Wolters Kluwer helps payers accelerate medical chart review with clinically intelligent NLP

“Traditional technologies deployed for chart review simply search records for relevant terms and produce a long list of results that clinicians must sift through to get the information they need,” said Frank Jackson, vice president and general manager of Health Language at Wolters Kluwer, Health. “In contrast, Health Language Chart Review Accelerator was purposely designed to summarize search results with rich clinical context so clinicians can focus on relevant information and more easily and quickly answer the specific questions they are trying to answer.”

The new solution supports several important uses cases, including:

• Risk adjustment: Extracts clinical findings relevant to the most common HCCs for accurate risk adjustment
• Quality measure reporting: Surfaces key information relevant to the most common HEDIS measures from clinician notes to report more complete, accurate data
• Medical chart review: Speeds up patient chart review for medical necessity and pre-authorization purposes
• Predictive analytics: Enables the creation of structured, normalized data that powers predictive analytics, rules engines and machine learning models

By combining cutting-edge data science with deep domain expertise, Wolters Kluwer’s cNLP Chart Review Accelerator delivers the insights clinicians need to act. Wolters Kluwer’s exclusive Provider Friendly Terminology with over one million clinical synonyms, abbreviations, and related terms, is embedded in this cNLP solution to help clinicians optimize reporting and analytics, improve quality of care, and maximize reimbursement – all without adding to their administrative burden.