Tag: Performance Improvement

AI outperforms clinicians’ judgment in triaging postop patients to ICU

Editor's Note Artificial intelligence (AI) in the form of a machine-learned algorithm correctly triaged the vast majority of postoperative patients to the ICU, in this pilot study presented October 29 at the American College of Surgeons Clinical Congress 2019 in San Francisco. The algorithm included 87 clinical variables and 15…

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By: Judy Mathias
October 30, 2019
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Can machine learning predict 6-month mortality in cancer patients?

Editor's Note In this study, machine learning algorithms accurately identified cancer patients who were at risk of 6-month mortality. Of 26,525 cancer patients analyzed, machine learning models based on structured electronic health record data accurately predicted short-term mortality risk with good discrimination and positive predictive value. When the gradient boosting…

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By: Judy Mathias
October 28, 2019
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Mayo Clinic Care Network reduces hospital stays with ERPs

Editor's Note An Enhanced Recovery Pathway (ERP) created by the Mayo Clinic’s colorectal surgery service a decade ago has now been adopted by other surgical services in seven medical centers that are members of the Mayo Clinic Care Network, the October 15 Harvard Business Review reports. The ability of each…

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By: Judy Mathias
October 24, 2019
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Laminated posters, badge buddies on NPSGs available from Joint Commission

Editor's Note The Joint Commission announced on October 23 that laminated posters and badge buddies on the 2020 National Patient Safety Goals (NPSGs) for hospitals are now available for purchase. Areas covered by the NPSGs include: Patient identification Infection prevention Patient safety risks Safe surgery. The posters and badge buddies…

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By: Judy Mathias
October 24, 2019
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Joint Commission launches new Dashboard Report for ASCs

Editor's Note The Joint Commission on October 23 announced that a new Dashboard Report is now available for accredited ambulatory surgery centers (ASCs). The report provides performance measurement data on select measures and is intended to facilitate conversations on data, performance measures, and quality improvement during the survey process. Using…

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By: Judy Mathias
October 24, 2019
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ECRI Institute: Diagnostic testing, medication events pose biggest safety risks to ambulatory care patients

Editor's Note New research from the ECRI Institute finds that diagnostic tests and medication events are the most frequent safety risks patients face in ambulatory care. ECRI Institute’s “Deep Dive: Safe Ambulatory Care, Strategies for Patient Safety & Risk Reduction” identifies solutions for five types of safety challenges in ambulatory…

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By: Judy Mathias
October 23, 2019
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Patients feel less pain when healthcare provider is nice

Editor's Note Patients having blood drawn by courteous healthcare providers were significantly more likely to say their pain was well-controlled, finds this study presented October 20 at the Anesthesiology 2019 annual meeting in Orlando, Florida. Analyzing responses from 4,740 adult patients on questions about pain control (range from 1 to…

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By: Judy Mathias
October 22, 2019
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CDC updates 1998 guideline for infection control in the healthcare workplace

Editor's Note The Centers for Disease Control and Prevention on October 18 released an update to its “Guideline for infection control in healthcare personnel, 1998.” The updated document, “Infection Control in Healthcare Personnel: Infrastructure and Routine Practices for Occupational Infection Prevention and Control Services (2019),” applies to a broader range…

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By: Judy Mathias
October 22, 2019
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Medical marijuana research shows early promise for lessening opioid use

Editor's Note Medical marijuana shows early promise for lessening opioid use and potential abuse in a meta-analysis presented October 20 at the Anesthesiology 2019 annual meeting in Orlando, Florida. Overall the results suggest that medical marijuana may provide some benefits such as, decreased opioid overdose rates, decreased opioid use, improved…

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By: Judy Mathias
October 21, 2019
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Radiologist, AI combination improves breast cancer detection

Editor's Note An artificial intelligence (AI) model was able to detect breast cancer with nearly 90% accuracy when combined with analysis from radiologists, the October 18 Health IT Analytics reports. Researchers from New York University Schools of Medicine and Data Science developed the model to first consider small patches of…

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By: Judy Mathias
October 21, 2019
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