Data analysis software T4C

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Overview
Dedalus T4C (Trials4Care) enables enhanced healthcare data integration to support clinical research by bridging patients, healthcare providers and the life sciences industry. The solution leverages a broad clinical network and anonymised electronic health record data to support feasibility studies, retrospective analyses, cohort identification and real-world evidence generation while preserving patient privacy.

TRIALS4CARE SECURE RESEARCH ENVIRONMENT
Dedalus provides a secure research environment that enables collaboration across hospital networks by fully anonymising patient data extracted from electronic health records. Only aggregated or anonymised statistical outputs are shared for research purposes, allowing life sciences organisations to evaluate feasibility and express interest in recruiting cohorts without exposing identifiable patient information.

EDGE
T4C Edge enables in-hospital teams to store and process local data for research workflows. The component converts proprietary formats to FHIR, applies full anonymisation, and shares clinical metadata tags with the central component (T4C Gravity). Appliances may be deployed in hospital data centres or within the customer's cloud subscription to keep data control local.

SHIELD
Shield implements the security, governance and compliance layer for secondary use of patient data. It covers information security, network and application protection, data privacy and consent management, data quality, auditing and logging to ensure GDPR-compliant, legal and ethical sharing with external parties.

GRAVITY
Gravity is a centralized research network and Metadata Observatory enabling organisations to perform feasibility and retrospective studies, identify patients for recruitment and analyse real-world evidence using obscured/obfuscated metadata. Researchers can query the Research Hub for patient cohorts matching study criteria while maintaining strong privacy safeguards.

Key Benefits

• Provide patients with earlier access to innovative treatments and clinical trials.
• Improve efficiency of internal data analysis for research projects.
• Expand collaborative networks across the healthcare ecosystem.
• Develop research services aligned with industry needs.
• Attract external clinical research opportunities and additional funding.
• Access anonymised data from other network hospitals for investigator-led studies.
• Leverage existing IT investments and target operating models to support growth.
• Ensure integrity and precision of research datasets.

Key Features

• Native EMR connectors for seamless integration and generation of FHIR/OMOP-compliant research datasets.
• Automated deployment mechanisms for rapid, low-friction implementation.
• Shield security layer to enable secure collaboration with external parties while protecting sensitive data.
• Access to an expansive research network enabling additional funding and recruitment opportunities.
• Support for feasibility studies, retrospective analyses and targeted patient cohort recruitment.

Technical specifications

• Network footprint: access to a network of over 6000 hospitals and 540+ million anonymised patient records.
• Data handling: patient data extracted from electronic health records is fully anonymised before any sharing; only statistical/anonymised results are provided for research.
• Standards conversion: proprietary formats converted to FHIR; supports generation of FHIR and OMOP-compliant datasets.
• Deployment options: appliances can be hosted in hospital data centres or in cloud subscriptions under customer control.
• Privacy & compliance: GDPR alignment including consent management, data privacy controls and legal/ethical safeguards for secondary use.
• Security: comprehensive coverage including information security, network and application security, auditing and logging.
• Research platform capabilities: central Research Hub and Metadata Observatory for feasibility queries, retrospective studies and RWE analysis using obscured/obfuscated data.
• Operational features: automated deployment, native EMR connectors, data quality management and auditing.