Kanteron Systems vs. Sorna Vertex Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kanteron Systems
Score 0.0 out of 10
Enterprise companies (1,001+ employees)
Patient-centric Enterprise Clinical Content Platform with built-in diagnostic and workflow tools designed to drives continuity of care and reduces care gaps. Integrating clinical data: Medical Imaging (PACS, VNA, RIS), Digital Pathology (WSI, Vendor-neutral Dicomization), Clinical Genomics (NGS), Pharmacogenomics (PGx), and Biosensors. With clinical data, users can: INGEST & STORE On-site or in the cloud INTEGRATE Open source and using standards ANALYZE…N/A
Sorna Vertex Platform
Score 6.0 out of 10
N/A
Headquartered in Eagan, Minnesota, Sorna Corporation designs and manufactures DICOM and IHE conformant products that facilitate the sharing, burning, importing, converting, viewing, and storing of medical images and related documents from a variety of sources, to a multitude of destinations. The Vertex Platform contains the company's suite of applications supporting medical data sharing.N/A
Pricing
Kanteron SystemsSorna Vertex Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Kanteron SystemsSorna Vertex Platform
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeRequiredNo setup fee
Additional DetailsPricing can be either SaaS subscription, one-off license, per usage, even value-based (a percentage of savings or increased productivity).—
More Pricing Information
User Testimonials
Kanteron SystemsSorna Vertex Platform
ScreenShots

Kanteron Systems Screenshots

Screenshot of Digital Pathology, Vendor-neutral DicomizerScreenshot of Digital Pathology Case ManagementScreenshot of Clinical Genomics with over 15,000 in-silico panels and filters in natural languageScreenshot of Clinical Genomics reporting and annotationScreenshot of Medical Imaging PACS, VNA, and ZFP viewerScreenshot of Flexible Artificial Intelligence / Machine Learning (use your own or any third-party training dataset and algorithms)