Strategic
Why You Should Start with Machine Learning, not RPA
In recent years, healthcare providers have increasingly been turning to automation technologies to streamline their revenue cycle management processes. Two popular options for this are machine learning-based data analysis and robotic process automation (RPA). While both approaches can be effective, there are compelling reasons to consider starting with machine learning-based data analysis.
Read MoreMiddle-office
Utilizing Data Analytics to Optimize Medical Coding Accuracy and Maximize Reimbursements
As the healthcare industry continues to evolve, healthcare providers are increasingly looking for ways to optimize their medical coding practices to ensure maximum reimbursement and compliance with regulatory requirements. One effective way to achieve this is through the use of data analytics, which can help healthcare providers identify trends and patterns in medical coding practices, leading to improved accuracy, better financial outcomes, and improved patient care.
Read MoreFront-office
Reducing Denial Rates through Data-Driven RCM
In the healthcare industry, revenue cycle management (RCM) is crucial for the financial success of healthcare organizations. One of the major challenges faced by healthcare providers is the high rate of claim denials. Denial rates can have a significant impact on the revenue cycle and the financial stability of healthcare organizations. However, with the implementation of data-driven RCM strategies, providers can identify the root causes of claim denials and reduce their denial rates.
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What AI and ML in RCM Really Means
The healthcare industry is rapidly evolving, and the introduction of artificial intelligence (AI) and machine learning (ML) technologies is revolutionizing healthcare revenue cycle management (RCM). AI and ML are emerging as powerful tools that can improve healthcare operations and enhance patient outcomes. In this article, we will explore what AI and ML mean in healthcare revenue cycle management.
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How Can I Improve How I Use My RCM Data?
As the healthcare industry becomes increasingly digitized, data has become an essential component of revenue cycle management. Efficient use of data can lead to better financial outcomes for healthcare providers, but it requires a deliberate and systematic approach. In this article, we will discuss several ways you can improve how you use data in healthcare revenue cycle management.
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The Do’s and Don’t’s of Vendor Consolidation
Healthcare revenue cycle management (RCM) is a complex and multi-layered process that involves managing claims, billing, collections, and payments. As healthcare organizations continue to face financial pressures and operational challenges, vendor consolidation has become a popular strategy to streamline RCM processes, reduce costs, and improve performance. However, consolidating vendors is not a simple process, and it requires careful planning, implementation, and management to avoid potential pitfalls. In this article, we will explore the do’s and don’ts of vendor consolidation in healthcare RCM.
Read MoreBack-office
What are the 3 Layers of Denial Analytics?
Healthcare revenue cycle management is a complex process that involves multiple stages, from patient registration to payment collection. Denial management is a crucial aspect of this process, as it helps healthcare providers identify and address the reasons why claims are denied by insurance companies.
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Are Analytic Platform Services a Thing of the Past?
Analytics platform services have been a cornerstone of businesses' efforts to make sense of their data and gain insights into their operations. However, with the rise of machine learning and artificial intelligence, some have questioned whether analytics platform services are becoming a thing of the past. In this article, we will explore whether analytics platform services are still relevant and necessary in today's data-driven world.
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What Does RPA Even Really Mean?
In recent years, RPA has become an increasingly popular buzzword in the business world. Many companies are turning to RPA to streamline their operations, reduce costs, and improve efficiency. But what does RPA even really mean? In this article, we will explore the basics of RPA and how it is being used in today's business landscape.
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