Best data practices to improve HEDIS scores

The fragmentation of healthcare data across disparate IT platforms, standards, and privacy controls poses a challenge for organizations striving to obtain a comprehensive understanding of member health.

Poor data quality has been shown to cost organizations an average of $12.9 million per year and represents significant risks to compliance with industry standards.

Read this guide to learn how clinically intelligent AI-powered lab mapping solutions can overcome these challenges and elevate HEDIS quality scores.

Vendor:: Wolters Kluwer
Posted:: Jun 4, 2024
Published:: Jun 4, 2024
Format:: HTML
Type:: White Paper

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