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Joint Commission retiring Leading Practice Library

Editor's Note The Joint Commission announced October 2 that it will be retiring the Leading Practice Library December 31, 2019. These customer-submitted resources that were developed in 2008 to assist organizations in complying with complex standards have become outdated. Newer and higher quality resources are available on the Joint Commission…

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By: Judy Mathias
October 3, 2019
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Study: Changes in new nurses’ competencies over 1 year in a nurse residency program

Editor's Note In this study, competency ratings increased significantly from 1 to 5 months and from 5 to 11 months in a nurse residency program. Preceptors, nurse educators, and/or unit managers rated new nurse residents using The Appraisal of Nursing Practice, an observational rating based on Quality and Safety in…

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By: Judy Mathias
October 2, 2019
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CMS: New round of readmission penalties affects 2,583 hospitals

Editor's Note Data from the Affordable Care Act’s Hospital Readmissions Reduction Program (HRRP) shows that Medicare cut payments to 2,583 hospitals on October 1 because of the number of patients readmitted within a month, the October 1 Kaiser Health News reports. The Centers for Medicare & Medicaid Services (CMS) estimates…

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By: Judy Mathias
October 2, 2019
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Work values of Gen Z nurses

Editor's Note Helping people, having a job that is interesting and engaging, good benefits, and job security are the most important Generation (Gen) Z nurse work values found in this study. A survey that assessed the work values of baccalaureate Gen Z nursing students found that their top four most…

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By: Judy Mathias
October 1, 2019
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CMS releases final rule on discharge planning

Editor's Note The Centers for Medicare & Medicaid Services (CMS) on September 26 released a final rule that revises discharge planning requirements for hospitals, the September 26 Becker’s Clinical Leadership & Infection Control reports. Among the requirements: Hospitals must prioritize patients’ care goals and treatment preferences during discharge planning. Hospitals…

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By: Judy Mathias
October 1, 2019
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AI detects key findings in chest x-rays of pneumonia patients within 10 seconds

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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By: Judy Mathias
September 30, 2019
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AI predicts radiation therapy side effects for head and neck cancer patients

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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By: Judy Mathias
September 30, 2019
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Needlestick events and reporting among surgical residents

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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By: Judy Mathias
September 26, 2019
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EPA will require sterilization companies to provide data on EO emissions

Editor's Note Medtech sterilization companies were asked by the Environmental Protection Agency (EPA) to provide data that will help the agency craft new regulation of ethylene oxide emissions, the September 25 Medical Design & Outsourcing reports. The data will include specific sterilization facility characteristics, control devices, work practices, and costs…

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By: Judy Mathias
September 26, 2019
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Using AI to improve OR efficiency

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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By: Judy Mathias
September 26, 2019
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