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Description

See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.

Description

Skia is a specialized platform for radiology reporting designed for groups and teleradiology services that prioritize high-quality results without sacrificing efficiency. Unlike traditional methods, SkiaQA meticulously reviews each report prior to submission, ensuring it identifies issues such as laterality discrepancies, incorrect or absent comparison dates, contradictions within the report, mismatches between findings and impressions, critical findings that may be overlooked, and incomplete sections, all within mere seconds. Additionally, SkiaReporter revolutionizes the reporting process by eliminating the need for dictation and correction phases; radiologists can simply click on findings, allowing the report to automatically generate in precise clinical language, with impressions derived directly from those selections, ensuring accuracy without speculation or errors. Early implementations indicate that reporting speeds have increased by 30 to 40%, with a remarkable 70 to 90% of impressions generated automatically. Furthermore, SkiaManager facilitates seamless coordination by managing worklist synchronization, automatic assignment based on modality and subspecialty, alerts for critical findings, context from prior studies, and direct submission to PACS. Importantly, Skia maintains strict privacy protocols, as no patient data is stored or transmitted outside your PACS system, ensuring confidentiality and compliance. This innovation not only enhances workflow efficiency but also significantly reduces the likelihood of errors in radiology reporting.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

See-Mode

Founded

2017

Country

Australia

Website

www.see-mode.com

Vendor Details

Company Name

Skia

Founded

2026

Country

United States

Website

skia.io

Product Features

Product Features

Radiology

Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management

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