This page breaks down LexisNexis LexID 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 LexisNexis LexID’s overall reputation. This data-driven overview will show you exactly how LexisNexis LexID is rated - including how it compares to competitors.

LexisNexis LexID's Overall Rating Summary

  • Average Rating:4.2/5
  • Total Reviews:16 reviews
  • Sources:G2
  • Last updated:September 1, 2025

LexisNexis LexID Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.2/5
16+ reviews01.09.25

What is LexisNexis LexID?

LexID® for Healthcare offers a unique identifier for patient record matching and interoperability, providing a persistent key that follows a patient identity throughout its evolution and journey. It helps healthcare organizations identify duplicate records, match and merge like records, and offers a more secure and unique identification system than Social Security Numbers. Key features include availability via API, leveraging referential data and matching, resolving linking discrepancies, and merging and removing duplicate records.

🤔 LexisNexis LexID vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is LexisNexis LexID?

According to G2 review site LexisNexis LexID holds rating of 4.2/5, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is LexisNexis LexID rated?

LexisNexis LexID has an average star rating of 4.2 out of 5 stars based on average of 16 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from LexisNexis LexID public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for LexisNexis LexID 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.