The AI remedy: Curing healthcare's biggest challenges

The healthcare industry stands at the inflection point. For decades, healthcare has been characterized by slow-moving adoption of technology, with administrative burdens that have contributed to physician burnout and early retirement. But today, artificial intelligence (AI), particularly generative AI and AI agents, is set to fundamentally improve how care is delivered, how clinicians work, how back-office tasks are handled and how patients experience the healthcare system. AI is poised to address healthcare’s most persistent challenges in ways that were unimaginable just a few years ago. The benefits mostly span two areas: clinical excellence and operational efficiency.

Why now? Many factors make this moment uniquely positioned for AI transformation in healthcare. Advances in large language models, retrieval-augmented generation and cloud computing have created the technical foundation for AI to handle the complexity of medical data, understand context and seamlessly integrate into key healthcare systems and processes. At the same time, urgent workforce challenges demand action. Despite improvements since the pandemic, nearly half of physicians still report symptoms of burnout, driven by volumes of administrative work that consume hours of their time daily. The competitive landscape adds further urgency, with 65% of U.S. healthcare organizations recognizing AI’s profound impact on their operations.