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.
This talk has been presented at JSNation US 2025, check out the latest edition of this JavaScript Conference.
