Deep dives into healthcare fraud detection, AI innovation, and program integrity insights from our team.
Most ACOs sit on claims data that could surface millions in billing irregularities — but lack a clear strategy for acting on it. Here's how structured, evidence-based outreach gets providers to self-correct without formal enforcement.
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Medicare Advantage membership is a moving target — Medicaid eligibility shifts, CMS databases lag, and if you miss a rejection without proactively reaching out, the loss is yours. We built the Transaction Monitor so plans can stay on top of every enrollment transaction, year-round.
Read moreNew Pulse Landscape views and Web Search Agent give you instant access to thousands of facilities and providers across ACOs, FQHCs, and SNFs — powered by public and proprietary data sources.
Read moreWhy we're building AI that starts as your conversational partner and evolves into the autonomous intelligence layer running your healthcare operations. The gap in the market, what we're learning, and where this is all heading.
Read moreLoad specialized healthcare knowledge, SQL templates, and analytical frameworks into your AI conversations. Skills transform complex domain expertise into reusable, shareable building blocks.
Read moreSet up recurring AI-powered reports delivered daily, weekly, or monthly. Turn your one-time data pulls into automated workflows that keep your team informed.
Read moreGet started with Falcon Health in three simple steps. From signing in to exploring Sentinel and Pulse, we'll show you the way.
Read moreIntroducing Pulse & Sentinel v0.0.14—the first step in our vision to eliminate coordination overhead. When lean, expert teams can execute directly without handoffs, healthcare analytics moves at the speed of thought.
Read moreIntroducing Pulse & Sentinel v0.0.13—removing the three fundamental bottlenecks in healthcare analytics: opaque AI, fragmented data, and technical barriers. Now with transparent tool usage, unified data access, and automatic visualization generation.
Read moreTo effectively combat healthcare fraud, we need to think like fraudsters. Learn how understanding fraudster tactics (from timing and threshold gaming to identity manipulation) reveals critical system vulnerabilities and enables more effective fraud detection.
Read moreMost healthcare data platforms make you jump through hoops before you can evaluate if they're right for you. We think that's backwards. Now you can try Pulse, Scope, and Sentinel (all three products) with just an email address.
Read moreWith healthcare fraud draining $760+ billion annually, pattern-matching detection methods are fighting a losing battle. Learn how investigative AI agents are revolutionizing fraud detection by reasoning like human experts instead of memorizing historical cases.
Read moreManual fraud investigation across internal datasets, digital footprints, and public records takes weeks. Our AI agent orchestrates specialized sub-agents across all three data pillars, delivering comprehensive investigation reports in hours instead of days.
Read moreDespite impressive general intelligence, AI models struggle with specialized healthcare fraud detection. The gap isn't capability, it's context. Here's how Falcon AI bridges general intelligence to actionability by giving AI the right domain-specific tools, achieving 8.3/10 performance vs 6.5-7.2 for baseline models.
Read moreThe Medicare Coverage Database governs $32 billion in improper payments yet finding relevant policies requires navigating 10,000+ documents with inconsistent medical terminology. Current search tools fail, forcing analysts to manually hunt through irrelevant results. Here's how Falcon Healthcare built AI that actually understands healthcare data.
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When "recession-proof" becomes free-fall, and billions vanish overnight
Read moreStop being blindsided by utilization spikes and fraud schemes that traditional analytics miss. See how enhanced completion factor methodology with adaptive service grouping transforms reactive payers into proactive ones.
Read moreHHS-OIG revealed their keystroke error detection algorithm in 2023. We analyzed real client data and found 12.81% of I110 codes might be I10 typos, representing millions in audit exposure.
Read moreHow we built custom domain-driven tools for our AI investigator to navigate Medicare coverage databases, turning fuzzy policy language into precise, searchable criteria that dramatically improve fraud detection accuracy.
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