20261101T172959Z
DESCRIPTION:<a href="https://community-scdm.org/event/scdm-webinar-26/regis
 ter">SCDM Webinar | </a>\nDescription: Clinical research is undergoing a p
 eriod of rapid innovation\, requiring clinical data managers (CDMs) to ada
 pt and lead the frontline of change. Driven by ICH E6(R3) mandates for ris
 k- and value-proportionate actions\, sponsors and CROs are integrating ris
 k-based quality management (RBQM) into clinical data workflows. Explore ho
 w CDMs can work cross-functionally to adopt risk-based methods using a dat
 a catalog to classify data concepts and criticalities. Extend your impact 
 by automating manual workflows across the data lifecycle\, from aggregatio
 n and cleaning to protocol deviations and reporting\, and shifting focus t
 o strategic data orchestration. Key take aways:How to collaborate more eff
 ectively with clinical teams to drive proactive change Use a data catalogu
 e that stores and understands study endpoints and their criticality Levera
 ge AI-augmented automation to enable RBQM Pavel Burmenko Team Lead\, DQS S
 trategy Veeva Pavel Burmenko started in the industry as a SAS programmer a
 nd progressed to leading global teams\, developing processes\, and innovat
 ing new solutions to drive better outcomes for clinical trials. Leading st
 rategy for Veeva's Data Quality System (DQS) workbench\, Pavel is responsi
 ble for helping data managers at sponsors and CROs adopt more efficient to
 ols and processes\, with an emphasis on automation and risk-based approach
 es.
DTSTAMP:20261101T172959Z
SUMMARY:SCDM Webinar | 
X-ALT-DESC;FMTTYPE=text/html:<a href="https://community-scdm.org/event/scdm
 -webinar-26/register">SCDM Webinar | </a>\nDescription: Clinical research 
 is undergoing a period of rapid innovation\, requiring clinical data manag
 ers (CDMs) to adapt and lead the frontline of change. Driven by ICH E6(R3)
  mandates for risk- and value-proportionate actions\, sponsors and CROs ar
 e integrating risk-based quality management (RBQM) into clinical data work
 flows. Explore how CDMs can work cross-functionally to adopt risk-based me
 thods using a data catalog to classify data concepts and criticalities. Ex
 tend your impact by automating manual workflows across the data lifecycle\
 , from aggregation and cleaning to protocol deviations and reporting\, and
  shifting focus to strategic data orchestration. Key take aways:How to col
 laborate more effectively with clinical teams to drive proactive change Us
 e a data catalogue that stores and understands study endpoints and their c
 riticality Leverage AI-augmented automation to enable RBQM Pavel Burmenko 
 Team Lead\, DQS Strategy Veeva Pavel Burmenko started in the industry as a
  SAS programmer and progressed to leading global teams\, developing proces
 ses\, and innovating new solutions to drive better outcomes for clinical t
 rials. Leading strategy for Veeva's Data Quality System (DQS) workbench\, 
 Pavel is responsible for helping data managers at sponsors and CROs adopt 
 more efficient tools and processes\, with an emphasis on automation and ri
 sk-based approaches.
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