Tag: AI in Revenue Cycle Management

Navigating RCM Challenges for Financial Success

Code Blue or Cash Flow? Mastering Today’s Revenue Cycle Challenges

RCM Challenges :  Today’s fast-paced healthcare industry, where rules are always changing and technology is advancing at breakneck speed, can make it challenging to navigate the complexities of medical billing, coding, and revenue cycle management (RCM). In addition to maximizing cash flow and protecting your practice’s financial health, there is also the constant risk of […]
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Key Survey Findings: Common Causes of Healthcare Claim Denials

According to a recent survey, eligibility and prior authorization issues were among the most prevalent causes of claim denials. Hospitals and healthcare systems are experiencing an uptick in claim rejections due to errors in front-end revenue cycle processes. The Healthcare Financial Management Association’s Pulse Survey program, conducted for a healthcare technology company, gathered responses from […]
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Optimizing Revenue Cycle Management Best Practices and AI Potential

Optimizing Revenue Cycle Management: Best Practices and AI Potential

From the inception to the conclusion of the Revenue Cycle Management (RCM) pipeline, it is imperative for practices to implement enhanced analytics and streamlined workflows. Healthcare providers have grappled with the challenge of receiving proper compensation for their services, and the current reimbursement landscape presents even greater obstacles compared to previous years. Payors are persistently […]
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The ROI of RPA and AI in The Revenue Cycle

HBI data reveals that the rate of hospitals or health systems that have implemented artificial intelligence for any revenue cycle function has not widely increased over the past year, but automation in healthcare has shown some forward movement in comparison. Based on the conversations revenue cycle analysts have conducted with HBI members over the past […]
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