Reducing Errors and Denials with RPA & Machine Learning Healthcare claims and other billing documents contain a substantial amount of patient, provider and payor information that can originate from different HIT applications — which then leave room for error. Common issues include duplicate entries, incorrect coding and incomplete data. Any inaccuracies in the processing of
Efficiently Repairing Exception-Based Claim Errors Claim errors and missing information in patient billing can cost your organization valuable time and lost revenue. Identifying errors that cause delays in posting payments and getting them efficiently corrected is vital to financial performance. With ReMedics exception-based worklisting tools, we use over 200 customized data validation rules to automatically
Denial Prevention and Increased Staff Efficiency Benjamin Franklin is credited with having coined the phrase, “An ounce of prevention is worth a pound of cure.” It’s as relevant today as it was in 1736, especially when it comes to healthcare payor denials. In a recent survey* reported by Becker’s Healthcare, over 500 Chief Financial Officers
Augment Your Billing Staff with Outsourced Payment Processing For many physician groups, medical clinics and MSOs, staffing shortages in the business office have contributed to a variety of cash flow obstacles. A/R backlog continues to affect cash management as the volume of unpaid claims and denial rates remain a constant challenge. In a recent article
