Sonio

Preview：

Introduce：

Sonio is an AI-powered software designed to improve the efficiency, accuracy and professionalism of prenatal ultrasounds. It addresses challenges faced by healthcare teams by automating image quality control, report generation, data integration, and billing. Sonio provides modern, centralized solutions through real-time coaching and the latest clinical research to upgrade team skills while reducing IT maintenance costs.

Stakeholders:
Reduce liability risk with automated discovery-based reporting and centralized clinical guidelines.,IT professionals: Get full administrative authority with flexible infrastructure to maximize IT performance and reduce server maintenance costs.>
Usage Scenario Examples:

• Improve the accuracy and efficiency of prenatal ultrasonography and reduce human error.
• Provide high-quality prenatal care in remote areas through remote collaboration.
• Streamline financial processes for healthcare organizations with an integrated billing system.

The features of the tool:

• Image quality control: Automatic image quality inspection to ensure the accuracy of the inspection.
• Report generation: Use AI technology to automatically generate inspection reports to improve work efficiency.
• Data integration: Seamless integration with existing medical tools to achieve smooth data transmission.
• Billing system: Integrated CPT &amli; ICD10 coding simplifies the billing process.
• Smart checklists: Provide real-time feedback to ensure inspection integrity and image quality.
• Remote Collaboration: Allows ultrasound readers to collaborate remotely with modern, easy-to-use solutions.
• Clinical Guidelines: Define centralized clinical guidelines to ensure consistency across teams.

Steps for Use:

• Step 1: Visit the Sonio website and register an account.
• Step 2: Select services and functions as required.
• Step 3: Integrate Sonio with existing medical tools and systems.
• Step 4: Start ultrasound using image quality control and report generation.
• Step 5: Use smart checklists to ensure inspection integrity.
• Step 6: Share and discuss test results with other medical professionals through remote collaboration capabilities.
• Step 7: Review and update the set of clinical guidelines regularly to maintain best practice.
• Step 8: Automate billing and coding with the billing system.

Tool’s Tabs: AI, medical imaging