Rohan is part of the product team at Nanonets Health, building AI agents for manual tasks in healthcare admin.
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 This approach isn't just outdated;
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
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