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HiLabs Recognized for Improving Healthcare Access

HiLabs, a frontrunner in artificial intelligence solutions for healthcare data management, has been acknowledged by KLAS Research as a recipient of the prestigious 2025 KLAS Collaborative Points of Light award. This accolade reflects the significant contributions made by HiLabs towards enhancing accessibility to care through advanced AI applications.

The recognition comes for HiLabs' collaborative effort with a prominent national health plan, targeting enduring difficulties that affect patient access, provider satisfaction, and regulatory compliance. The primary focus of this initiative included enhancing the accuracy of provider directories and optimizing process efficiency in managing provider rosters, each of which serves as a cornerstone for ensuring network integrity and access to care.

KLAS Research, trusted for its thorough evaluation of healthcare services, praised HiLabs for delivering measurable results: improved data exchange, greater accuracy in provider directories, and notable reductions in administrative costs. Their concerted efforts led to impressive annual savings of $80 million for the payer, underscoring the financial benefits of integrating intelligent automation in healthcare practices.

In the 2025 Points of Light case study, KLAS showcased HiLabs' innovative use of proprietary, healthcare-specific large language models (LLMs) designed to tackle the challenges posed by unstructured and inconsistent provider data. As a direct result, HiLabs achieved remarkably enhanced accuracy, streamlined operational processes, and reduced administrative burdens. According to the report, HiLabs achieved a 97% accuracy rate in provider directories by resolving over 3 million incorrect provider locations, significantly boosting CMS audit scores and helping payers meet regulatory standards.

Amit Garg, CEO of HiLabs, expressed his enthusiasm upon receiving the award, stating, "Recognition from KLAS highlights the effectiveness and industry relevance of our AI solutions in solving foundational healthcare data challenges. Accurate provider information directly influences patient care, player satisfaction, and regulatory compliance. Our work has demonstrated that the combination of AI-driven technology and well-aligned stakeholder processes can transform currently complex data management from an ongoing challenge into a strategic asset."

The case study further emphasized HiLabs' structured approach to training, which played a crucial role in improving provider acceptance. This strategy included soft launches, real-time feedback loops, and engaged onboarding, all aimed at fostering collaboration among providers.

Looking towards the future, HiLabs is determined to broaden its influence by continuously evolving its provider data platform, with goals centered around further enhancing directory accuracy and roster automation. Their overarching objective is to arm healthcare payers with smarter tools for optimizing networks, ensuring compliance, and facilitating seamless data exchange.

To access the full KLAS report detailing these seminal findings, visit HiLabs Report.

About KLAS

KLAS Research serves as a leading independent authority on healthcare information technology, translating firsthand feedback from health systems, payers, and investors into comprehensive vendor ratings. This data-driven analysis is highly regarded as a credible benchmark for vendor reliability, offering transparency, validation, and significant influence in healthcare technology decisions.

About HiLabs

HiLabs specializes in AI-powered healthcare data management solutions, focused on cleaning up and maximizing the potential of compromised data for healthcare payers. With a commitment to transforming the healthcare landscape through innovation, collaboration, and an unwavering focus on bettering patient outcomes, HiLabs remains a crucial player in the healthcare technology sector. For more information, explore HiLabs or contact [email protected].