Reveleer, a healthcare technology company using intelligent automation to empower data-driven healthcare for payers in all lines of business, announced the launch of NLP First Pass for Quality, an Artificial Intelligence (AI)-assisted abstraction solution for health plans and risk-bearing providers nationwide. NLP First Pass for Quality supports improved quality program performance using proprietary AI technology, including Natural Language Processing (NLP) and Machine Learning (ML). These advanced technologies automate, accelerate, and improve clinical data abstraction while reducing errors, inefficiencies, and program costs.
Accurate and complete clinical data abstraction is vital for health plan and provider quality measure performance and Healthcare Effectiveness Data and Information Set (HEDIS) submission, one of healthcare’s most widely used performance improvement tools. Yet, many organizations rely on time-consuming, inefficient, expensive, and error-prone manual review processes.
Reveleer’s NLP First Pass for Quality solves manual process problems with proprietary technology that automates data abstraction and uses NLP and ML advanced technologies to derive meaning from medical records. NLP reads and understands all the complexities and nuances of natural narrative text, extracting value from unstructured data. NLP for Quality improves operational efficiencies, making the abstractor’s job easier and improving productivity by 250 percent over a manual process.
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“Reveleer is shifting the paradigm for AI,” said Jay Ackerman, CEO and President of Reveleer. “NLP First Pass for Quality functions like a virtual quality team member by reliably presenting the most relevant clinical evidence to abstractors. This data curation allows the team to spend less time reviewing medical records and entering data and more time focused on closing care gaps that require deeper review – critical work for improving patient outcomes.”
Central to the NLP First Pass for Quality solution is its AI-driven Evidence Validation Engine (EVE), which appropriately measures quality and cost performance. EVE automates clinical record review, parsing and validating medical record events, then automatically populating data entry fields with the correct values by measure for consideration by the abstractor. Using Eve, NLP First Pass for Quality delivers accurate data and clinical insights to abstractors from within the medical record, making their job easier and more efficient with a fast-processing speed of only 10 minutes from data ingestion to the abstractor.
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