Clinical Trial
Onboarding
Accelerator
Peraison helped CG Oncology remove a major clinical operations bottleneck by transforming a slow, paper-heavy patient onboarding process into a scalable, AI-enabled workflow for bladder cancer trials.
Each patient previously required five to six hours of manual review across fragmented documents and large PDF packs, with time lost handling missing or unclear information and no central place to manage documents, assessments, or outcomes.
Peraison delivered a production-grade onboarding accelerator that automates document ingestion, patient profiling, and eligibility assessment against trial-specific criteria, with evidence-based recommendations and full traceability.
The result was a repeatable onboarding capability that improves speed, consistency, and operational control, enabling trials to scale without adding headcount.
Onboarding time reduced from hours to minutes
Patient review times dropped from multiple hours to minutes by automating document handling, profiling, and eligibility assessment.
Increased trial capacity without increasing clinical operations headcount
The accelerator enabled CG Oncology to scale onboarding throughput and support larger cohorts across multiple
trials without adding additional onboarding staff.
Stronger control & better site engagement through a single onboarding hub
A central, secure repository improved governance and reduced operational risk, while faster and clearer feedback strengthened relationships with trial sites.

Modern Data Solutions for
pharmaceuticals & Biotech
Accelerating Pharma & Biotech With Data & AI
Bring together research and laboratory data with scientific knowledge to prioritise targets and make faster go or no-go decisions. Enable teams to compare results across studies, reduce duplication, and collaborate with confidence, cutting time spent reconciling inputs and accelerating progression from discovery to development.
Improve trial feasibility, site selection, enrolment, and delivery by combining operational data from start-up, monitoring, and site performance. Link clinical, patient-reported, imaging, and real-world data to strengthen evidence, shorten timelines from first patient in to database lock, and improve decision-making.
Use patient, investigator, and site data to improve recruitment, retention, and diversity outcomes. Identify drop-off points, optimise outreach and communications, and prioritise sites that deliver. Provide clear performance views that help clinical teams intervene early and keep studies on track across regions.
Strengthen data governance, traceability, and audit readiness across GxP processes with controlled datasets and clear lineage. Improve inspection readiness, reduce remediation effort, and support submission-ready reporting by embedding quality checks, validation-aligned controls, and consistent definitions across clinical, safety, quality, and manufacturing data.
Accelerate case processing and strengthen safety monitoring with better data quality, automation, and analytics across pharmacovigilance workflows. Integrate safety, clinical, and medical data to support faster triage, earlier detection of emerging issues, and more consistent reporting, while reducing manual effort and operational backlog
Improve batch visibility, quality performance, and supply reliability by connecting CMC, manufacturing, and logistics data end to end. Identify drivers of deviations, yield loss, and downtime, strengthen release readiness, and support planning decisions that protect service levels and reduce cost across sites and partners.
Build modern data foundations that make life sciences data trusted, governed, and ready for scale. Accelerate cloud and platform modernisation, improve data quality and lineage, and enable reusable data products that support analytics, automation, and AI use cases across R&D, clinical, safety, quality, and manufacturing.
Our Pharmaceuticals & Biotech stories & insights
Explore the real‑world impact of our work across pharmaceuticals and biotech, with stories and insights showing how data, AI, and technology deliver measurable outcomes.
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