AI Enhanced Radiology Report Generation Workflow Explained

Radiology Report Generation Workflow

1. Initial Patient Consultation

1.1. Patient Registration

Collect patient information through electronic health record (EHR) systems.

1.2. Imaging Request

Healthcare provider submits a request for imaging studies, documented in the EHR.

2. Imaging Procedure

2.1. Imaging Acquisition

Radiologic technologists perform imaging procedures (e.g., X-rays, MRIs, CT scans).

2.2. Image Storage

Images are securely stored in a Picture Archiving and Communication System (PACS).

3. Image Analysis

3.1. AI-Driven Image Analysis

Utilize AI tools such as Zebra Medical Vision or Aidoc to assist in image interpretation.

• AI algorithms identify anomalies and highlight areas of concern for radiologists.

4. Report Generation

4.1. AI Transcription Tools

Implement AI transcription tools like Nuance’s Dragon Medical One or M*Modal to convert radiologist’s verbal dictations into written reports.

4.2. Draft Report Creation

The AI tool generates a draft report based on the analysis and radiologist input.

4.3. Review and Edit

Radiologists review the draft report, making necessary edits and ensuring accuracy.

5. Finalization and Distribution

5.1. Final Report Approval

Radiologist approves the finalized report within the EHR.

5.2. Report Distribution

Distribute the final report to referring physicians and integrate it into the patient’s medical record.

6. Quality Assurance

6.1. Performance Monitoring

Regularly assess the accuracy of AI tools and the quality of generated reports.

6.2. Continuous Improvement

Implement feedback loops for ongoing training of AI models and enhancement of workflow efficiency.