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Description
Healthcare professionals, including doctors and radiologists, can access images digitally through an online DICOM viewer, ensuring they receive high-quality images essential for precise diagnoses. This platform facilitates seamless sharing of studies among radiologists, surgeons, doctors, and patients without the need for physical film prints. Offering an intuitive and user-friendly interface, the viewer provides various image manipulation features such as zooming, rotating, annotating, and panning. Users can compare multiple image sets with versatile options, including 2D, sagittal, and coronal views. Regular upgrades and enhancements to the viewer are provided at no additional cost, which helps to improve patient care and boost productivity. By utilizing tailored report templates that feature annotated images, healthcare providers can further refine their documentation process. BeWell Digital streamlines the workflow, reducing technician workload by more than 30%, thanks to its effective integration between various systems, resulting in a more efficient radiology experience. This comprehensive and connected solution ensures that users can focus on what matters most: delivering exceptional patient care.
Description
Radiolens is an innovative PACS radiology workflow solution powered by AI that enhances diagnostic processes by automatically identifying low-quality scans and generating preliminary reports for various common modalities. This system promotes clinical collaboration and improves workflow efficiency, leading to better-informed decision-making. It features automated task assignments to optimize workload distribution and provides actionable insights that are both quantitative and qualitative, enhancing the speed and accuracy of reporting. Additionally, it includes a lightweight DICOM Viewer that allows users to access cases from mobile devices, thereby eliminating the need for on-site presence with its cloud-based solution. Users receive real-time notifications on their devices, ensuring timely updates. With top-notch accuracy, unlimited image backup, and straightforward archiving capabilities, Radiolens also delivers instant AI-evaluated biomarkers for essential qualitative and quantitative metrics such as CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Its intelligent server automatically matches templates to studies based on the patient's gender and the modality being used, streamlining the workflow further. This comprehensive approach not only enhances the efficiency of radiology departments but also significantly elevates the quality of patient care.
API Access
Has API
API Access
Has API
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
BeWell Digital
Founded
2021
Country
India
Website
bewelldigital.com
Vendor Details
Company Name
Synapsica
Country
India
Website
synapsica.com/radiolens/
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
Product 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