Cardiology practices face unique revenue cycle management challenges that generic RCM solutions often can’t address. After analyzing common failure points across hundreds of cardiology practices, we’ve identified five critical areas where targeted automation can significantly improve financial outcomes. Problem 1: Complex Coding Accuracy The Reality: Cardiology coding involves intricate scenarios that trip up even experienced…
The specific problems costing practices hundreds of thousands annually—and the technology solutions that fix them. IONM executives face a tough reality: despite providing critical patient safety services, their practices are losing revenue through preventable coding errors, unnecessary claim denials, and operational inefficiencies. The good news? These aren’t intractable problems. They’re systematic challenges that smart technology…
Here at Revedy, we’re focused on best practices around automated coding and the use of AI. At the HFMA conference, leaders from Mayo Clinic, Kaiser Permanente, and Amazon Health Services (One Medical) shared their experiences with AI automation in healthcare revenue management. Their insights covered both progress and hurdles and reinforced the Revedy focus on…
In the complex world of Intraoperative Neuromonitoring (IONM) coding and broader RCM processes, providers face very specific challenges in ensuring accuracy, compliance, and optimal reimbursement. The diverse data sources used in IONM, including raw data from Cadwell and others, and tech reports, EHR outputs, and more can vary across organizations, further complicating the coding process….
Healthcare executives understand the role coding plays in the revenue cycle and its impact on their organization’s financial performance. They face challenges hiring, retaining, and managing coding staff. Staff shortages, turnover rates, and absenteeism lead to coding backlogs, delayed reimbursements, and lost revenue. The costs associated with recruiting, hiring, and training new coding staff can…