3 Takeaways: SCOPE 2022 Summit for Clinical Operations Executives
February 18, 2022 -- At our first in-person conference in over a year, the QuartzBio team had a chance to connect with biomarker operations and clinical operations teams in Orlando, Florida, earlier this month.
In the “Clinical Biomarkers Operations and Innovation” track, we joined discussions on the latest approaches to structuring clinical sample management to best support complex biomarker-informed clinical trials.
Here are three recurring challenges we heard about at SCOPE this year:
Read More →Webinar On Demand: Keeping Track of Clinical Samples in Biomarker-Rich Clinical Trials
Title: Keeping Track of Clinical Samples in Biomarker-Rich Clinical Trials
Duration: 30 minutes
Learn how clinical operations and translational teams are creating “sponsor-centric” visibility to reconcile sample status and location on-study.
Read More →Join QuartzBio at the SCOPE 2022 Summit for Clinical Operations Executives
Join QuartzBio at the SCOPE 2022 Summit for the “Clinical Biomarkers Operations and Innovation” track on February 8-9.
PRESENTATION: "30 Days to an Annotated Virtual Repository -- Without Changing DTAs"
Clinical and biomarker operations teams can create ongoing visibility into sample collection, processing and testing by linking biospecimen metadata, informed consent, and biomarker data across multiple LIMS and inventories.
Mike Waters will share how teams are using technology to access a single source of truth for sample inventory management.
On Demand Webinar: Advancing Clinical Sample Management with a Virtual Sample Repository
Title: Advancing Clinical Sample Management with a Virtual Sample Repository
Duration: 30 minutes
You’ll see how a virtual repository delivered via QuartzBio's translational hub provides visibility into clinical sample status:
- Sample visibility across studies, central labs, third party vendors, biorepositories, and disparate source systems
- KPI dashboards that report sample status including collection, processing, testing, consent, expiration – while highlighting collection gaps and discrepancies.
- Dynamic visualizations to quickly review expected vs actual sample status by patient, time point, and assay type
