AI applications in healthcare are all over the map today. An analysis of AI/ML applications deployed by the top 50 health systems across the United States identifies that AI-enabled solutions fall into multiple technology categories: machine learning, natural language processing (NLP), conversational interfaces such as chatbots, and robotic process automation (RPA). COVID-related use cases in clinical and administrative areas contributed to the growth in adoption of newer technologies such as chatbots in healthcare.
While technologies and the computing infrastructure for AI-enabled care have matured, the adoption of AI-enabled care is driven by the varying readiness levels for the incumbents in the current healthcare ecosystem and concerns around the safety of AI-enabled care, specifically for complex clinical conditions.
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