System Integrations
Seamless data flow across CDMS/EDC, CTMS, RBQM, Safety & PPM systems.
Clean, connected, and compliant clinical data systems
Clean, connected, and compliant clinical data systems
Clinical data is only valuable when it is accurate, connected, and ready to use.
We help life sciences organizations bring fragmented data together into a trusted foundation that supports regulatory compliance, improves operational efficiency, and gives teams the confidence to make faster, better-informed decisions throughout the clinical trial lifecycle.
Two pillars. One connected data strategy.
Get your existing systems connected and their data clean enough to rely on.
What we enable
Seamless data flow across CDMS/EDC, CTMS, RBQM, Safety & PPM systems.
Automate routine workflows and build lightweight digital tools.
Implement and optimize clinical platforms for data and process efficiency.
Scalable architectures to standardize and harmonize data across systems.
Our work in practice
Data available, not analysis-ready
Central Monitors spent days on manual data prep before analysis could begin, pulling from EDC, audit trails, and vendor sources, with each monitor doing it differently and no shared process to rely on.
We built a validated, reusable data pipeline, so Central Monitors go straight to oversight work. No manual rebuild, no inconsistency between cycles.
Standardized flows from the data lake to CluePoints or equivalent RBM platforms, reusable across studies once built.
Prepped datasets delivered on request, cutting total analysis time by 30% and removing the manual effort that varied monitor to monitor.
Turn that reliable data into answers your teams can act on.
What we enable
Apply AI/ML & GenAI to automate reporting and optimize trial execution.
Actionable dashboards and real-time insights across trial operations.
Compliant analysis-ready datasets and statistical outputs using SAS, R, and Python.
Our work in practice
Answers to study questions take days
Clinical teams sit on large amounts of study data but can't access it without going through analysts or waiting in a reporting queue. Leaders can't see problems forming in real time, and study teams lose hours hunting for answers that should take seconds.
ORION turns clinical data into a workspace. Teams ask questions in plain language and get charts, tables, dashboards, and analyses they can edit, with AI suggesting the next.
Teams query enrollment, site performance, deviations, and safety in natural language. ORION returns editable insights and suggests follow-up questions for quick pivots.
Every answer is explainable and traceable to the question and data behind it. Results can be pinned to a dashboard, refreshed with live data, and exported.
Why i2e
We bring together clinical data engineering, system integration, workflow automation, analytics, AI, and platform expertise to help life sciences organizations build connected data foundations and turn reliable data into actionable intelligence.
Talk to our experts
Clinical data science is the application of analytics, statistics, and AI/ML techniques to clinical trial data to generate meaningful insights. It helps transform raw clinical data into predictive, actionable intelligence that improves trial outcomes and decision-making.
Clinical data management focuses on data collection, cleaning, and validation, while clinical data science goes a step further by analyzing that data to uncover trends, risks, and opportunities. In short:
Clinical data engineering focuses on building the foundation for integrated and scalable data systems. It includes:
By unifying data from multiple sources, clinical data integration provides a single source of truth, enabling:
