AI and the Impact on Coding

Artificial intelligence (AI) is transforming healthcare operations, and coding is no exception. In this session, we’ll explore how AI is reshaping the coding landscape, enhancing accuracy, streamlining workflows and strengthening compliance, while also raising new questions about risk, documentation quality and the evolving role of coders. From a revenue cycle and analytics perspective, we’ll examine how AI is being applied in ASCs today, including computer-assisted coding, audit automation and enhanced documentation support. Most importantly, we’ll highlight why coders remain essential to success, not replaced by AI but elevated as strategic experts who ensure accuracy and protect revenue. Participants will leave with insights into how AI can be thoughtfully applied to coding today, and what it means for the future

2026 ASCA Coding & Reimbursement for ASCs 1-13-2026

From Claims to Copilots: Architecting AI-Ready Operational Systems

Many organizations are eager to adopt AI, but few have the operational data architecture required to support it in production systems.
In real environments, critical workflow data is scattered across transactional systems, operational tools, and analytics platforms that rarely share a common model. Without a coherent operational architecture, AI tools struggle to reason about workflow state or produce meaningful insights.
This session explores how operational lifecycle modeling can create the foundation for AI-enabled systems.

Using a healthcare revenue cycle environment as a case study, we’ll examine how operational events can be captured in Microsoft Dataverse and unified with analytics in Microsoft Fabric to create a canonical operational model. This architecture allows AI copilots and automation tools to reason about the state of real-world workflows rather than disconnected data points.

Attendees will learn:
Why many AI initiatives fail when they start with models instead of architecture
How lifecycle-based data modeling improves observability of operational systems
How platforms like Dataverse and Microsoft Fabric can support AI-ready architectures

Rather than focusing on AI theory or tools alone, this session focuses on the operational systems design required to make AI useful in complex real-world environments.