Abstract
The prevalence of artificial intelligence (AI) is rapidly growing across industries including in health care. AI has the potential to improve patient safety (e.g., diagnostic error) and reduce clinician workload (e.g., documentation burden) and healthcare costs. Yet, many questions remain about how clinicians will interact with and use AI to support their work and how these technologies will impact clinician workflow, decision-making, and teamwork. It is also uncertain how patients will interact with AI, with a recent report suggesting 60 percent of US adults are uncomfortable with their health care providers using AI. In this panel, we will discuss AI applications across differing health care contexts and describe how AI influences clinician (and patient) workflows. We will outline considerations for the design and implementation of AI-based technologies in health care and needed areas of future research.
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