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Corti empowers healthcare professionals with cutting-edge AI solutions designed to enhance clinical documentation, streamline workflows, and ensure accuracy in patient records. By leveraging advanced speech recognition, machine learning, and intelligent automation, Corti enables app developers to reduce administrative burden so clinicians can focus on patient care.

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Use cases

  1. Real-time fact extraction during conversational audio processing to capture key clinical findings
  2. Empower clinicians with control over ambient document generation - select, reject, or augment extracted clinical findings so that AI notes are complete, concise, and correct
  3. Flexibility to generate one or multiple different summary documents for a given interaction
  4. Support for customizable templates, formats, and styles
Corti AI is the only platform supporting truly real-time clinical intelligence, where clinical finding fact extraction occurs during audio streaming. Use the stream endpoint to turbo charge your ambient scribe solution, build real-time clinical decision support, and more.
  1. Automated speech recognition (ASR) focused on medical domain to provide speech-to-text and command-and-control capabilities
  2. Diarized transcription of multi-user medical conversations from audio to text
  3. Support for in-person or virtual care workflows
Use the transcribe endpoint for stateless dictation and the transcripts endpoint for batch audio file processing
  1. Streamline ICD-10 coding with precision and scale
  2. Support for both diagnosis and procedure coding
  3. Capture CPT codes with modifiers that accurately reflect the level of care provided
General purpose coding models can also be finetuned with individual customer data
  1. Instant access to critical information, precisely when you need it
  2. Support for standard public reference material or customizable for organizational standards of care
Use these tools along with the AI agent to power workflows
  1. Compare “source” and “target” resources to identify alignment rate between the two assets
  2. Option to include explainability with AI output to ensure trust and reliability
  3. Power benchmarking and quality analysis efforts
Use these tools along with the AI agent to power workflows
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