Vendor Neutral Archive (VNA) Software Product Ranking Comparison

Healthcare organizations are very focused on enterprise imaging (EI) advancement. Two-thirds of the organizations interviewed by KLAS about future EI plans are likely to expand their VNA image storage or extend their universal viewer (UV) to additional service lines in the next two years. Organizations are also increasingly taking advantage of promising new technology like artificial intelligence (AI) and the cloud. Meanwhile, both vendors and healthcare organizations face budget and staffing shortages and rapidly changing market needs. This report (1) examines how vendors stack up in meeting clients’ ever-growing EI needs and (2) shares a broader analysis of progress in the EI market.

Report Abstract

Key Findings:

AGFA HealthCare Makes Relationship & Delivery Strides; Fujifilm Continues High VNA Satisfaction; Merge by Merative Customers Seeing More Engagement
With Growing EI Presence, Visage Imaging Gains Traction & Drives High Satisfaction with Diagnostic Viewer; Sectra* VNA Customers Give the Platform High Marks
Varied Experiences, Less Progress with GE HealthCare, Hyland & Mach7 Technologies

*Limited data

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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