DISQOVER for Clinical, developed by ONTOFORCE, is a software-as-a-service (SaaS) platform designed to accelerate and optimize clinical research and development. It integrates, harmonizes, and analyzes clinical trial data from public and private sources using an ontology-based knowledge graph and advanced semantic search. The platform enables researchers to identify clinical trial opportunities, design studies, assemble virtual patient cohorts, and extract actionable insights through customizable dashboards and secure, user-friendly interfaces. DISQOVER supports data-driven decision-making across the clinical development lifecycle, from trial planning to patient recruitment and regulatory compliance.

Key Features

Integrated clinical data aggregation Combines and harmonizes data from multiple clinical trial repositories and internal sources.

• Automatically recognizes and merges duplicate study records.
• Standardizes filter criteria (e.g., trial phase, intervention type, sponsor, site).

Semantic search and advanced filtering Enables precise identification of relevant studies, sites, and patient populations.

• AI-powered semantic search and natural language querying.
• Backtracking links to concepts such as indication, intervention, sponsor, and investigator.

Virtual cohort builder Facilitates rapid assembly and analysis of virtual patient cohorts.

• Links and integrates all relevant clinical trial data.
• Out-of-the-box Study Data Tabulation Model (SDTM) pipeline for accelerated data ingestion.

Customizable dashboards and visualization Provides comprehensive, role-based insights for different stakeholders.

• Tabular and graphical views for exploring and comparing datasets.
• Export capabilities for downstream analysis.

Secure, compliant, and interoperable architecture Ensures data privacy and regulatory compliance.

• ISO-certified with robust authentication and authorization.
• Supports plug-ins and third-party integrations for extensibility.

Benefits

Accelerated clinical trial design and execution Reduces time and complexity in identifying opportunities and assembling cohorts.

• Streamlines access to harmonized, high-quality clinical data.
• Enables faster hypothesis testing and study planning.

Improved data-driven decision-making Empowers researchers and clinicians with actionable insights.

• Facilitates evidence-based trial design and patient recruitment.
• Enhances collaboration and knowledge sharing across teams.

Enhanced data security and compliance Protects sensitive patient and study data.

• Ensures only authorized personnel access confidential information.
• Supports regulatory requirements for clinical research.