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