Clinical Trial Patient Technology Articles
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Why Clinical Trial Technology Often Redistributes Work, Not Reduces It
11/9/2026
A Duke research program leader breaks down where trial technology genuinely saves site staff time and where it just relocates the same work.
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The 'Swivel Chair' Problem Slowing Down Clinical Trials
11/5/2026
A community hospital research director explains why trial data still can’t flow between the EMR and sponsor EDC systems, and what would fix it.
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How A Duke Coordinator Turned An EHR Tool Into A Feasibility Engine
11/2/2026
A Duke research program leader explains how she repurposed Epic’s Slicer Dicer tool to speed up site qualification and catch enrollment risk before it starts.
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Inside Blessing Health's Move From 300 Systems To One EMR
10/29/2026
Blessing Health’s research director built a department from scratch in 2020, then led its move off a fragmented legacy EMR onto Epic.
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The Infrastructure Behind Virtua Health's Push Toward 1.5 Million Studies A Year
10/19/2026
How Virtua Health is rebuilding its imaging infrastructure – cloud migration, Epic integration, and vendor security gaps – to keep pace with volume.
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Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
10/12/2026
Inside Virtua Health’s AI governance model, where senior operational leaders rank every project, and IT holds no vote.
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Inside Virtua Health's Pipeline For Anonymizing Trial Imaging Data
10/5/2026
How Virtua Health vets, trains, and re-engineers its imaging technology to safely anonymize data for clinical trial research.
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AI Governance Is Becoming A Competitive Edge In Trials
10/1/2026
Strong data hygiene, formal governance, and human oversight are becoming essential to responsible, scalable AI adoption in clinical trials.
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From 73% Noncompliant To 2.4%: Building A Compliance Office
9/28/2026
How one research administrator cut a university's clinical trial disclosure noncompliance from 73% to 2.4% in two years, then built a second office.
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Four Stages Of Clinical Research Technology Maturity
9/21/2026
A 30-year clinical research veteran outlines four stages of technology maturity and explains why organizations often misjudge their own readiness.