Health systems are increasingly prioritizing the development of artificial intelligence (AI) oversight efforts as they continue to navigate the potential promise and pitfalls of these tools in healthcare, according to a report published today and shared with HealthITAnalytics by the Center for Connected Medicine (CCM) at the University of Pittsburgh Medical Center (UPMC). [Health IT Analytics]

The report, “How Health Systems are Navigating the Complexities of AI,” surveyed executives from almost three dozen health systems on their approaches to overseeing the technology.

As AI rapidly advances, healthcare organizations continue to investigate how these tools can help automate administrative tasks and reduce clinical documentation burdens, among other use cases. However, this increased interest and swift development makes the pros and cons of AI in healthcare challenging to balance, as stakeholders have raised a plethora of concerns around data privacy, clinician over-reliance, patient trust, and more.

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