Aikerim Belispayeva

Behind every healthcare dashboard or billing report is a complex web of data logic, regulatory standards, and human decisions. As a Senior Analyst working at the intersection of medical finance and technology, I’ve spent years navigating payment audits, EHR systems like EPIC, and revenue optimization — all using SQL, Python, and data visualization platforms like Tableau.But too often, the tools we rely on break down at the interface level. Whether it’s a dashboard that hides critical edge cases, a confusing filter logic, or performance bottlenecks with large datasets, the gap between engineers and analysts becomes painfully clear.In this talk, I’ll share what non-JavaScript professionals (like data analysts and healthcare teams) wish JS developers understood — from the importance of transparent data flows and smart defaults, to accessibility for non-technical users and the challenges of real-world billing logic.This isn’t a technical deep dive into code — it’s a real-world case study of how design decisions in JS-powered tools can make or break healthcare outcomes, and how engineers can build better, more empathetic data tools.