DataMetrix Launches CASE

DataMetrix launches CASEā„¢, the first fully integrated real-time SaaS platform for clinical review and claims payment.

Salt Lake City, UT, October 19, 2013 --(PR.com)-- DataMetrix’s newly released technology platform, CASE™, provides the industry with the ability to audit claims for payment accuracy through the integration of a fully automated rules engine with sub-second response capability and a proprietary format which triages claims targeted for in-depth clinical review.

The industry is confounded with a plethora of diverse services and technologies which aim to ensure the correct payment of claims. These offerings include both pre and post pay deployments, facility and physician based services, and automated as well as manual processes. These are further supported by voluminous libraries of public and private edits, payment policies, fee schedules and complex provider specific reimbursement contracts. Management of these disparate systems is administratively burdensome, inefficient, and costly.

“CASE™ provides a single platform which seamlessly integrates these functions within its design to include selection, processing and reporting databases. CASE™ is highly scalable and is offered as SaaS,” says Gary Twigg, CEO and President of DataMetrix. He adds, “Currently, CASE™ operates in supervised mode which is table driven. However, in early 2014 DataMetrix will introduce an unsupervised mode which is largely data-driven.”

About DataMetrix

Formed in 2005 by a dedicated partnership with over 100 years of health care experience, DataMetrix’s origins are well founded in the areas of insurance business strategy which include medical cost management, information technology, claim management & administration, and health care finance.

DataMetrix is a healthcare data mining, medical audit, cost management and consulting company specializing in pre and post-payment financial strategies, recovery programs and software solutions. For more information, visit www.data-metrix.com.
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DataMetrix
Tyler Wiberg
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www.data-metrix.com
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