Future-proof Your Pharmacy Systems with a Modular, Standardized Approach to Clinical Decision Support Interoperability

As pharmacies, health systems, payers, PBMs, and health IT organizations become increasingly connected, interoperability has taken on renewed importance. While advances in AI and clinical decision support are accelerating innovation, many organizations continue to struggle with a foundational challenge: fragmented, inconsistently coded clinical data. When patient data arrives mapped to proprietary terminologies instead of established standards like RxNorm, SNOMED CT, and ICD-10, it gets kicked out of automated workflows — creating manual exception queues, integration delays, and CDS that can't perform at its potential. For pharmacy and health IT leaders, this isn't just a technical problem. It's a direct operational cost.

In this discussion, pharmacy, clinical, and technology leaders will explore why standardized clinical data is essential to improving interoperability today — and enabling more intelligent, patient-specific decision support tomorrow. Join us as we discuss practical, modular approaches organizations can implement now to reduce workflow friction, strengthen data exchange, and build a scalable foundation for future innovation without requiring a complete system overhaul.

During the discussion, we'll explore:

1. The operational impact of fragmented and non-standardized clinical data on pharmacy workflows and clinical decision support — and what it costs in manual effort, integration time, and missed automation
2. Practical strategies to improve interoperability, reduce manual exceptions, and streamline data exchange across pharmacies, providers, payers, PBMs, and health IT systems
3. How a modular, standards-based CDS foundation enables patient-specific safety checking today — and scales to support emerging technologies, including AI-enabled clinical workflows, as your systems evolve.