Provider Data Accuracy Without Compromising Network Adequacy
Provider data accuracy and network adequacy are deeply connected, yet often at odds. In this Modern Healthcare article, learn how improving accuracy reveals access gaps and how health plans can stay compliant while protecting member access.
Candor Health CEO Sury Agarwal explores why traditional provider data management approaches fall short as regulatory pressure intensifies. By unpacking how inaccurate, outdated systems create blind spots in network access, he makes the case for AI-driven infrastructure that continuously validates provider data and helps plans respond quickly when gaps emerge. The result is a shift from audit-driven cleanup to proactive network management that strengthens access, reduces risk, and builds member trust.
Standardize provider roster ingestion, reduce reconciliation overhead, and improve provider directory reliability with Candor Health.
Sury Agarwal is on a mission to transform how healthcare organizations access, manage, and trust provider data. Candor’s AI-powered platform supports payers, digital health companies, and provider groups with care navigation, referral management, network strategy, and regulatory compliance. Sury brings 12+ years of experience tackling complex data challenges. Previously, he was VP of Engineering and part of the founding team at Moat, which was acquired by Oracle for $850M in 2017. He is a Cornell University graduate.
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