Talix Introduces Commercial Risk Adjustment Support for Providers and Health Plans
By a
"Healthcare organizations participating in the ACA exchanges face substantial financial challenges, often stemming from inaccurate risk scores that mean the difference between paying out rather than receiving transfer payments," said
Powered by Talix's data analytics platform, Coding InSight combines machine learning with advanced natural language processing (NLP) technology, sophisticated clinical rules and a proprietary medical taxonomy to comb intelligently through data from disparate sources - such as claims, electronic medical records and scanned charts - to accurately identify missed or inaccurate condition codes in patient data. The application then provides correct code recommendations based on the evidence found (e.g., diagnoses, assessments and treatments).
Commercial support for Coding InSight adds the ability for users to risk-stratify their commercial patients and members by metal level and age group. By supporting concurrent as well as prospective and retrospective coding, it enables providers and professional coders to easily create chase lists, identify high-risk patients, close coding gaps and document conditions more accurately. Health plans gain clearer insight on how their risk adjustment performance impacts transfer payments throughout the year so they can adjust their strategy accordingly.
Keywords for this news article include: Talix,
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