AI in Radiology Reporting
A Mediphany Case Study
See how Scopic helped Mediphany automate radiology reports using AI speech-to-text, improving accuracy and saving radiologists from hours of paperwork each week.
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
With over 30 years of combined medical expertise, Mediphany simplifies complex medical imaging results for patients and professionals alike. Their innovative approach combines cutting-edge tools like 3D imaging models, real-time video explanations, and comparative analyses to provide patients and practitioners with precise, actionable insights.
The challenge was clear: with an industry average of radiologists spending 11 hours per week on administrative tasks, particularly in report creation. This administrative burden created three critical pain points:
Time-Intensive Reporting
Radiologists spent up to 25% of their hours creating detailed reports, reducing their time for diagnoses and treatment.
Template Inflexibility
Traditional report templates didn’t adapt well to various medical imaging types (e.g., MRI, CT), often resulting in inefficiencies and mismatches.
Accuracy and Flexibility
A solution was needed that could deliver precise, structured transcriptions while remaining adaptable to different use cases.
Mediphany needed a seamless, AI-driven radiology software that could generate structured reports in real-time, ensure accuracy, and scale across diverse use cases.
The Solution
AI Report Automation
Scopic partnered with Mediphany to create a powerful AI Speech-to-Text (STT) solution that automates radiology report generation. This innovative system combined with Large Language Models (LLMs), transformed spoken words into structured, accurate, and real-time reports.
Here’s how it works:
Leveraging AI technologies like OpenAI GPT-4 and Deepgram’s Nova-2-Medical model, the system transcribes practitioners’ spoken input into written text with high accuracy.
Leveraging AI technologies like OpenAI GPT-4 and Deepgram’s Nova-2-Medical model, the system transcribes practitioners’ spoken input into written text with high accuracy.
Leveraging AI technologies like OpenAI GPT-4 and Deepgram’s Nova-2-Medical model, the system transcribes practitioners’ spoken input into written text with high accuracy.
Leveraging AI technologies like OpenAI GPT-4 and Deepgram’s Nova-2-Medical model, the system transcribes practitioners’ spoken input into written text with high accuracy.
Leveraging AI technologies like OpenAI GPT-4 and Deepgram’s Nova-2-Medical model, the system transcribes practitioners’ spoken input into written text with high accuracy.
Technology Stack
The system leverages recent advances in AI in healthcare, including:
Speech Recognition
Deepgram’s Nova-2-Medical model.
OpenAI API with LangChain for data mapping and contextual understanding.
Deployment
Python backend running on AWS Lambda for scalability and real-time performance.
Continuous Learning
Chroma’s vector store allows the system to access prior reports, enabling similarity searches and ongoing improvements.
Why It Worked
AI in Healthcare Success Factors
The solution’s success can be attributed to three key factors:
Seamless Integration
Built directly into Mediphany's Recorder Desktop application
Advanced AI Technology
Combination of leading AI models and healthcare-specific training
Continuous Learning Capabilities
Vector store implementation for ongoing improvement
A Workflow Transformed
Before and After AI Integration
Before
Hours spent on manual
transcription
Errors and mismatched
templates
High stress and less time for
actual radiologist work
After
Reports generated in real-time with 85%+
accuracy
Dynamic templates ensure precise,
structured outputs.
Radiologists spend more time diagnosing
and treating patients
Now It’s Your Turn:
Implement AI in Healthcare Practice
Discover how Scopic can revolutionize your business with tailored,
AI solutions for healthcare and other industries.
Schedule a free consultation to explore what’s possible.
Bonus
Explore the Impact of AI in Radiology
Want to learn more about the trends shaping the future of radiology? Read our blog for insights on AI’s pros, cons, and transformative potential in the field.
FAQ
Our team implemented an AI-driven solution that transforms speech from video recordings into detailed, structured reports. We integrated features like speech-to-text transcription, template matching and customization, a color-coded review process, and contextual learning to streamline workflows and enhance efficiency.
Our relationship with AWS opens doors to a vast array of cloud services and resources. This collaboration ensures that our clients have access to cutting-edge technology, scalability, and cost-efficiency. It translates to robust, secure, and flexible solutions that drive their success. Additionally, in some cases, our customers may benefit from AWS credits extended to us as partners, serving as incentives to explore various AWS services.
We implement industry-leading security practices, including:
Encryption
Access controls
Constant monitoring
AWS's advanced security features are leveraged to safeguard data and applications, ensuring comprehensive protection against threats.
Absolutely. We have expertise in seamless migration from other cloud providers to AWS. Our AWS cloud migration services offer a smooth transition, minimizing downtime and potential disruptions.