Natural Language Processing: Revolutionizing Radiology

Today's radiology reports are unstructured holding 80% of relevant clinical information hostage. Natural Language Processing (NLP) holds the key to unlocking the value hidden within unstructured data to develop analytics that drive smart decisions. NLP-driven metrics allow providers to ask better questions, gain insight, and drive better informed discussions about utilization.

SyTrue's NLP operating system powers radiology benchmarking and reporting by extracting data from tens of millions of radiology reports:

  • Positive, negative, or uncertain findings
  • Critical results and communication
  • Diagnostic tests, history and more
  • Enabling Radiology Patient Care (RPC) Indices
  • Supporting Global Practice Information (GPI) reporting

"This findings-based NLP work is now a key element in our Global Patient Information (GPI) report which provides our clients with consistent information for trending, benchmarking and imaging operation plan oversight. Finally, it underpinned the launch of Radiology Patient Care (RPC) Indices, the first finding-based national benchmarking metrics for radiology imaging." - Shannon Werb, CIO for vRad

Proven Scalability with Impressive Accuracy

  • 2 week to 3 months implementations
  • Greater than 90% accuracy rate
  • 1 million plus transactions per hour per terminology server
  • 200k plus documents per day per NLP server

Out-of-the-Box NLP Functionality for Radiology

  • Problems
  • Negatives
  • Critical Findings
  • Communication of CF
  • Follow-ups
  • Prior procedures
  • Hedging terms
  • Many more.....

NLP-Driven Metrics Allow You To:

  • Uncover information and demonstrate value beyond the reading room
  • Gain insight and drive better informed discussions about utilization
  • Understand and measure the quality of the entire patient experience
  • Show value through meaningful, evidence-based conversations between radiologists, physicians, and hospital administration

Are you ready to power up your imaging analytics?

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