InductiveEDC

InductiveEDC is a metadata-driven electronic data capture platform developed by Inductive Quotient for sponsors and CROs running regulated clinical studies. It is designed to modernize study build, data validation, and database lock preparation through structured, CDASH-compliant workflows and standards-aligned dataset generation.

The platform supports the full data lifecycle from initial study configuration through to SDTM-ready dataset generation, with the goal of reducing manual effort, improving data quality earlier in the process, and shortening reconciliation cycles ahead of database lock.

Core Platform Features

• Dynamic Form Design: Forms are built to CDASH compliance standards dynamically, reducing manual build effort and supporting faster study deployment with greater standardization.
• Edit Check Programming and Validation Logic: Configurable edit checks and validation rules identify discrepancies early to improve data quality and reduce downstream rework.
• AI-Enabled Auto Validation: AI-assisted validation detects issues faster, reduces manual review burden, and supports confidence in data capture and review workflows.
• Query and Discrepancy Management: Streamlined workflows manage data queries and discrepancies to support faster resolution, team collaboration, and study control.
• Role-Based Workflow Control: Role-specific access and governed workflows provide control, accountability, and traceability across study teams.
• External Data Integration Readiness: Supports ingestion and alignment of data from laboratories, devices, and other external sources to enable more complete study data workflows.
• Operational Dashboards and Study Oversight: Real-time visibility into study progress, data status, query trends, and operational metrics supports informed decisions and proactive oversight.
• SDTM-Ready Dataset Generation: Dynamic generation of SDTM-ready datasets with minimal manual intervention reduces conversion effort and accelerates downstream readiness.
• Faster Database Lock Enablement: Reduced reconciliation cycles and improved issue resolution support cleaner data workflows and faster database lock.

Supported Study Types

• Clinical Trials: Supports Phase I through Phase IV and other interventional studies with structured data capture, validation, and review workflows.
• Medical Device Studies: Enables flexible study setup and compliant data collection for device investigations and performance studies.
• Real-World Studies: Captures and manages data for non-interventional, observational, and routine-care research programs.
• Epidemiology Studies: Supports longitudinal, cross-sectional, and population-based studies across diverse research settings.
• Academic and Investigator-Initiated Studies: Provides configurable workflows for academic institutions, research networks, and investigator-led programs.
• Post-Marketing and Registry Studies: Supports post-approval data collection, registries, and long-term follow-up studies with scalable oversight.
• Hybrid and Decentralized Studies: Supports distributed data capture and remote participation models through flexible workflows.

Platform Foundation

• Built on a structured metadata-driven foundation that improves consistency, supports configuration reuse, and accelerates setup across study environments.
• Standards-aligned workflows support CDASH-compliant form design and SDTM-ready output with minimal manual intervention.
• Designed to serve a broad range of clinical and research study models through a flexible, configurable architecture.

InductiveEDC is positioned for sponsors and CROs seeking to reduce manual data management effort, improve data quality at the point of capture, and accelerate the path from study build to database lock across a wide range of regulated and non-interventional study types.