소개
Digital phenotyping is transforming how we understand health—by turning everyday digital signals into actionable insights. In this program, you’ll learn how data from smartphones, wearables, and connected tools can be responsibly collected, interpreted, and translated into real-world health innovation. Designed for clinicians, public health professionals, researchers, product teams, and innovators, the course bridges the gap between technology and care delivery, with a strong focus on ethics, equity, and implementation in diverse settings. You’ll explore the foundations of digital phenotyping (active vs. passive data, behavioral and contextual markers), study practical use cases across mental health, chronic disease management, maternal and child health, and population health, and understand how to design studies and products that are clinically meaningful. We’ll cover data quality, bias, validation, privacy-by-design, consent, governance, and regulatory considerations—so you can build solutions that earn trust and scale. By the end, you’ll be able to frame a health problem for digital phenotyping, select appropriate signals and tools, define outcomes, plan analysis and evaluation, and create an adoption-ready roadmap for deployment with stakeholders. Whether you’re launching a pilot, strengthening a research protocol, or shaping a digital health product, this program equips you with the concepts, frameworks, and practical steps to move from data to impact.