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DTSTART:20001029T030000
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BEGIN:VEVENT
UID:20260702T230058Z - 75788@5dac2d9de651
DTSTART;TZID=Europe/Brussels:20260723T160000
DTEND;TZID=Europe/Brussels:20260723T173000
CREATED:20260702T230058Z
DESCRIPTION:<a href="https://community-scdm.org/event/scdm-webinar-18/regis
 ter">SCDM Webinar | </a>\nSCDM Webinar Closing the RBQM Adoption Gap: An A
 I-Guided Action Path from Risk Signals to Supervised Execution Description
 : "Clinical development does not lack visibility into operational risk. Ri
 sk-Based Quality Management has given study teams more dashboards\, key ri
 sk indicators\, and central monitoring signals than at any point in the in
 dustry’s history. What remains constrained is the capacity to translate 
 those signals into timely\, coordinated\, and documented action across fun
 ctions and systems. This constraint is now a regulatory one. ICH E6(R3) Pr
 inciples and Annex 1 reached final adoption in January 2025\, became effec
 tive across the EU on July 23\, 2025\, and were published by the FDA in Se
 ptember 2025\, with the MHRA and Health Canada following. RBQM is no longe
 r encouraged practice - it is the operating model regulators expect across
  the trial lifecycle. Yet adoption remains uneven\, and the gap sits preci
 sely where it matters most. Industry research from the Tufts Center for th
 e Study of Drug Development\, conducted with CluePoints and PwC across 206
  respondents and 32 distinct RBQM components\, found that organizations im
 plement RBQM in 57% of clinical trials on average. Adoption is highest in 
 documentation and resolution at 60% and lowest in execution at 52%. Smalle
 r sponsors running fewer than 25 trials a year sit at 48%\, against 63% at
  organizations running more than 100. The barriers identified are organiza
 tional rather than technical: limited cross-functional knowledge and aware
 ness\, mixed perceptions of the value proposition\, and weak change manage
 ment in planning and execution. This is the RBQM adoption gap - the distan
 ce between regulatory expectation\, demonstrated value\, and what study te
 ams can consistently operationalize. Clinical data professionals sit at it
 s center. They surface the signals and document the decisions\, but much o
 f the [...]
DTSTAMP:20260702T230058Z
SUMMARY:SCDM Webinar | 
X-ALT-DESC;FMTTYPE=text/html:<a href="https://community-scdm.org/event/scdm
 -webinar-18/register">SCDM Webinar | </a>\nSCDM Webinar Closing the RBQM A
 doption Gap: An AI-Guided Action Path from Risk Signals to Supervised Exec
 ution Description: "Clinical development does not lack visibility into ope
 rational risk. Risk-Based Quality Management has given study teams more da
 shboards\, key risk indicators\, and central monitoring signals than at an
 y point in the industry’s history. What remains constrained is the capac
 ity to translate those signals into timely\, coordinated\, and documented 
 action across functions and systems. This constraint is now a regulatory o
 ne. ICH E6(R3) Principles and Annex 1 reached final adoption in January 20
 25\, became effective across the EU on July 23\, 2025\, and were published
  by the FDA in September 2025\, with the MHRA and Health Canada following.
  RBQM is no longer encouraged practice - it is the operating model regulat
 ors expect across the trial lifecycle. Yet adoption remains uneven\, and t
 he gap sits precisely where it matters most. Industry research from the Tu
 fts Center for the Study of Drug Development\, conducted with CluePoints a
 nd PwC across 206 respondents and 32 distinct RBQM components\, found that
  organizations implement RBQM in 57% of clinical trials on average. Adopti
 on is highest in documentation and resolution at 60% and lowest in executi
 on at 52%. Smaller sponsors running fewer than 25 trials a year sit at 48%
 \, against 63% at organizations running more than 100. The barriers identi
 fied are organizational rather than technical: limited cross-functional kn
 owledge and awareness\, mixed perceptions of the value proposition\, and w
 eak change management in planning and execution. This is the RBQM adoption
  gap - the distance between regulatory expectation\, demonstrated value\, 
 and what study teams can consistently operationalize. Clinical data profes
 sionals sit at its center. They surface the signals and document the decis
 ions\, but much of the [...]
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