Data Revenue Cycle Management Technology

EHR Data Integrity: Uncovering Common Issues in Practice Management Systems

We frequently encounter EHR data integrity problems within electronic health records (EHR), practice management, billing, and laboratory information systems. These issues can range from simple anomalies in reporting to complex structural database problems. While some issues can be easily resolved, others require more complex solutions. Today, we encountered a particularly nonsensical issue that highlights a […]

Data Revenue Cycle Management Technology

AdvancedMD’s ‘AI’ and Custom Reporting: Navigating Features and Misleading Terminology

Advanced MD’s custom reporting tool, “Advanced Insights” (AI), is a powerful tool for generating custom reports. However, the use of the acronym “AI” is misleading, as it implies the use of artificial intelligence, which is not the case. The underlying technology appears to be Cognos, a reputable business intelligence tool from IBM. Limitations of Advanced […]

Revenue Cycle Management

Evaluating AI Vendors for Revenue Cycle Management (RCM)

I saw an interesting article recently concerning artificial intelligence and machine learning in revenue cycle management, focusing on evaluating AI vendors for RCM. It was pointing to pre-authorizations and pre-certifications as an excellent area for using this technology. This article was initially available on our podcast. Click here to listen. Learning to Compare Results: Evaluating […]

Data

Data Science in Healthcare: Understanding AI, Analytics, and Their Impact on Financial Data

Analytics, statistics, data science, artificial intelligence. What does all this mean? What are we doing in data science in healthcare, specifically in revenue cycle management concerning financial data for healthcare? First, what is data science? This is a way of categorizing or grouping a whole bunch of things related to big data computer science, which […]