Healthcare leaders do not need another lecture about tight margins or staffing shortages - they need time back and cash in faster. That is exactly what smart RCM automation delivers. Across front-end access, mid-cycle coding, and back-end collections, the same pattern repeats: manual steps create avoidable denials, staff burnout, and
A new Senate Subcommittee report has confirmed what many SNF operators already suspected: major Medicare Advantage (MA) plans are using AI to systematically deny post-acute care -regardless of patient need. UnitedHealth, CVS/Aetna, and Humana, which collectively cover nearly 60% of MA enrollees, have dramatically increased their denial rates for
Why even the best SNFs are bleeding revenue from missed diagnoses, delayed assessments, and outdated tools - and what leading operators are doing differently. Ask any MDS coordinator how their week’s going, and you’ll get the same answer: too many charts, not enough time. In 2025, it’s
The Patient Driven Payment Model (PDPM) significantly changed how skilled nursing facilities (SNFs) receive reimbursements from Medicare, shifting away from volume-based payments towards a value-driven approach that emphasizes patient-specific characteristics. For administrators, clinicians, and financial staff at SNFs, understanding PDPM is crucial for maintaining compliance, ensuring financial viability, and delivering
AI-driven Revenue Cycle Management (RCM) solutions are helping healthcare providers become more efficient, accurate, and profitable. Here, we compare the top five AI-powered RCM automation platforms available in 2025: Nanonets Health, Jorie AI, Thoughtful AI, Droidal, and Charta Health. 1. Nanonets Health Overview: Nanonets Health automates front-end RCM tasks like
Introduction In the ever-evolving world of healthcare revenue cycle management (RCM), automation is no longer optional - it’s essential. But not all automation is created equal. For over a decade, robotic process automation (RPA) has helped RCM teams mimic human keystrokes and clicks to handle repetitive workflows. In 2025,
Introduction Healthcare revenue cycle teams are at a breaking point. Manual eligibility checks. Endless faxing for prior authorizations. Scrubbing claims line-by-line for compliance. It’s a workflow that drains time, burns out staff, and delays payments. But in 2025, artificial intelligence is changing that. AI-powered revenue cycle automation is no
The Minimum Data Set (MDS) is the backbone of skilled nursing facility (SNF) reimbursement under Medicare's Patient-Driven Payment Model (PDPM). Yet, despite advances in technology, many facilities still manage MDS assessments using manual processes - spreadsheets, paper charts, and endless audits. This approach isn't just outdated;
The healthcare industry faces a financial paradox: despite cutting-edge clinical advances, revenue cycle operations remain trapped in workflows designed for a pre-digital era. While physicians deliver state-of-the-art treatment, their financial teams use manual processes that hemorrhage revenue and burn out staff. “Physicians have this inherent misconception that billing is just
Here's the brutal truth: while everyone obsesses over value-based care strategies and population health management, post-acute care providers are hemorrhaging money through archaic revenue cycle processes that belong in the 1990s. I've witnessed firsthand how manual RCM processes are killing post-acute facilities. These organizations spend more
Back in 2019, the PDPM (Patient-Driven Payment Model) fundamentally changed how skilled nursing facilities (SNFs) get reimbursed under Medicare. On the face of it, the new system of reimbursement promised a holistic view of patients (and a lot more revenue for SNFs). Yet, 5+ years later, many facilities continue to
Healthcare's financial bedrock is shifting. While clinical innovation captures headlines, revenue cycle automation has emerged as the dividing line between thriving providers and those facing financial distress. The data speaks volumes: organizations deploying comprehensive revenue cycle automation report 37% faster cash collection, 42% fewer denials, and $13.50
What Is Eligibility Verification and Why It Matters Now Eligibility verification confirms patients' insurance coverage status, benefits, and financial responsibility before service. This foundation of the revenue cycle determines whether services will be covered, at what percentage, and what patients will owe – information that directly impacts your bottom line.
The post-acute care landscape in 2025 looks nothing like it did even two years ago. Patient volumes are surging across all demographics, yet facilities face unprecedented scaling challenges, with nearly 70% reporting inability to meet demand due to prohibitive staffing costs and operational inefficiencies. The perfect storm hitting different post-acute
AI-powered revenue cycle automation meets practice management - to cut administrative costs by 90% and fast-track reimbursements. Nanonets Health and Healthie have announced a strategic partnership that will transform how healthcare providers manage their revenue cycle. This strategic alliance integrates Nanonets' AI-powered automation with Healthie's practice management
Let's be honest - if you're running a SNF in 2025, you're spending way too much time fighting for reimbursement that should've been straightforward in the first place. I was talking with a Nursing Director in Oregon last week who told me
According to the American Data Association’s Q1’25 data, 95% of dental practices currently accept new patients, yet a surprising 28% report being ‘not busy enough’. This disconnect reveals a critical inefficiency in how practices convert interested patients into scheduled appointments. Key findings from the report highlight three primary
Most healthcare organizations see intake as an administrative formality. It’s not. It’s one of the most expensive, error-prone, and underrated parts of the revenue cycle. The average patient intake costs between $14–$23 per patient, depending on specialty (source: HFMA). Multiply that by 1,000 new patients per
Let’s face it: most RCM teams are quietly drowning in a sea of repetitive work. Eligibility checks. Fax follow-ups. Manual data entry. Status calls. Copy-paste chaos. The scary part? A huge chunk of it is invisible overhead. It’s not tracked. It’s not optimized. It’s just... expected.
A few months ago, we decided to run an experiment. We deployed one of Nanonets' AI agents into a live production EHR at a mid-sized multispecialty clinic in the Midwest. The goal? See how much real-world admin work we could automate without human intervention. Spoiler: It worked pretty well
Prior authorizations are the worst. They delay care. They frustrate staff. They require logging into portals that haven’t been updated since 2004. And even when you do everything right, they still get denied. We asked our RCM partners across 50+ practices: What are the most annoying prior auths you
Every healthcare org has a dirty secret: the fax machine is still running the show. Whether it’s incoming referrals, prior auth requests, medical records, or insurance forms — they all come in via fax. Often scanned, rotated, low-res, handwritten, and totally disconnected from your EHR or billing platform. You can&
Referral leakage is one of the quiet killers in healthcare revenue. A patient gets referred - but the call to schedule never goes out. Or the fax gets buried. Or intake takes 3 days. The result? Lost revenue, poor patient experience, and angry referring providers. So we decided to build
Introduction: The Digital Fax and Its Limits It's 2025 but healthcare still operates like the 1970s. Almost all Post Acute Care facilities (PACs) and Skilled Nursing Facilities (SNFs) still use digital fax solutions to manage patient intake, referrals, and authorizations. This article aims to bring it back to