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Description
Envision a PACS system that operates on a robust platform capable of accommodating hundreds of users simultaneously across various locations. This technology guarantees high availability and is designed to be fail-safe, ensuring that patient care is delivered without interruption. Furthermore, the PACS software can be tailored to precisely fit your specific workflow and clinical requirements. Our advanced workflow engine and configuration tools provide unparalleled flexibility and performance to meet diverse needs. Additionally, an integrated vendor-neutral archive within the Imagine PACS guarantees that no proprietary data is retained in the database, as we standardize all information before it is stored. The system features advanced capabilities such as post-processing, customizable hanging protocols, and support for multiple monitors. We also provide optional enhancements like 3D post-processing and AI/ML applications through our strategic partnerships. With Imagine PACS, you can fully digitize your image management process, making it efficient and streamlined. Notably, this solution is designed to scale effortlessly, accommodating everything from a single modality workspace to a comprehensive enterprise PACS solution, customized to align with your evolving needs. In essence, Imagine PACS stands as a versatile and reliable choice for modern healthcare image management.
Description
Pacsbin offers a personal cloud PACS solution that gives users complete control over their medical imaging through an intuitive web viewer that works seamlessly on modern browsers. The platform enables users to easily upload DICOM files via drag-and-drop functionality, automatically anonymizing and compressing the files while maintaining their original quality. With Pacsbin, users can easily annotate, share, post, and embed images, all without the hassle of VPNs or the need to retrieve archived files. The service features one-click PACS export for efficient and secure case management. Designed for users on the go, Pacsbin guarantees that cases can be accessed from anywhere, allowing for the download of anonymized, high-quality DICOM files whenever needed. The automatic anonymization process effectively removes sensitive data from DICOM headers and scans, ensuring enhanced privacy and regulatory compliance. Sharing studies is user-friendly, offering the ability to create links for distributing cases across various platforms, whether for collaborative evaluation or educational endeavors. Moreover, the platform’s robust security measures further reinforce user confidence in handling sensitive medical data.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Imagine RIS
No
MODALIZER+
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$10 per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
SoftLink International
Country
India
Website
softlinkinternational.com/imagine-pacs/
Vendor Details
Company Name
Pacsbin
Country
United States
Website
get.pacsbin.com
Product Features
PACS
Comparison View
No
Data Compression
No
Diagnostic Reporting
No
HL7 Support
No
Image Management
No
Mobile Access
No
Non-DICOM Imaging Support
No
Patient Portal
No
Referring Physician Portal
No
Voice Recognition
No
Product Features
PACS
Comparison View
No
Data Compression
No
Diagnostic Reporting
No
HL7 Support
No
Image Management
No
Mobile Access
No
Non-DICOM Imaging Support
No
Patient Portal
No
Referring Physician Portal
No
Voice Recognition
No
