RadCoPilot uses clinical history, prior reports, reporting templates and a radiology-trained AI engine to create a powerful reporting assistant. The system intelligently integrates these elements to support radiologists throughout the reporting process.

1

Clinical History Integration

RadCoPilot accesses and analyses relevant clinical history to provide context-aware assistance. This ensures your reports are informed by the patient's clinical background and presenting concerns.

2

Prior Reports Analysis

The system reviews previous imaging reports to identify changes, track progression and maintain consistency across studies. This historical perspective enhances report accuracy and completeness.

3

Template Integration

RadCoPilot utilises your reporting templates to ensure consistency with departmental standards and preferences. The AI engine adapts to your specific reporting style and requirements.

4

AI-Powered Assistance

The radiology-trained AI engine processes all available information to generate structured reports, suggest impressions, refine differentials and link to relevant guidelines. This intelligent assistance supports you at every stage of reporting.

The RadCoPilot Workflow

RadCoPilot integrates clinical history, prior reports, reporting templates and a radiology-trained AI engine to deliver structured reporting assistance. The workflow processes multiple data sources to create comprehensive, guideline-linked reports.

1

Input

Clinical history, prior reports, and dictated findings are collected and prepared for processing. The system accesses relevant patient information and previous imaging studies to provide context-aware assistance.

2

AI Processing

The radiology-trained AI engine analyses all available information, cross-referencing clinical data, prior reports and reporting templates. The system identifies patterns, suggests structured content and prepares guideline linkages.

3

Report Generation

A structured radiology report is generated following standard reporting conventions and your department's templates. The report includes automatic links to relevant national or local guidelines based on key findings.

4

Review & Refine

Review the generated report and use Rad-Chat for AI-assisted refinement of impressions and differentials. Make final adjustments and ensure the report meets your standards before finalisation.

Benefits for Your Practice

Efficiency

Streamline your reporting workflow and reduce time spent on routine tasks, allowing you to focus on complex cases.

Accuracy

AI-powered assistance helps ensure consistent, accurate reports by cross-referencing clinical data and guidelines.

Guideline Compliance

Automatic linking to national and local guidelines keeps your reporting compliant with current best practices.

Consistency

Maintain consistent reporting standards across your department with template integration and AI assistance.

Ready to Experience RadCoPilot?

See how RadCoPilot can transform your radiology reporting workflow.

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