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Buyer question · Radiology and medical imaging software · release 2026-09

What is the best RIS PACS for an imaging group with five locations?

Fujifilm (Synapse): 13 of 15. Intelerad: 12. Sectra: 12. That is how often the five engines named each one when asked “What is the best RIS PACS for an imaging group with five locations?”. All five engines named Fujifilm (Synapse) at least once. 14 of the 24 checked vendors were never named here, including Philips (HealthSuite Imaging) and GE HealthCare.

If you sell radiology and medical imaging software and your name is not in that list, this is the question to fix first.

These answers come from one capture on 22 September 2026, three runs per engine, to this fixed wording. They are not a ranking, and an engine can answer differently on a refresh.

Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

Who was named

Each count is over the 15 valid answers to this exact question. Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

Checked radiology and medical imaging software vendors named in answers to this question, counted per answer.
VendorNamedRateWilson 95% interval
Fujifilm (Synapse)13 of 1586.7%62.1% to 96.3%
Intelerad12 of 1580.0%54.8% to 93.0%
Sectra12 of 1580.0%54.8% to 93.0%
RamSoft8 of 1553.3%30.1% to 75.2%
Agfa HealthCare5 of 1533.3%15.2% to 58.3%
AbbaDox3 of 1520.0%7.0% to 45.2%
INFINITT Healthcare2 of 1513.3%3.7% to 37.9%
Novarad2 of 1513.3%3.7% to 37.9%
Carestream Health1 of 156.7%1.2% to 29.8%
Visage Imaging1 of 156.7%1.2% to 29.8%

Checked and never named

14 of 24 checked vendors: 0 of 15 each.

AdvaPACS, Canon Medical Informatics, eRAD, GE HealthCare, Hyland, Mach7 Technologies, MedInformatix, Merative (Merge), OnePACS, PaxeraHealth, Philips (HealthSuite Imaging), PostDICOM, Pro Medicus, Siemens Healthineers.

By engine

Three runs per engine. Each cell is how many valid runs named the vendor.

Runs naming each vendor, by engine, for this question.
VendorChatGPTClaudePerplexityGoogle AI OverviewsGoogle AI Mode
Fujifilm (Synapse)3 of 33 of 33 of 32 of 32 of 3
Intelerad3 of 30 of 33 of 33 of 33 of 3
Sectra0 of 33 of 33 of 33 of 33 of 3
RamSoft3 of 30 of 31 of 31 of 33 of 3
Agfa HealthCare0 of 32 of 30 of 33 of 30 of 3
AbbaDox0 of 33 of 30 of 30 of 30 of 3
INFINITT Healthcare0 of 32 of 30 of 30 of 30 of 3
Novarad2 of 30 of 30 of 30 of 30 of 3
Carestream Health0 of 31 of 30 of 30 of 30 of 3
Visage Imaging0 of 30 of 30 of 30 of 31 of 3

What the engines said

For a five-location outpatient imaging group, I’d start with RamSoft PowerServer RIS/PACS and Fujifilm Synapse RIS + PACS, with Novarad as a third finalist.

ChatGPT, . Full answer text in the deposit.

Fujifilm Synapse is the strongest fit for multi-site radiology teams that need coordinated study intake, routing, and reconciliation-aware delivery controls with traceable workflow orchestration.

Claude, . Full answer text in the deposit.

If your main pain point is distributed image routing and intake rather than full enterprise workflow, Fujifilm Synapse is the strongest operational fit.

Perplexity, . Full answer text in the deposit.

For an imaging group with five locations, Sectra PACS and Agfa HealthCare Enterprise Imaging are top-rated choices based on industry KLAS rankings and multi-site scalability.

Google AI Overviews, . Full answer text in the deposit.

Intelerad (IntelePACS + InteleRIS), Best for Multi-Site Outpatient Workflows.

Google AI Mode, . Full answer text in the deposit. Dash punctuation normalized.

One sentence per engine at most, chosen by a fixed rule: the first full sentence naming a checked vendor, read in run order. Every answer in full: DOI 10.5281/zenodo.22907695.

What to do with this

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Every figure comes from the published method, v1.1.

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Receipt

Release
2026-09, published
DOI
10.5281/zenodo.22907695
Method
v1.1: ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode; ten fixed buyer questions per category; three runs per engine
Captured
Base
15 valid answers to this question; 0 excluded
Licence
CC BY 4.0, attribution to Broadcastwell
Disputes
Dispute policy and log

Any named company may request one no-cost re-run at index@broadcastwell.com; both results are published.

Prepared by the Broadcastwell team.

Page owner: Vikram Patel, AI Architect. Corrections: index@broadcastwell.com

Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

About this page

Observed answers on stated dates, not a ranking. This is not a judgment of product quality.

Buyer questions · What AI names instead · Head to head · Statement records · Method · Dispute policy