Tag: Data analytics

Study: Mortality prediction models fail to recognize severe patient injuries

Editor's Note Machine learning (ML) models designed to predict patient mortality are falling short when it comes to identifying severe injuries that could lead to death, according to a March 27 report in TechTarget. The article focuses on research published in Nature Communications Medicine found that ML mortality prediction models…

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By: Matt Danford
April 7, 2025
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Survey: AI reduces administrative burden, improves physician outlook

Editor's Note Physicians are feeling more optimistic about their profession and are beginning to see tangible benefits from AI in reducing administrative tasks, according to the latest Physician Sentiment Survey (PSS) from athenahealth. Physicians’ day-to-day outlook has improved in recent years despite ongoing concerns about US healthcare, the organization reported…

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By: Matt Danford
April 4, 2025
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Renewed push for healthcare price transparency faces familiar challenges

Editor's Note Although a recent executive order from President Donald Trump aims to make hospitals and insurers reveal negotiated prices, data inconsistencies and a lack of consumer usability continue to hinder progress, according to a March 31 article from NPR. As detailed in the report, the executive order builds on…

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By: Matt Danford
March 31, 2025
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Unplanned hospital admissions post ASC visits remain exceptionally low, study finds

Editor's Note A large-scale study of over 50,000 ambulatory surgery center (ASC) procedures shows a strikingly low rate of 24-hour unplanned postoperative hospital admissions, offering a benchmark that other ASCs can strive to match, General Surgery News March 26 reports. Over a 7-year period from 2016 to 2022, researchers at…

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By: Tarsilla Moura
March 26, 2025
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Study: Stronger sense of mission reduces burnout, turnover risk among perioperative nurses

Editor's Note Perioperative nurses who feel a stronger sense of professional mission are less likely to experience burnout and less likely to want to leave their jobs, according to a large cross-sectional study published on March 21 by BMC Psychology. The study identifies professional mission as a key psychological resource…

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By: Matt Danford
March 24, 2025
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AI reshapes healthcare leadership

Editor's Note Chief data officer (CDO) is a fast-growing C-suite role across the economy, with the notable exception of healthcare. The reasons why might be surprising: these roles have already been filled. Rather than growing, they are evolving. That’s the primary message of a March 4 report in Becker’s Hospital…

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By: Matt Danford
March 19, 2025
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The Joint Commission launches UNIFY 2025 to advance patient safety, healthcare quality

Editor's Note The Joint Commission has announced UNIFY 2025: Convening for Quality, a national event set for September 16-17, 2025, in Washington, DC. The two-day gathering will bring together healthcare leaders and policymakers to address critical challenges in patient safety and healthcare quality. According to the announcement, the event will…

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By: Matt Danford
March 19, 2025
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US News & World Report releases results of second annual ‘Best ASCs’ ratings

Editor’s Note US News & World Report announced on March 18 its 2025 Best Ambulatory Surgery Centers (ASCs) ratings after evaluating 4,357 ASCs across four key specialty areas—Colonoscopy & Endoscopy, Ophthalmology, Orthopedics & Spine, and Urology. This marks the second annual edition of the publication’s effort to help consumers make…

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By: Tarsilla Moura
March 19, 2025
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Study: Predictive model improves nosocomial infection risk assessment after colon cancer surgery

Editor's Note A newly developed predictive model offers healthcare professionals a dynamic tool to assess the risk of nosocomial infections (NIs) in patients following colon cancer surgery, potentially improving early intervention strategies. Published February 27 in Frontiers in Oncology, the study introduces a nomogram—a statistical model that visualizes key risk…

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By: Matt Danford
March 10, 2025
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Study: Machine learning improves OR efficiency, but challenges remain

Editor's Note Machine learning (ML) is enhancing OR efficiency by optimizing scheduling, predicting surgical durations, and reducing delays, according to a systematic review published February 21 in Cureus. However, privacy concerns, data access limitations, and the need for further validation remain barriers to widespread implementation. The review analyzed 21 studies…

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By: Matt Danford
March 7, 2025
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