Editor's Note Preliminary experience in the automated detection and classification of fractures using artificial intelligence (AI) shows promise, and AI may enhance processing and communicating probabilistic tasks in orthopedic surgery, this study finds. For fracture detection, researchers compared the human findings in 10 studies with AI findings. In two studies,…

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Editor's Note Retooling paper-based measures to electronic format for reporting performance measures can help reduce hospitals’ reporting burden. However, in this study by Joint Commission and State University of New York researchers, a simplified risk model using electronic health record (EHR) elements could not capture most risk factors in the…

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Editor's Note At a precision medicine conference in Boston on June 18, Harvard Law School professor Jonathan Zittrain likened the use of artificial intelligence (AI) in healthcare to asbestos, saying: “it’s all over the place, even though at no point did you explicitly install it, and it has possibly some…

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Blood loss during labor and delivery (L&D) and surgical procedures can lead to serious complications that might be prevented with early detection; however, detection can be challenging. For example, clinicians have traditionally estimated blood loss visually—a subjective and often inaccurate process. Humans’ eyes simply aren’t good at making precise measurements,…

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OR leaders spend much of their day ensuring the surgery schedule runs smoothly, a task that depends on the teams within each of the ORs. Highly functioning teams produce optimal results, including good patient outcomes, satisfied surgeons, and efficient use of resources. But developing a highly functional team with good…

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Editor's Note Physician-to-physician variation in electronic health record (EHR) documentation could result in patient harm and clinical inefficiencies, this study finds. The study by University of Michigan researchers included EHR data from 170,332 encounters led by 809 physicians in 237 practices and interviews with 40 physicians in 10 practices. The…

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Editor's Note A new report from the National Institutes of Health, Radiological Society of North America, American College of Radiology, and The Academy, provides a roadmap for translational research on artificial intelligence (AI) in medical imaging. The report summarizes key priorities: creating structured AI use cases that define and highlight…

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As part of a special series on artificial intelligence (AI), OR Manager is taking a deep dive into the many facets of this new technology and its impact on patient care. Part 1 of this introduction to the series (OR Manager, May 2019, 1, 7-11) defined several different types of…

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Artificial intelligence (AI) may be coming to your OR sooner than you think. AI is already being used to identify areas needing quality improvement by analyzing surgical workflow, communication patterns, and errors that went unnoticed during a procedure. OR leaders need to understand AI and participate in its development and…

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Artificial intelligence (AI) seems to pop up in headlines nearly every day. With applications ranging from individual nutritional guidance to prediction of premature death, ever-evolving computer-based algorithms present intriguing possibilities for the future of healthcare. Depending on how proactive your facility is and how rich in resources, you may already…

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