Tag: Patient Safety

Joint Commission: Quick Safety addresses drug diversion

Editor's Note The Joint Commission announced on April 17 that the April issue of Quick Safety focuses on drug diversion and examines patterns and trends that could indicate drug diversion. It also offers safety actions organizations can take and describes how to take the mistakes other hospitals have made and…

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By: Judy Mathias
April 18, 2019
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AI detects prostate cancer as well as experienced radiologists

Editor's Note A new artificial intelligence (AI) system developed by researchers at the UCLA David Geffen School of Medicine improved the ability to diagnose prostate cancer in this study. The system, called “FocalNet,” helps identify and predict the aggressiveness of the disease by evaluating MRI scans. Results showed that FocalNet…

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By: Judy Mathias
April 17, 2019
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FDA issues statement on trach tube shortages

Editor's Note The Food & Drug Administration on April 12 issued a statement about the agency’s efforts to mitigate the shortage of Smiths Medical’s Bivona tracheostomy tubes, especially the pediatric tubes. The shortage is a result of the closure of a large ethylene oxide sterilization facility in Willowbrook, Illinois, and there…

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By: Judy Mathias
April 17, 2019
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Study: Findings describe nurse manager role preparation, competency

Editor's Note Nurse executives need to evaluate the strength of their nursing leadership talent pool and develop policies and strategies that promote nurse manager competence, this study finds. A survey of 647 nurse managers, who manage 964 patient care units in 54 hospitals found the following: They rated themselves as…

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By: Judy Mathias
April 16, 2019
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FDA: Class I recall of Brainlab Spine & Trauma 3D Navigation Software

Editor's Note The Food & Drug Administration (FDA) on April 15 identified the recall of Brainlab's Spine & Trauma 3D Navigation Software as Class I, the most serious. The Software is being recalled because of the potential for incorrect information to display during surgery, which may prevent the surgeon from…

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By: Judy Mathias
April 16, 2019
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New care pathway reduces delirium, readmissions for frail elderly trauma patients

Editor's Note A new interdisciplinary care protocol for frail elderly trauma patients significantly decreased delirium and 30-day readmission risk in this study. Researchers at Brigham and Women’s Hospital, Boston, compared the care of 125 patients who were treated before the pathway was implemented with 144 patients after the pathway was…

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By: Judy Mathias
April 11, 2019
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Using machine learning for preop prediction of postop mortality, ICU admission

Editor's Note Machine learning can be used to improve surgical risk prediction compared to traditional risk calculators, this study from Singapore finds. The traditional Combined Assessment of Risk Encountered in Surgery and the American Society of Anesthesiologists Physical Status models were compared with machine learning models in the prediction of…

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By: Judy Mathias
April 11, 2019
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FDA to require label changes on how to safely decrease opioids in physically dependent patients

Editor's Note The Food & Drug Administration (FDA) on April 9 issued a Drug Safety Announcement saying it has received reports of serious harm in patients who are physically dependent on opioid pain medications and suddenly have them discontinued or rapidly decreased. Because of these reports, the FDA is requiring…

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By: Judy Mathias
April 11, 2019
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Hospital safety culture linked to surgical patient outcomes

Editor's Note A hospital’s safety culture may influence certain surgical patient outcomes, finds this study. A Safety Attitudes Questionnaire (SAQ), sent to administrators, quality improvement teams, nurses, anesthesiologists, and surgeons in 49 hospitals participating in the Illinois Surgical Quality Improvement Collaborative, found that OR safety culture had the highest scores…

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By: Judy Mathias
April 3, 2019
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FDA issues statement on review framework for AI-based devices

Editor's Note The Food & Drug Administration (FDA) on April 2 issued a statement announcing steps toward a new, tailored review framework for artificial intelligence (AI)-based medical devices. AI and machine learning have the potential to transform the delivery of healthcare, with earlier disease detection, more accurate diagnoses, more targeted…

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By: Judy Mathias
April 3, 2019
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