NaviNet Open Ratings (September 2025)
This page breaks down NaviNet Open ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand NaviNet Open’s overall reputation. This data-driven overview will show you exactly how NaviNet Open is rated - including how it compares to competitors.
NaviNet Open's Overall Rating Summary
- Average Rating:4.1/5
- Total Reviews:30 reviews
- Sources:G2, Capterra
- Last updated:September 1, 2025
G2
CapterraWhat is NaviNet Open?
NantHealth offers a suite of healthcare technology solutions including NaviNet Open, a payer-provider collaboration platform for real-time information exchange, and Eviti Connect, an evidence-based treatment validation platform for oncology and autoimmune diseases. Their Population Health Management platform bridges disparate patient data to facilitate efficient care coordination, while OpenNMS provides enterprise-scale IT network monitoring and management. These innovations aim to simplify healthcare, improve patient outcomes, and deliver value-based care.
🤔 NaviNet Open vs Competitors: How Do Ratings Compare?
Check out NaviNet Open AlternativesFrequently Asked Questions
How trustworthy is NaviNet Open?
According to Capterra and G2 review sites NaviNet Open holds ratings of 4/5 and 4.3/5 respectively from 30 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is NaviNet Open rated?
NaviNet Open has an average star rating of 4.1 out of 5 stars based on average of 30 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from NaviNet Open public reviews pages on platforms: G2, Capterra. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for NaviNet Open is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.