Applications of AI in Healthcare

The healthcare sector is the largest in the US economy and is uniquely complex, with strict regulations, numerous interconnected stakeholders, and intricate workflows. Historically, although rich in data, healthcare companies have been relatively slow to adopt technological innovations due to significant integration challenges, regulatory complexities, and entrenched traditional practices. The past decade has seen incredible progress in artificial intelligence (AI), and it has become a key part of the healthcare industry for both patients and practitioners, revolutionizing diagnostics, therapeutics, treatment, and more across the health system. This technical note explores the integration of AI within various healthcare domains at an introductory level. It is organized around four key domains: (1) pharmaceuticals and biotechnology, (2) care delivery and patient engagement, (3) health insurance and payers, and (4) public and population health. At the University of Virginia Darden School of Business, the technical note is used in "Healthcare Marketing" in the MBA program. This note is ideal for undergraduate and graduate courses on healthcare, technology, marketing, and management of healthcare organizations.<p>Excerpt</p><p>Applications of AI in Healthcare</p><p>Introduction</p><p>AI is perhaps the most transformational technology of our time, and healthcare is perhaps AI's most pressing application.</p><p>—Satya Nadella, CEO, Microsoft Corporation (Microsoft)</p><p>Have you chatted with a virtual assistant about insurance? Tracked your steps with a wearable? Asked a chatbot for a personalized meal plan?</p><p>You're already experiencing how artificial intelligence (AI) is quietly reshaping aspects of our health.</p><p>. . .</p>