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Dec 6, 2024 | 
international.la-croix.com | Christopher A. Longhurst
The failure of New Zealand’s Catholic bishops to be “accountable or transparent to their congregations and the broader community about the nature and extent of abuse,” as reported by the nation’s Abuse in Care Inquiry (Whanaketia 7, 8:698), reached an unprecedented level recently.
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Sep 19, 2024 | 
nber.org | Itzik Fadlon |Parag Agnihotri |Christopher A. Longhurst |Ming Tai-Seale
Skip to main content We thank Alanna Andrews, Victoria Harris, Jamie Kwak, Loc Le, Veronica Lowry, Samantha Madonis, Kevin Morris, Jeffery Mueller, Jeffrey Pan, Russell Shimada, Nathan Timmerman, and Eric Williamson at UC San Diego Health and the Center for Health Innovation for their continuous supportive efforts in providing information on the remote patient monitoring program and constructing the datasets used in this study.
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Sep 12, 2024 | 
mdpi.com | Nicole Hamilton Goldhaber |Karthik Ramesh |Lucy E. Horton |Christopher A. Longhurst
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Sep 4, 2024 | 
jamanetwork.com | Jessica E. Galarraga |Raj M. Ratwani |David C. Classen |Christopher A. Longhurst
Addressing AI Algorithmic Bias in Health Care As artificial intelligence (AI) algorithms become an increasingly integral part of health care, ranging from diagnostic decisions and treatment plans to population health management, it is vital that rigorous processes to mitigate algorithmic bias are established.1,2 Addressing bias is not only about ensuring fair and just opportunities for optimal health outcomes but also about promoting universal safeguards for patient safety.
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Aug 16, 2024 | 
international.la-croix.com | Christopher A. Longhurst
Based on the New Zealand Royal Commission of Inquiry into Abuse inCare’s final report, Catholic Church leaders have brought great shame on theNew Zealand Catholic Church. Their lack of accountability and transparency inresponding to pervasive abuse merits serious condemnation.
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Aug 12, 2024 | 
jamanetwork.com | Raj M. Ratwani |David C. Classen |Christopher A. Longhurst
As artificial intelligence (AI) tools become more consistently used in health care, federal agencies, health care facilities, medical societies, and other stakeholders are grappling with how to ensure they do not introduce unintended patient harm.
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Jun 27, 2024 | 
international.la-croix.com | Christopher A. Longhurst
Pope Francis recently called fortheology to develop in dialogue with “other scientific, philosophical,humanistic and artistic knowledge.” (Ad TheologiamPromovendam, 9)One of thebest examples of this transdisciplinary approach must be Michelangelo’s cosmicdesign in The Last Judgment, a fresco covering the entire altar wall ofthe Sistine Chapel in Vatican City. The LastJudgment is a key tenet of Christian doctrine and a defining theme in Western Christianart.
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Jun 11, 2024 | 
nature.com | Aaron Boussina |Supreeth P. Shashikumar |Robert Owens |Christopher A. Longhurst |Shamim Nemati
Correction to: npj Digital Medicine https://doi.org/10.1038/s41746-023-00986-6, published online 23 January 2024Table 3 and the citation in the text were missing in this article. The original article has been corrected.
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Apr 3, 2024 | 
digitalcommons.library.tmc.edu | David C. Classen |Christopher A. Longhurst |Eric Thomas
AbstractThis paper reviews the current state of patient safety and the application of artificial intelligence (AI) techniques to patient safety. This paper defines patient safety broadly, not just inpatient care but across the continuum of care, including diagnostic errors, misdiagnosis, adverse events, injuries, and measurement issues. It outlines the major current uses of AI in patient safety and the relative adoption of these techniques in hospitals and health systems.
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Jan 22, 2024 | 
nature.com | Aaron Boussina |Supreeth P. Shashikumar |Robert Owens |Christopher A. Longhurst |Shamim Nemati
AbstractSepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist with the early recognition of sepsis may improve outcomes, but relatively few studies have examined their impact on real-world patient outcomes. Our objective was to assess the impact of a deep-learning model (COMPOSER) for the early prediction of sepsis on patient outcomes.
