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About

NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well.

About

For three decades, Verisys has served some of the largest and most complex healthcare organizations in the United States, credentialing more than two million events annually. Our provider credentialing services get and keep you compliant. Credentialing and re-credentialing providers is a complex process for health plans, hospitals, and health systems. Physicians are licensed in multiple states and provide telehealth services across state lines. This requires license verification with each state board and compliance with that state’s unique regulations. Identity matching is complicated due to physicians having the same name, maiden names, alias names, nicknames, or abbreviated names. To get a complete view, each physician must be screened, and credentials verified against thousands of primary sources. We can help you do anything from a simple provider credential search to implementing a full end-to-end credentialing solution.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies and enterprises looking for a rule-based and machine-learning based name matching and detection solution

Audience

Healthcare organizations in need of a tool to manage their credentialing process and ensure compliance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NetOwl
Founded: 1996
United States
www.netowl.com/name-matching-software

Company Information

Verisys
United States
verisys.com/solutions/provider-credentialing/

Alternatives

Alternatives

Lead to Account Matcher

Lead to Account Matcher

Eustace Consulting
Incredable

Incredable

Intiva Health
Credentially

Credentially

Credentially.io

Categories

Categories

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau
Claim NetOwl NameMatcher and update features and information
Claim NetOwl NameMatcher and update features and information
Claim Verisys and update features and information
Claim Verisys and update features and information