Editor's Note Researchers from Intermountain Healthcare and Stanford University say 10 seconds is how long it takes for their new model, which uses artificial intelligence (AI), to accurately identify key findings in chest x-rays of patients in the emergency department suspected of having pneumonia. The researchers presented the findings of…

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Editor's Note A computer model, which for the first time accurately predicted two of the most challenging side effects of radiation therapy for head and neck cancer patients, was presented September 26 at the Annual Meeting of the American Society for Radiation Oncology in Chicago. Researchers from the University of…

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Editor's Note This national survey of surgical residents found that needlesticks occur frequently, many events are not reported, and numerous reporting barriers exist. Of 7,395 respondents from all 260 general surgery residency programs, 27.7% noted experiencing a needlestick in the last 6 months. Most events occurred in the OR (77.5%)…

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Editor's Note In this study, a machine learning algorithm resulted in the most accurate estimation of operative case-time duration. Researcher developed models to predict case-time duration using linear regression and supervised machine learning. Each model included an all-inclusive model, service-specific models, and surgeon-specific models. The data set used included 46,986…

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Editor's Note When deep learning algorithms were compared with health-care professionals in classifying diseases using medical imaging, diagnostic performance was equivalent between the two. In this meta-analysis of 14 studies, researchers found that deep learning systems correctly detected a disease state 87% of the time, compared with 86.4% for healthcare…

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Editor's Note In a proposed rule, the Centers for Medicare & Medicaid Services (CMS) is considering whether to reimburse for percutaneous coronary interventions (PCIs) at ambulatory surgical centers (ASCs), the September 20 tctMD reports. As of May 1, 2019, approximately 22 states allowed for coronary interventions to be done outside…

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Editor's Note This study found that surgical site infections (SSIs) occurred most commonly after total joint replacement revision procedures and were related to many patient comorbidities, which were significantly associated with a higher risk of SSIs. In this analysis of 335,134 total knee replacements (TKRs) and 163,547 total hip replacements…

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Editor's Note The Joint Commission announced on September 18 that the deadline for submitting applications for the John M. Eisenberg Patient Safety and Quality Awards is October 1. Started by the Joint Commission and the National Quality Forum (NQF) in 2002, the awards recognize the outstanding work of individuals and…

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Enhanced Recovery After Surgery (ERAS®) is a comprehensive, multifaceted, and multidisciplinary approach to the care of the surgical patient. ERAS bundles evidence-based elements to facilitate a faster recovery with fewer complications.1 Spanning the continuum of perioperative care, ERAS elements include: • patient engagement and education • preoperative optimization of nutrition…

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A patient’s condition can change in the blink of an eye. Are you prepared to respond? And what happens if the patient dies? This is the focus of an annual seminar at Houston Methodist Hospital that was developed to increase the comfort level of perioperative nurses caring for a patient…

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