InductiveEDC

Metadata-Driven Electronic Data Capture for Modern Clinical Studies

From Intelligent Study Build to Faster Database Lock

InductiveEDC is designed to modernize how studies are built, validated, and prepared for downstream use. Through dynamic CDASH-compliant form design, edit check programming, validation logic, and AI-enabled auto validation, the platform helps teams reduce manual effort while improving consistency and control.

With standards-aligned workflows and support for SDTM-ready dataset generation with minimal manual intervention, InductiveEDC helps sponsors and CROs improve data quality earlier, reduce downstream rework, and accelerate database lock with greater confidence.

Core Features

Built to accelerate study build, improve data quality, and shorten the path to database lock.

Configure studies through a structured metadata-driven foundation that improves consistency, supports reuse, and accelerates setup across study environments

Dynamic Form Design

Design CDASH-compliant forms dynamically to reduce manual build effort, improve standardization, and support faster study deployment.

Edit Check Programming & Validation Logic

Configure robust edit checks and validation rules to identify discrepancies early, improve data quality, and reduce downstream rework.

AI-Enabled Auto Validation

Apply AI-enabled validation to detect issues faster, reduce manual review burden, and strengthen confidence in data capture and review workflows.

Query & Discrepancy Management

Manage data queries and discrepancies through streamlined workflows that support faster resolution, better collaboration, and improved study control.

Role-Based Workflow Control

Support secure, role-specific access and governed workflows across study teams, helping ensure control, accountability, and traceability.

External Data Integration Readiness

Enable ingestion and alignment of data from labs, devices, and other external sources to support more connected and complete study data workflows.

Operational Dashboards & Study Oversight

Provide real-time visibility into study progress, data status, query trends, and operational metrics to support informed decisions and proactive oversight.

SDTM-Ready Dataset Generation

Support dynamic generation of SDTM-ready datasets with minimal manual intervention, helping reduce conversion effort and accelerate downstream readiness.

Faster Database Lock Enablement

Reduce reconciliation cycles, improve issue resolution, and support cleaner data workflows that help teams reach database lock faster.

Study Types We Support

InductiveEDC is designed to support a broad range of clinical and research study models through a flexible, metadata-driven platform.

Clinical Trials

Support Phase I - IV and other interventional studies with structured data capture, validation, and review workflows.

Medical Device Studies

Enable flexible study setup and compliant data collection for device investigations and performance studies.

Real-World Studies

Capture and manage data for non-interventional, observational, and routine-care research programs.

Epidemiology Studies

Support longitudinal, cross-sectional, and population-based studies across diverse research settings.

Academic & Investigator-Initiated Studies

Provide configurable workflows for academic institutions, research networks, and investigator-led programs.

Post-Marketing & Registry Studies

Support post-approval data collection, registries, and long-term follow-up studies with scalable oversight.

Hybrid & Decentralized Studies

Support modern study models with flexible workflows for distributed data capture and remote participation.

Ready to Modernize Your EDC?

See how InductiveEDC can accelerate your clinical program with a personalized demo.

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