Revenue Cycle Management Software supports hospital systems.
July 5, 2012 -
With pattern-based, self-learning approach that utilizes predictive modeling, Revenue Cycle Management Software detects anomalies in medical billing records. Solution's analytics include advanced techniques that accurately detect missing and erroneous charges. Provided as hosted service, solution is trained to search through each day's charges, pinpoint potential errors and omissions, and deliver prioritized account review lists to nurse auditors.
|Original Press release |
180 Maiden Lane 17th Floor
New York, NY, 10038
Opera Solutions Launches Advanced-Analytics-Based Capability to Help Hospital Systems Improve Charge Capture
New Pattern-Based Approach Uses Innovative Self-Learning Models to Detect Anomalies in Medical Billing Records
NEW YORK, -- Opera Solutions, LLC, a leading global Big Data predictive analytics company, today announced the general availability of its Revenue Cycle Management solution.
Already in use in more than 60 hospitals, the solution helps hospitals significantly increase profitability and operating efficiencies by identifying missing charges and reducing audit expenses. Based on industry profitability averages, hospitals using the solution can increase their operating income by 10 percent or more.
"Hospital billing has become increasingly complex, and approaches to manage it have not kept up," said Pieter Schouten, General Manager, Healthcare Solutions. "Traditional rules-based systems are only as good as the latest rules update; manual auditing cannot comprehensibly look at all the bills. And neither approach can fully take into account the medical context. In contrast, our pattern-based, machine-learning approach utilizes predictive modeling, anomaly detection and other advanced analytic techniques that allow us to dynamically detect patterns and zero in on inaccuracies as they emerge. Ultimately, the corrections our clients make and the efficiencies they derive can lead to better healthcare operations across the board."
The solution's analytics include an ensemble of advanced techniques that rapidly and accurately detect missing and erroneous charges. It is trained to search through each day's charges, pinpoint potential errors and omissions, and deliver prioritized "account review lists" to nurse auditors. Provided as a hosted service, the solution requires only minimal new IT and infrastructure development. The patent-pending analytics were developed by Opera Solutions' scientific team, which includes over 220 data scientists specializing in machine learning techniques. Opera Solutions now plans to extend from revenue cycle management to cost containment and fraud detection.
To learn more about Opera's healthcare solutions, head to http://www.operasolutions.com/solutions/healthcare.php.
About Opera Solutions
Opera Solutions applies advanced analytics to drive front-line productivity gains for industry and government. With 220+ data scientists among its 650 employees, the company is an internationally recognized leader in machine learning. Opera Solutions combines this scientific expertise with the deep industry knowledge of its professionals in creating its Signal Hub(TM) solutions, which provide new enterprise-wide capabilities to continually extract valuable predictive and descriptive information from Big Data flows. The company also creates and hosts delivery of applications built on its Signal Hub solutions. It serves leading organizations in Financial Services, Healthcare, Government, Supply Chain, Marketing, and other selected sectors.
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