Publications
Explore Falcon articles, original research, white papers, and practical guides—all in one place.
A day-two reflection from the SNP Alliance Fall Forum on why fixed implementation costs from IRA and Part D changes can fall hardest on small Special Needs Plans.
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43 publications
Day one at the SNP Alliance Fall Forum showed why Falcon Health can look like revenue cycle work at first glance, and why Medicare Advantage plan payment reconciliation is something different.
Compare nine healthcare data platforms—including Arcadia, Innovaccer, Epic, Cotiviti, and Falcon—by architecture, workflow, and operational fit.
Day two at the National PACE Association Annual Conference showed the same lesson from cost analytics, risk adjustment, and Falcon Health: stay close to the source of the participant story.
After Falcon Health's first-ever exhibit and first full day with PACE leaders, the clearest question was also the most useful one: are you a TPA, or something more?
Helm turns trusted ACO data into accountable work—from performance signals to member-level evidence, ownership, follow-up, and outcomes.
The three design principles behind every Falcon screen and agent: make complexity understandable, keep people and AI grounded in the same work, and turn shared understanding into responsible action.
Finance, coding, payers, and vendors often arrive at different risk scores. The real work is tracing those differences to the data, rules, and CMS results behind them.
A retrospective study found measurable claim corrections after targeted provider outreach. Here is what the evidence supports, what remains exploratory, and how to build outreach that can be evaluated.
A landmark estimate puts overtreatment and low-value care at $98–131B a year in 2026 dollars. The strongest evidence supports precise identification, clinician feedback, and patient-inclusive follow-through—not blanket controls.
How real-world usage, harder benchmarks, richer data structure, and connected context help Falcon become a smarter healthcare research partner.
A concise, three-page look at how Falcon connects contract-aware risk-score calculation, payer and CMS reconciliation, recapture, and AI-supported suspect review.
A concise four-page summary of how human-reviewed, client-sent provider outreach was followed by measurable claim corrections and promising—but exploratory—changes in future payment.
A 16-page retrospective study comparing sent provider outreach letters with drafted-but-unsent controls across earlier-claim reversals and subsequent payment.
A realistic look at how an ACO leadership team can connect data quality, utilization, provider performance, payment integrity, and network strategy before the next board meeting.
How explainable billing profiles help healthcare teams spot meaningful provider changes, investigate potential FWA, and start better provider conversations.
A practical, four-page guide to the procedure codes, encounter data, and documentation practices that help PACE risk-adjustment diagnoses count.
What procedure co-occurrence reveals about care settings, practice models, and emerging payment-integrity concerns.
CMS ships the monthly and the annual final Model Output Report with byte-identical record layouts — the only thing distinguishing them is the dataset name, and that name rarely survives the parse. Stack the files together and you double-count risk scores. Deduplicate them and you may delete the settled year-end scores outright. The fix is two date fields read in the right direction.
A plain-language walkthrough of how Medicare overpayments happen, who becomes liable once one is identified, and why contestations—the flip side of overpayment—are a recovery opportunity most risk-bearing orgs leave on the table.
A practical framework for turning claims data into interpretable provider behavior profiles that help fraud, waste, and abuse teams understand what changed and where to investigate.
Enterprise organizations with OpenAI or Anthropic accounts can now connect their LLM platforms directly to Falcon's proprietary healthcare data—and seamlessly hand off to Falcon for deeper investigation without losing context.
The first in our research brief series. Medicare spending on urinary catheter codes A4352 and A4353 jumped roughly 20x in two years — and ACOs absorbed the cost. Download the full white paper.
An analysis of the rapid growth in urinary catheter billing, the suppliers driving the increase, and the disproportionate financial exposure borne by ACO-affiliated beneficiaries.
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.
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.
New 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.
Why 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.
Load specialized healthcare knowledge, SQL templates, and analytical frameworks into your AI conversations. Skills transform complex domain expertise into reusable, shareable building blocks.
Set up recurring AI-powered reports delivered daily, weekly, or monthly. Turn your one-time data pulls into automated workflows that keep your team informed.
Get started with Falcon Health in three simple steps. From signing in to exploring Sentinel and Pulse, we'll show you the way.
Introducing 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.
Introducing 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.
To 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.
Most 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.
With 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.
Manual 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.
Despite 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.
The 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.
When "recession-proof" becomes free-fall, and billions vanish overnight
Stop 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.
HHS-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.
How 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.
See how Falcon connects your care, payments, and performance work with the evidence your team needs to act.