Healthcare is a team effort, and effective communication is critical. But what happens when different providers and payors use different terms for the same condition? Enter standardized medical terminology—a powerful tool that ensures everyone, from rural hospitals to major health systems, speaks the same language.

In this episode, Jon Lange sits down with Ivana Naeymi-Rad to explore how structured clinical data impacts patient care, provider efficiency, and even public health intelligence. They discuss how AI-driven solutions are refining medical documentation, enabling precise diagnoses, and even predicting disease outbreaks in real time.

Key takeaways from this episode:

• How granular, standardized clinical terminology improves patient outcomes by ensuring every provider on a care team has access to precise, meaningful data.
• The ways advanced data systems can detect emerging health threats, sometimes even before the CDC offering public health insights in real time.
• AI & Machine Learning in Healthcare: AI has been a behind-the-scenes force in medical data for decades, but new advancements are supercharging its capabilities.
• Precision in Clinical Trials: Standardized data enables researchers to quickly identify niche patient populations for groundbreaking treatments.

To learn more about THL’s work in building a better healthcare ecosystem for patients and practitioners alike, , visit THL.com/Healthcare