Ahead of the curve - healthcare AI start-ups: Changemakers for adoption and normalization of AI in the healthcare industry

Abstract: This thesis investigates healthcare AI start-ups as changemakers to build adoption for AI in healthcare. Most industry observers agree - the benefits of AI are large in healthcare, but adoption thus far is slower than in other industries. Why is this the case? Research questions: which challenges do healthcare AI start-ups face as they attempt to develop and create adoption for their products? Why do these challenges occur? How and why do the challenges change over time? Findings: Healthcare AI start-ups face challenges with (1) product-market fit, (2) data and technology, (3) regulation management, (4) organization and talent, (5) low customer readiness for AI. These challenges occur at different stages of the product development process. These challenges occur because AI is a new practice that has not been normalized in healthcare operations. Medical professionals and other decision-makers struggle to understand what AI is, the benefits it can create, and how to implement AI in their operations).