As the healthcare industry continues to shift towards value-based care models, revenue cycle management (RCM) is becoming increasingly complex. In order to optimize RCM for value-based care, healthcare organizations must embrace new payment models, focus on quality and outcomes, and leverage technology solutions that can streamline their RCM processes. In this blog post, we’ll explore
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As the healthcare industry evolves, so does the need for accurate and efficient Quality Assurance (QA) in Revenue Cycle Management (RCM). QA is a critical process that ensures the accuracy and completeness of your claims data and is essential for successful claims and refunds. Unfortunately, the current manual processes used for quality assurance in RCM
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The field of medical coding is one of the most critical and complex areas in the healthcare industry. Accurate coding is essential for several reasons, including ensuring proper reimbursement for healthcare providers, facilitating efficient revenue cycle management, and maintaining compliance with federal and state regulations. However, despite its importance, medical coding can be a challenging
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Data science techniques, including artificial intelligence (AI) and machine learning (ML), share a symbiotic relationship with healthcare and can help solve many critical healthcare challenges. Whereas data science involves drawing meaningful insights through the analysis of data, healthcare collects and generates vast amounts of data, both critical and general, to provide best possible services to
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Intelligent cloud-based electronic health record (ICEHR) was conceptualized as a system with the potential to revolutionize health care delivery. An aging population, combined with rising healthcare expenses, forced healthcare organizations and governments to seek novel, cost-effective solutions that would save money while minimizing their operational burden. Using technology such as electronic health record (EHR), not
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