Medical Imaging Software: The Synergy Between GaelO & GaelO Flow
At Pixilib, we wanted to create a comprehensive solution for medical imaging research. We wanted to address all aspects of research from monocentric studies to prospective international multicentric clinical trials. We wanted efficiency but also security and data sovereignty.
We landed with 2 software for medical imaging research:

GaelO Flow as a DICOM Extract Transform Load for imaging management and processing for research made locally in a healthcare institution.
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GaelO for multicentric research projects needing centralization of images in a single place and eventual centralized reading.
Discover GaelOWhy a Dual Architecture for Medical Imaging Software?
At Pixilib we wanted to address both sides of medical imaging research: Monocentric and multicentric research projects.
These two types of research have different workflows thus we created two interoperable software solutions to address their respective needs.

Protecting Hospital Data Sovereignty
Local firewalls, zero disruption to routine careFor local research projects we built GaelO Flow, a research PACS built to be used as an on-premise software.
GaelO Flow runs locally in the IT environment of the hospital/research center.
We built GaelO Flow to bring data management and processing tools in medical imaging to enable data sovereignty and freedom to research centers.
At Pixilib we believe that researchers should not be forced to externalize their data as we are able to bring all needed DICOM tools locally.

Enabling Collaborative Research
Unified multicentric cohorts, cross-site insightsFor many research projects, multicentric data are needed to reach enough representativity, reach statistical power and for prospective interventional clinical trials.
In this scope we built GaelO, a full-featured platform for medical image collection and processing.
We thought of GaelO as a comprehensive cloud solution able to aggregate data for different hospitals and provide a full ecosystem for physicians to qualify, analyze and quantify medical imaging to enable innovative use of medical imaging in clinical trials and define the future of personalized therapy.
Taking the most of both worlds: Combining GaelO and GaelO Flow
Even if we built two separate tools, we thought about creating bridges between our research solutions.
As GaelO Flow is connected with real-world data it can be used as a DICOM Gateway able to retrieve qualified data before sharing to a centralized workspace using the GaelO platform.
Secure Data Sharing: Connecting Centers Without Silos
Our vision is clear, we want efficient and secure data sharing: connecting centers without silos without compromising data sovereignty.
- Query / Retrieve
- De-identification
- Local projects
- Query / Retrieve
- De-identification
- Local projects
- Centralized images
- Imaging eCRF
- Blinded review
- Adjudication
GaelO Flow: Automated PACS Query & Retrieval
Several research projects need to collect retrospective imaging data across centers for a new centralized analysis, that is usual in Real World Evidence research.
GaelO Flow offers an automated batch DICOM extraction allowing automatic retrieval of large cohorts of imaging data outside peak hours to not impact clinical PACS availability.
GaelO Flow is a tool making clinical centers able to select, aggregate, de-identify their own imaging dataset to be sent to a centralized workspace such as the GaelO platform.
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A bridge between GaelO Flow and GaelO
We made a bridge between our two software solutions, GaelO Flow is able to send medical imaging data to the GaelO platform.
Some of our competitors designed this feature as a DICOM Gateway, our vision is different: We don’t see hospitals as a place whose only role is to emit data.
We believe that hospitals should have tools to manage their own data, work on their own project and if needed send images to a central repository for collaborative works.
We have two software tools but a unified ecosystem. Both tools integrate the same viewer, the same AI tools and can exchange data so data can move from local to shared workspace depending on each project policy.
GaelO: Collaborative Medical Imaging Software for Clinical Trials: eCRFs & Multi-Reader Reviews
We designed GaelO as a workspace for collaboration. For research that needs to pool data and expertise, GaelO provides a full-featured platform to bring innovation to medical imaging research.
In GaelO we implemented the ability to create standardized e-CRF for consistent clinical endpoints validation. This way a group of medical experts can process a shared medical imaging dataset with ability to create blinded review and adjudications.
Last but not least, as we also take care of interventional clinical trials GaelO also ensures full Traceability & Regulatory Compliance (audit trails, HIPAA/GDPR standards) for clinical trials.
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