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What is RADIOLens?

Radiolens is a cutting-edge PACS radiology workflow solution driven by AI technology, which significantly improves diagnostic processes by automatically detecting low-quality scans and creating preliminary reports across various common imaging modalities. By fostering clinical collaboration and enhancing workflow efficiency, this system facilitates better decision-making in medical environments. It incorporates automated task assignments to effectively manage workload distribution while offering both quantitative and qualitative insights, which boosts the speed and precision of reporting. Furthermore, it boasts a user-friendly DICOM Viewer, enabling case access from mobile devices and removing the necessity for on-site attendance due to its cloud-based infrastructure. Users benefit from immediate notifications on their devices, ensuring they are promptly updated. Radiolens stands out with its remarkable accuracy, limitless image backup, and easy archiving options, along with instant AI-driven biomarkers that provide critical qualitative and quantitative metrics including CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Additionally, its intelligent server seamlessly matches templates to studies according to the patient's gender and the modality being utilized, further optimizing the workflow. This holistic approach not only boosts the efficiency of radiology departments but also significantly enhances the overall quality of patient care, making it an indispensable tool in modern healthcare settings. By integrating advanced technology with user-centric features, Radiolens sets a new standard in radiological practices.

What is AccessPoint® GO Cloud?

AccessPoint® GO is an efficient cloud gateway that can be installed in various locations, ensuring the secure transfer of your imaging studies from modalities to the AccessPoint® Cloud, allowing for seamless viewing, interpretation, and collaboration across all devices using just a web browser. Additionally, the system features StudyShare™, a sophisticated routing module that facilitates rapid sharing of patient studies with referring doctors and patients through encrypted links, all while adhering to the latest 21st Century CURES Act regulations, eliminating the need for referral disks. This innovative solution enhances communication and accessibility in medical imaging.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Synapsica

Company Location

India

Company Website

synapsica.com/radiolens/

Company Facts

Organization Name

Freeland Systems

Date Founded

1980

Company Location

United States

Company Website

www.freelandsystems.com

Categories and Features

PACS

Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition

Radiology

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

Categories and Features

PACS

Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition

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