Comprehensive Layout for Exploration Analysis & Research [CLEAR]

Built on the foundation of one of the most comprehensive claims data sets in the nation, PurpleLab™ Comprehensive Layout for Exploration Analysis & Research (CLEAR) makes market and clinical utilization research easy by combining our data & methodologies into easy-to-use, in-platform solutions. CLEAR claims facilitates faster analysis and reduces the amount of data engineering needed to use claims data.

Expect more than vended claims. PurpleLab adds value to all the data we aggregate, populating it into use-case driven toolsets and making access to the data easy.

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Methodologies make the difference

About PurpleLab™ CLEAR Claims

CLEAR claims is designed for users that need access to comprehensive patient claims data at a detailed level and simplifies querying. Through clinically approved and operationally relevant methodologies, we identify the underlying reason for a visit or admission with payer and provider attribution. Users access enhanced claims data with final claims in consolidated table structures for quicker analysis.

We've done the work to make the data usable within minutes. Let us help you unlock the full potential of your patient claims data. Get in touch with us today and discover how CLEAR claims enhances RWD capabilities and can optimize the way you analyze and interpret your healthcare data. Additional information is available on our resources page.

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Insights in Action

Looking to get a an idea of what CLEAR claims looks like?

View this short video to learn even more about CLEAR Claims capabilities. 

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WHY CLEAR CLAIMS

Here’s all the good stuff

Methodologies

Give you the flexibility to decide which insights you need from the data.

Speed & Delivery

Your data will be ready for use in minutes, available through your preferred delivery method. See what you need in one place.

Linkage

We can link datasets and have relationships to help you with expert determination.

Usability

PurpleLab provides data in an easy-to-use, common data model that reduces the required data engineering.

CORE PACKAGE

Payer & Provider Core Methodologies

Encounter Logic

Establish operational counting stats by linking related claims into admissions for inpatients and splitting bundled claims into visits for other contexts.

Standardized Pricing

Access pricing for services provided on the claim based on enhanced CMS fee schedules and payer-type mark-ups for medical claims.

Primary HCP/HCO Identification

Understand the most relevant doctor or facility associated with a claim based on a hierarchy of provider roles.

Additional Methodologies

Claim Category/Service Lines

Utilize claim level classifications based on a hierarchy of underlying services or service locations.

Final Claim Status

Identify resubmissions of the same service for a patient to eliminate duplicate or restated claims.

Payer Details

Access primary and secondary payer information, including payer name and channel/sub channel for Mx and MCO issuer for Rx.

Qualified Diagnosis Indicator

Identify claims where the diagnosis code supports the identification of a patient's condition.

Meet Your New [Best Friend] in Healthcare Analytics 

Let us know if you're ready to stop digging through bad data

 

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