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Sonio
Ultrasound and clinical workflows made easy with AI

What is Sonio?

Sonio provides a cloud-based ultrasound reporting software specifically designed for OB-GYN practices. It leverages clinical AI (part of FDA 510(k) cleared Sonio Detect) to streamline workflows, improve reporting efficiency, and enhance the quality control of prenatal exams. The platform facilitates quick report generation by automatically populating fields based on ultrasound findings and integrates quality checks to support informed clinical decision-making.

The system offers AI-assisted guidance during exams, providing instant feedback on image quality and tracking captured views against required protocols. It also automates image management by sorting views and images logically for easier review. Sonio is built for seamless integration with existing clinical systems like PACS, EHR, and billing systems, operating on secure, cloud-based or on-premise infrastructure compliant with standards like SOC2, HIPAA, ISO 13485, and GDPR.

Features

  • Quick and Easy Reporting: Automatically populates report fields based on ultrasound findings.
  • Built-in Quality Control: AI verifies pre-defined quality criteria and exam completeness.
  • AI-Assisted Exams: Provides instant feedback on image quality and tracks captured views.
  • Automated Image Management: Automatically sorts views and images for standardized review.
  • Seamless Integrations: Connects with existing PACs, FAX, EHR, and billing systems.
  • Reliable Cloud-Based Technology: Secure access from anywhere with automatic updates.
  • Visual Checklist: Tracks required views during an exam.
  • Practice Analytics: Offers insights into practice performance.

Use Cases

  • Streamlining OB-GYN ultrasound reporting workflows.
  • Improving the quality control and consistency of prenatal exams.
  • Assisting sonographers with real-time feedback during ultrasound exams.
  • Automating image organization for efficient review by OB-GYNs and MFMs.
  • Integrating ultrasound data seamlessly with existing clinical IT infrastructure.
  • Analyzing practice performance for operational improvements and training.
  • Securely sharing exam reports and images with referring providers and patients.

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