Artificial Intelligence in Healthcare

While artificial intelligence (AI) applications in healthcare hold much promise, they also present serious potential risks that must be considered and addressed prior to more widespread implementation.

The landscape of artificial intelligence (AI) and generative AI (genAI) in healthcare is highly dynamic, rapidly expanding and changing. The excitement over AI reflects its potential to improve healthcare in many ways, including helping healthcare providers save time on administrative tasks and supporting certain types of patient interactions.

While AI applications in healthcare hold much promise, they also present serious potential risks, challenges, and unintended consequences that must be considered and addressed. Health systems and healthcare professionals need to better understand the quality and safety implications of AI tools and how to responsibly harness these tools to facilitate both day-to-day and aspirational quality and safety in care delivery.

With the proliferation of AI and genAI applications in healthcare, it is necessary to examine how to appropriately integrate AI technologies into clinical workflows and healthcare operations with careful attention to the impact on patient care and safety, workforce safety and well-being, and the healthcare sector as a whole.

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