Silna has announced the launch of Predictive Document Intelligence, an AI-powered capability designed to proactively identify documentation and authorization gaps before prior authorization requests are submitted. The New York-based healthcare technology company has positioned the new functionality as an upstream solution to reduce denials, administrative rework, and care delays, particularly as regulatory timelines tighten under new federal rules.
The launch comes as providers adjust to requirements under the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), which took effect on January 1, 2026. The rule mandates that payors respond to urgent prior authorization requests within 72 hours and standard requests within seven calendar days, significantly reducing turnaround times that previously stretched for weeks. These changes have increased the consequences of incomplete or noncompliant documentation at submission.
Predictive Document Intelligence is part of Silna’s broader Care Readiness Platform and evaluates whether clinical documentation meets payer- and specialty-specific requirements before an authorization is filed. The system assesses common denial drivers across multiple dimensions, including assessment requirements, clinician credentials and signatures, outcome measures, and diagnosis coding. By validating these elements in advance, the platform is designed to ensure patients are cleared for care before requests enter payer review workflows.
Silna reports measurable operational impact from the technology. Prior authorization requests submitted using Predictive Document Intelligence have been accepted 24.5% faster, while requests validated through the platform have achieved a 98% first-pass acceptance rate. According to the company, these improvements reduce resubmissions and appeals while supporting faster transitions from authorization to treatment. Over time, consistent submission quality may also support eligibility for payer programs such as gold carding, where applicable.
“Prior authorization was originally intended to support evidence-based care, but it has become a reactive bottleneck,” said Jeffrey Morelli, co-founder and CEO of Silna. “Once a request is denied, providers are pulled into a time-consuming cycle of rework, follow-ups, and appeals that delays care and creates uncertainty around payment.”
Provider organizations using the platform have cited its impact on operational efficiency. “Silna’s Predictive Document Intelligence feature provides an extra layer of review to ensure diagnostic report accuracy, helping us prevent authorization denials,” said Nichole Joyce, Senior Director at AnswersNow.
The launch builds on Silna’s recent growth following its $27 million total funding round led by Accel and Bain Capital Ventures. The company now supports more than 150,000 patients nationwide and continues to invest in replacing fragmented, manual authorization workflows with AI-driven infrastructure focused on improving access to care.
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