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AI in Radiology Reporting

A Mediphany Case Study

The Results at a Glance

AI in Healthcare Innovation

85%

Transcription Accuracy in Speech-to-Text conversion

85%

Mapping Accuracy achieved with fixed examples and robust scoring

Significant time savings

addressing the industry-average 11 hours of administrative work 

Streamlined workflow integration

through a unified dashboard

Services Performed 

The Results at a Glance

AI in Healthcare Innovation

The Solution

AI Report Automation 

Technology Stack

Why It Worked

AI in Healthcare Success Factors

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Seamless Integration
Built directly into Mediphany's Recorder Desktop application
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Advanced AI Technology
Combination of leading AI models and healthcare-specific training 
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Continuous Learning Capabilities
Vector store implementation for ongoing improvement

A Workflow Transformed

Before and After AI Integration

Before

After

Now It’s Your Turn:

Implement AI in Healthcare Practice

Bonus

Explore the Impact of AI in Radiology 

FAQ