En.605.704 [ CONFIRMED - 2026 ]

If you aspire to be at the intersection of data science and healthcare policy, or if you are an engineer who wants to see your device reach patients faster (and safely), this course provides the regulatory map and statistical tools to succeed. It is challenging, rigorous, and deeply practical.

For current JHU EP students, register early—this course fills up one semester in advance. For working professionals, consider auditing or enrolling as an NDS to future-proof your regulatory skill set. en.605.704

It transforms a messy spreadsheet of EHR data into a compelling, FDA-defensible story of safety and effectiveness. Disclaimer: Course content and availability subject to change. Always check the official Johns Hopkins University catalog for the most current syllabus, instructor information, and registration deadlines. If you aspire to be at the intersection

Traditional clinical trials are expensive, slow, and often fail to capture how a device performs in a diverse, real-world population. RWD—derived from electronic health records (EHRs), insurance claims, patient registries, and even wearable sensors—offers a solution. For working professionals, consider auditing or enrolling as

A: Expect 10–15 hours per week, including video lectures, readings (primary literature from NEJM , JAMA , and FDA dockets), and coding assignments.

Whether you are a regulatory affairs specialist, a data scientist entering the medical device field, or an engineer seeking to certify a novel implant, understanding the content of EN.605.704 is essential. This article provides a deep dive into the course curriculum, learning outcomes, prerequisites, career impact, and strategies for success. Before dissecting the course itself, it is crucial to understand why EN.605.704 exists. The 21st Century Cures Act and the FDA’s Real-World Evidence (RWE) Framework have fundamentally changed how devices are approved and monitored.