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Research Workflow

Current Problem

Labs create their own workflow preventing ease of sharing and compatibility across labs.

Flywheel’s Solution

Capture data at the time it is created, store it in a widely accepted research hierarchy, run automated processing and QA, and even higher level analytics all in one location and workflow.

PACS Integration

Current Problem

Getting data out of the PACS is typically a difficult and time consuming manual process. 

Flywheel’s Solution

Automated data capture and de-identification that corresponds to your projects’ scope and needs.

Reproducibility

Current Problem

A large portion of researchers can’t reproduce their own findings.

Flywheel’s Solution

Well packaged and documented analyses for easy reproducibility.

External Collaboration

Current Problem

Collaborating externally throughout the project, and not simply at the end of the project, is difficult or impossible while trying to maintain proper security and consistency.

Flywheel’s Solution

Easily share your data with well-scoped permissions with people inside or outside your institution.

Pipelines & Analytics

Current Problem

Traditional batch processing and running high performance compute systems is difficult for most.

Flywheel’s Solution

Focus on your algorithm and science while Flywheel scales it for you with automated elastic compute.

Historical & External Data

Current Problem

Operations are done in multiple disconnected databases, such as questionnaires stored in REDCap, response data on an excel file, and imaging stored in a file system.

Flywheel’s Solution

Store and view your project all in one location.  Keep your peripheral data right alongside your primary data.

HIPAA Compliance

Current Problem

De-identified and identified data can’t live together, lack of control regarding how different people view the same data and no ability to customize what you de-identify.

Flywheel’s Solution

Data is de-identified to the minimum needed for it’s intended use.  We create an environment where low-risk data and higher-risk patient data can live side-by-side while managed with permissions and security within the platform.

Data Privacy

Current Problem

File systems have very coarse permissions, not allowing flexibility to share data at different permission levels.

Flywheel’s Solution

Numerous levels of permissions allowing the flexibility to easily manage who can view and/or edit or transform data.

Data Reuse

Current Problem

Data is collected for a single purpose and unsearchable.  It is difficult to reuse data as there’s no visibility to what others have or often what we have ourselves.

Flywheel’s Solution

Fully indexed search allows for the discoverability and reuse of data.

Archive & Protect Data

Current Problem

Data is stored in different locations on local servers, flash drives and there’s risk of losing or misplacing data.

Flywheel’s Solution

We leverage the sophistication and security of market leaders’ archive storage durability in the cloud.

Productivity & Convenience

Current Problem

Data transfers are manual, error prone and insecure. 

Flywheel’s Solution

Automated and secure collection of data with defined processing kicked-off immediately all in one location.

Multi-Center Collaboration

Current Problem

There is no central location to securely store and share data during a project.

Flywheel’s Solution

Secure, organized and sharable archive of data with little to no effort by the researcher.  Share data while you are working on your project and do all analysis in the same location.