Insights / Events
Clinion at SCDM 2026: Event Highlights & AI Innovations
What happens when AI moves beyond individual features and becomes part of the clinical data management workflow?
At SCDM 2026 in Raleigh, we explored that question through live demos, conversations with clinical research professionals, and sessions on how AI is shaping the broader clinical development landscape.
Key Highlights from the Event
Agentic Assistant: Bringing AI Together
The Clinion Agentic Assistant anchored our booth this year. Built into Clinion EDC, it connects protocol, clinical, and operational information, while supporting tasks such as report generation and Data Review. Through the Assistant, users can generate reports, review existing queries and study data, and raise new queries in Data Review, bringing these activities into one AI-driven workflow within the EDC.
One Booth, a Full AI Stack
Our booth showcased a full AI stack spanning the trial lifecycle, from eProtocol Generation, Protocol to CRF, AI CDASH Mapping, and Source to CRF at study build, through Remote SDV and Audit Trail Review for monitoring and quality, to AI Medical Coding, CSR Automation, and our Image Repository further downstream. Together, they reflect a single AI layer built to run consistently across the trial, not a set of disconnected point solutions.
AI Beyond Data Management
Our CEO, Manuj Vangipurapu, was a featured speaker for two sessions exploring AI’s role beyond traditional data management. His talks covered AI-assisted clinical protocol drafting and AI-driven signal detection for predictive, risk-based quality management. Both sessions drew strong engagement, with attendees raising questions around how AI can support different stages of clinical development, from study design through ongoing risk monitoring.
Conversations That Matter
The booth wasn’t just about demos; a lot of what we learned came from the questions people asked. Clinical research professionals wanted to know how connected AI would actually work alongside their current systems, what integration would look like in practice, and where it would fit into their day-to-day workflows. Those conversations gave us a clearer picture of what teams actually need before adopting AI into their workflows.
Looking Beyond SCDM 2026
SCDM 2026 gave us an opportunity to demonstrate how Clinion is applying AI across different stages of the clinical trial lifecycle and, equally importantly, to hear directly from the people navigating these challenges.
Thank you to everyone who visited our booth, attended our sessions, and shared their questions and experiences with the Clinion team.
Glimpses from the conference
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