Editor's Note In this study, researchers developed service- and surgeon-specific statistical models using linear regression and machine learning to predict case-time duration at a large academic medical center. Results showed: The machine-learning algorithm had the highest predictive capability. The surgeon-specific was superior to the service-specific model, with higher accuracies and…

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Editor's Note The Department of Health and Human Services (HHS) announced on July 9 that it has formed a summit of key industry stakeholders and government leaders to provide insight as the Trump administration seeks to streamline, improve, and align measures used across federal healthcare quality programs. The Quality Summit,…

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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 In this study, a predictive model that can help identify patients at higher odds for not requiring a prolonged hospital length of stay (LOS) after total hip arthroplasty was developed and validated and a point-based calculator was designed. The calculator included nine variables: age, opioid use, metabolic equivalents…

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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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Editor's Note The Joint Commission on June 19 announced that the National Association for Healthcare Quality (NAHQ) has issued a new report−“Key Workforce Competencies for Quality-Driven Healthcare”− that focuses on creating a new framework for competencies needed by healthcare organizations to meet new goals for quality-driven healthcare. Among the competencies:…

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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 and Part 2 of the introduction to AI (May 2019 and June 2019) defined types of AI…

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“What we have right now, quite frankly, in healthcare are islands—visible islands of excellence in a sea of invisible failures, with risk lurking just below the waterline. We need to widen those islands of excellence. We need to connect these islands with more dry land. We need to address these…

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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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