Digital Health, Telemedicine, and Healthcare AI

# Digital Health, Telemedicine, and Healthcare AI: Product Evaluation, Evidence, Implementation, and Risks Digital health is everywhere—in your inbox, your hospital's board meetings, your patients' phones, and your investors' portfolios. Telemedicine platforms promise 24/7 access. AI diagnostics claim to read X-rays better than radiologists. Remote monitoring startups pitch revolutionary chronic-disease management. But a lot of digital health hype outpaces reality. Some products deliver genuine value. Some create more problems than they solve. Many are built on weak evidence, face adoption barriers no one anticipated, or have business models that don't work. As a healthcare leader, clinician, product manager, or investor, you need to evaluate these products critically—to separate the signal from the noise. This course teaches you to think like a skeptic. Not to dismiss digital health, but to ask the hard questions: What evidence actually supports this? Who will really use it, and why? What's the reimbursement story? What could go wrong? This isn't a marketing pitch for digital health. It's a decision-maker's guide. You'll learn to assess clinical evidence rigorously—understanding why an RCT matters but real-world data matters too, and why many digital health products have neither. You'll navigate FDA regulations and CMS coverage decisions that gatekeep which products get approved and reimbursed. You'll evaluate the product categories—telemedicine, remote monitoring, clinical AI, digital therapeutics—and understand what each actually does and doesn't do well. But evidence alone isn't enough. You'll learn why implementation fails more often than the technology itself does. You'll understand clinician adoption barriers (alert fatigue, workflow burden, liability concerns) and patient engagement challenges (digital literacy, privacy concerns, low adherence). You'll learn to assess business models and reimbursement—many digital health companies generate revenue but not profit, and understanding why is essential for sustainability. You'll see how digital health can widen or narrow health equity gaps. You'll understand the privacy, security, and regulatory risks that can derail initiatives. And you'll develop practical frameworks for evaluating products and making adoption decisions that integrate evidence, implementation reality, business viability, and equity considerations. This course is grounded in real implementations, real failures, and real data. It's for anyone responsible for deciding whether to deploy, invest in, or lead digital health initiatives. By the end, you'll be able to evaluate digital health products critically, ask the right questions, and make decisions you can defend to clinicians, patients, and boards.