Rology


Rology is a leading AI-assisted tele-radiology platform founded in 2017, dedicated to bridging the gap between qualified radiologists and healthcare providers worldwide. It offers 24/7 access to high-quality radiology reporting categorized by subspecialty, leveraging advanced technology including AI, to improve radiology services, reduce costs, and enhance patient care across the Middle East and Africa. Rology also pioneers in sustainable and green radiology practices, promoting digital, energy-efficient, and environmentally friendly solutions in medical imaging.

Industries

health-care
health-diagnostics
information-technology-dbca
medical
software
telehealth

Nr. of Employees

small (1-50)

Rology


Products

AI-assisted teleradiology platform

Cloud platform that automates upload and routing of medical images, provides AI-assisted triage and image analysis, enables subspecialty reporting by remote radiologists, incorporates QA/peer review, and delivers reports and dose summaries to referring facilities and patients.


Services

On-demand teleradiology reporting

Remote interpretation of diagnostic imaging by subspecialty radiologists delivered via a cloud platform with integrated QA review, credential verification, and automated delivery of reports and images to referring facilities.

Automated radiation dose documentation

Service that captures dose metrics from imaging equipment and generates standardized patient radiation dose reports to support dose management and accreditation requirements.

PACS/DICOM and HIS integration services

Integration services to connect existing PACS and hospital information systems to cloud image storage, web viewers and reporting workflows with bidirectional exchange and support for HL7.

AI-enabled image assistance and report automation

Cloud-based AI tools that enhance image quality, flag potential findings, assist prioritization, and pre-fill portions of reports to improve efficiency and reduce reporting time.

Patient digital access and engagement

Patient-facing access to imaging studies and reports via secure online portals to improve transparency and patient involvement in care.

Expertise Areas

  • Teleradiology service delivery
  • AI-assisted medical imaging and triage
  • Emergency radiology workflows and rapid reporting
  • PACS/DICOM and HIS (HL7) integration
  • Show More (6)

Key Technologies

  • Machine learning / deep learning for image analysis
  • Cloud-based image storage and processing
  • DICOM / PACS interoperability
  • HL7 / HIS integration
  • Show More (4)

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