Hospitals, Health Systems and Academic Medical Centers

Clinical Research Data Management Software

Unleash the value of your clinical data and scale your research operations to enable improved quality of care and outcomes across your organization with a platform unlike any research PACS you’ve ever known.

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Streamline Your Clinical Data Management and Optimize Your Research Efforts

Flywheel helps you efficiently aggregate, curate, and manage imaging and related data from multiple sources. Our cloud-based solutions can accelerate your research and provide for secure, regulatory-compliant collaboration. With tools to index, ingest, and curate data as well as automate processing and machine learning pipelines, Flywheel is an end-to-end clinical research data management solution.

End-to-End Clinical Research Data Management Solutions

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Secure Multi-Center Collaboration

  • Streamlined discovery of patient cohorts with PACS and EMR integration
  • Index and search metadata and radiology reports
  • Quality controls and automated pre-processing and pipelines
  • Customization via APIs, Python, and Matlab
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Machine Learning

  • Maximize value with a scalable machine learning solution
  • Streamline labeling, classification, and image annotation
  • Manage blind reader studies
  • Automate processing and training workflows
  • Deploy models for translational testing
  • Provenance to support regulatory approvals
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Clinical Trials

  • Streamline data collection, processing, and sharing
  • Secure imaging data transfer and verification
  • De-identification workflow
  • Research workflow automation
  • 21 CFR Part 11 compliant data management
  • Connectivity with preferred imaging workstations
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Peter McCaffrey

“Flywheel allows us to extract maximum value out of the assets we already have by standardizing data pipelines across all research projects. We are able to much more quickly access and collaborate on data while feeling confident that everyone is working off a shared, secure dataset that is always current. Our researchers are able to work much more efficiently on artificial intelligence and collaborative research while spending less time managing data.”

Peter McCaffrey, MD

University of Texas Medical Branch Director of Pathology Informatics; Director of Bioinformatics and Artificial Intelligence; Director of Laboratory Information Services; and Assistant Professor of Pathology

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