by Aspirion | Apr 8, 2024 | Denials Management
According to a KLAS report on Denials Management Services 2024, healthcare organizations are generally satisfied with their vendors’ expertise, overturn rates, and denial prevention services. The report focused on four vendors. Aspirion received the highest...
by Aspirion | Mar 27, 2024 | AI/ML, Denials Management
Artificial Intelligence (AI) has the potential to revolutionize Revenue Cycle Management (RCM) by improving efficiency, decision support, and patient engagement. AI-driven solutions can proactively predict and manage denials through claims data analysis, allowing for...
by Aspirion | Mar 10, 2024 | AI/ML, Denials Management
Healthcare is experiencing an AI revolution amidst rising costs, labor shortages, and declining margins. Recent analyses show a significant increase in insurance claims denials, with initial denials jumping 11.9% year-over-year and Medicare Advantage denials rising...
by Aspirion | Feb 22, 2024 | AI/ML, Denials Management
Hospitals and health systems across the United States are facing unprecedented rates of claims denials, negatively impacting their revenues and straining relationships with payers. These denials lead to multiple challenges, including increased administrative costs,...
by Aspirion | Feb 14, 2024 | AI/ML, Denials Management
Provider organizations need to embrace advanced technologies for revenue cycle management (RCM) to address low cash reserves, rising denials, and high burnout rates. Claims denials are increasing in number, value, and complexity, while resolution times are lengthening...
by Andrew Ficco | Feb 12, 2024 | Aged AR, AI/ML, Denials Management, Motor Vehicle Accident, Out-of-State Medicaid, Staff Training, Underpayment Recovery, Veterans Affairs, Workers’ Compensation
In the realm of hospital finance, the mantra “Out with the old and in with the new” can mark a transition towards embracing new and innovative financial management approaches for hospitals in 2024. In this session we explore the transformative shift from...
