Agent as a Service (AaaS): The Next Transformation in Healthcare

Abstract

The buzz surrounding artificial intelligence (AI) is pervasive, and healthcare is no exception. Both established companies and startups are promoting AI as the key to resolving long-standing challenges in the industry. However, these claims often rely on assumptions about the availability and quality of medical data that do not hold up in real-world settings. While AI offers strong benefits in certain targeted use cases, it’s not a universal solution. In many use cases, practical outcomes can be achieved more effectively through robust engineering and analytics rather than complex AI-based approaches. Despite this, many organizations – especially consultants capitalizing on the current enthusiasm – are overengineering solutions with AI, generative AI, or Agentic AI when simpler approaches would suffice. In specific cases, Agent as a Service (AaaS) has the potential to significantly enhance healthcare delivery. This article provides an overview of Agentic AI, how it differs from traditional SaaS models, and its emerging role in improving healthcare processes and collaboration.