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Executive Summary Hospitals work hard to secure every dollar they’re owed. But what if some of that money is quietly slipping away? It happens more often than you may think. Closed accounts marked as zero balance may seem fully resolved, but in reality, many still contain missed revenue—dollars that should ...Read More
Revenue Cycle Management (RCM) represents the financial backbone of healthcare organizations, with medical coding serving as a critical component that directly impacts revenue optimization, compliance, and operational efficiency. As healthcare systems worldwide grapple with increasing complexity in medical procedures, evolving regulatory requirements, and mounting financial pressures, the traditional approaches to medical ...Read More
Today’s healthcare landscape is more complex and demanding than ever. Providers must navigate intricate coding systems, stay compliant with ever-changing CMS regulations, and adapt to advancements in technology like AI and telemedicine—all while managing growing patient volumes and maintaining quality care. It’s an overwhelming challenge. Which is why accurate documentation ...Read More
The increasing frequency threat of cyberattacks impacted a significant number of healthcare facilities. These attacks complicated healthcare delivery by forcing many hospitals to redirect emergency services. As Veerendra Sheregar, Chief Information Security Officer (CISO) at GeBBS Healthcare Solutions, emphasizes, "Ransomware attacks targeting healthcare sectors more than doubled since 2020, exposing ...Read More
The healthcare industry is constantly evolving, and cancer registries play a crucial role in charting the course of cancer care, research, and forming policy. These registries hold important patient data such as demographics, tumor characteristics, treatments, and outcomes. Maintaining the integrity of this data is vital as it drives advancements ...Read More
In today's fast-paced and demanding healthcare industry, efficient revenue cycle management (RCM) is crucial for healthcare organizations to thrive. Manually coding data can be difficult and time-consuming, with a high risk of errors and limited resources. However, with the help of Artificial Intelligence (AI) and Machine Learning (ML), autonomous coding ...Read More