Reveleer Announces New Quality Solution, Prospective Review and Gap Closure Powered by NLP
Customers now benefit from improved analytics, Machine Learning for better chart QA and Overread NLP capabilities
Glendale, Calif. September 21, 2020 – Reveleer, a healthcare technology company named as one of the Fastest Growing Companies in America by Inc. 5000, today announced the expansion of their Quality Improvement offering with the launch of their Prospective Review and Gap Closure solution powered by Natural Language Processing (NLP). Customers are now able to uncover valuable information from medical charts that can be converted into supplemental data for HEDIS reporting. Additionally, this software provides an additional provider feedback loop for unclosed care gaps impacting both HEDIS hybrid and administratively reported measures.
Reveleer’s Prospective Review is a platform that speeds up the process of gap closure while providing exceptional accuracy with the application of Natural Language Processing (NLP). Customers can concurrently review all potential care gaps at the member level and close them through the discovery of relevant chart documentation. Extensive process automation for chart intake and Quality review applying Natural Language Processing (NLP) speeds this process while enhancing the quality of results.
The net impact to customers using Reveleer Prospective Review and Gap Closure will be increased accuracy of administrative or electronically reported data, which will increase the accuracy of quality reporting initiatives and decrease provider office traffic during the busy HEDIS reporting season. Additionally, a new ‘Unresolved Gap Reporting’ feature will quickly inform providers of true gaps in care or documentation.
“Health plans can now close gaps faster and more accurately leveraging the Reveleer platform,” said Michael Curran, Reveleer’s Vice President of Quality Improvement Programs. “This is very important as many prospective gap closure projects involve massive chase volumes requiring rapid resolution of both documentation and care gaps in time for annual HEDIS reporting”.
“Since its inception over a decade ago, Reveleer has been at the forefront of transforming data into actionable insights,” said Jay Ackerman, CEO of Reveleer. “Our mission is to provide health plans with total freedom to perform Quality programs on their own. Reveleer Prospective Review and Gap Closure furthers this mission by applying machine learning technology to solve critical challenges around clinical quality improvement and reporting. ”
Reveleer’s Platform offers health plans powerful Quality Improvement capabilities, including end-to-end medical record review that leverages Natural Language Processing (NLP), Intelligent Automation, and automated workflows to increase productivity and reduce manual work. The Prospective Review and Gap Closure solution complements the recently launched NLP-Driven Overread for Quality Review, an automated level of review that health plans can use to increase accuracy of HEDIS reporting.
Reveleer is a healthcare software and services company that uses Machine Learning and Intelligent Automation technology to empower payers in all lines of business to take control over their Quality Improvement and Risk Adjustment programs. The Reveleer platform enables payers to independently execute and manage every aspect of provider outreach, retrieval, coding, abstraction, and reporting – all under one platform. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer also assists payers with full record retrieval and review services to support financial performance and improved member outcomes.