Vendor Neutral Archive (VNA) Software Product Ranking Comparison

Healthcare organizations in the US continue to further their adoption of enterprise imaging (EI) as vendors continue to advance their technology. Over the last 18 months, many organizations have seen significant shifts in vendor performance due to partnership changes and product updates. This report shares an update on customer experiences with vendor neutral archive (VNA) and universal viewer (UV) solutions and looks at how those experiences affect customer success and vulnerability. Additionally, the report provides market insights regarding image storage and viewing across service lines, progress with moving VNAs to the cloud, and primary viewing methods.

Report Abstract

Key Findings:

AGFA HealthCare’s Sustained Improvements Lead to Significant Satisfaction Gains; Fujifilm Continues to Offer a Strong VNA; Merge by Merative Customers Note Improved Partnership, Want Product Enhancements
GE HealthCare’s Viewer Improvements Delay Potential Replacements; Hyland & Mach7 Technologies at Risk of Losing VNA Customers
Sectra VNA Getting Significant Consideration; Visage Imaging Has the Most Often Considered Diagnostic Viewer, Often Replacing Front-End PACS
Service Line Adoption Is Expanding, Albeit Slowly
VNA Cloud Adoption Is Moving Past the Early Implementation Phase

Performance Data

Overall Score by Product

Products Appearing in Decisions

Overall Score by Question Topic

Provider Facility Size by Product

Provider Facility Type by Product

Perception

Imaging AI 2024

27 November 24 | Jonathan Christensen and Monique Rasband

The number of FDA-approved AI solutions for imaging has ballooned to over 300 in recent years, and during that time, adoption of various solution types (AI platforms, operational/reporting AI, and pixel AI) has also increased dramatically. Just over 50% of surveyed organizations are starting to use AI algorithms for at least one imaging use case—a significant jump from 2018, when 17% of interviewed organizations were piloting or live with an AI solution. To understand the prevalence of imaging AI adoption, this report draws from interviews with 206 US-based organizations (about 25% are imaging groups; remainder are health systems) and shares an early look at which solutions are most used and considered in this crowded market. Note that this report doesn’t explore customer satisfaction with AI solutions; KLAS intends to address this in future research. Note: This report focuses on AI used for diagnostic imaging, workflow triage, and other imaging-specific use cases. It does not cover general AI tools, including those used for ambient speech or voice recognition.

Vendor Neutral Archive (VNA)

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