DataLink achieves NCQA HEDIS® certification for measure year 2024

TAMPA, Fla.--(BUSINESS WIRE)--DataLink, a leading provider of data-driven solutions for high-quality, value-based care, today announced that they’ve achieved NCQA HEDIS® certification for measure year 2024.

For the sixth year in a row, DataLink has shown it’s educated and versed in all HEDIS measures, and that it can be a trusted vendor that’s dedicated to providing accurate, data-driven healthcare solutions to its clients.

“This certification demonstrates our unwavering commitment to excellence in healthcare data management, validating DataLink’s capabilities and providing clients with confidence in our industry-leading solutions for quality improvement and enhanced patient care,” said Ashish Kachru, CEO, DataLink. “It marks a significant milestone for DataLink, reinforcing our role as a trusted partner, helping our clients achieve clinical quality and operational efficiency.”

DataLink used clinical quality language (CQL) and structured query language (SQL) for the certification. CQL is an open-source standard published by HL7, which defines a high-level domain-specific language that allows a human-readable description of clinical quality logic to express clinical knowledge.

“We were excited to use CQL to code many of the new measures for our Evoke360 platform,” said Reddy Shivampet, chief technology officer, DataLink. “It ensures consistency across the industry and integrates nicely with our tech stack and plans for the future.”

This certification allows DataLink to operate as a certified HEDIS vendor for current or prospective clients. DataLink can generate a data feed using proprietary engine logic and provide clients with its existing HEDIS reporting package based off the data generated.

With this certification, DataLink continues to lead the way in delivering innovative, high-quality solutions that drive better health outcomes and optimal economic performance.

DataLink remains dedicated to supporting our clients as they navigate the complexities of healthcare data management and achieve their quality improvement goals.