Publications by authors named "P J Embi"

Introduction: The rapid advancement of artificial intelligence (AI) has led to significant transformations in health and healthcare. As AI technologies continue to evolve, there is an urgent need to establish a unified framework that guides the design, implementation, and evaluation of AI-driven interventions across individual and population health contexts.

Approach: In response to this need, the National Academy of Medicine (NAM) has initiated the development of an AI code of conduct (AICC) through its Digital Health Action Collaborative.

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Objectives: There is rapidly growing interest in learning health systems (LHSs) nationally and globally. While the critical role of informatics is recognized, the informatics community has been relatively slow to formalize LHS as a priority area.

Materials And Methods: We compiled results from a short survey of LHS leaders and American Medical Informatics Association (AMIA) members, discussion from an LHS reception at the AMIA annual meeting, and a follow-up survey to inform priorities at the intersection of LHS and informatics.

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Article Synopsis
  • Pregnant individuals are at a higher risk for severe COVID-19, leading to current guidelines recommending updated vaccinations for everyone aged 6 months and older, regardless of pregnancy status.
  • A study evaluated COVID-19 vaccine effectiveness among pregnant people aged 18 to 45 from June 2022 to August 2023, finding that vaccine effectiveness during pregnancy was 52%, compared to 28% when vaccination was received less than 6 months before pregnancy and only 6% when received more than 6 months prior.
  • The findings suggest that pregnant individuals should remain up-to-date with recommended COVID-19 vaccinations for better protection against the virus.
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Background: Recent advancements of large language models (LLMs) like Generative Pre-trained Transformer 4 (GPT-4) have generated significant interest among the scientific community. Yet, the potential of these models to be utilized in clinical settings remains largely unexplored. This study investigated the abilities of multiple LLMs and traditional machine learning models to analyze emergency department (ED) reports and determine if the corresponding visits were caused by symptomatic kidney stones.

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Article Synopsis
  • The 2022-2023 influenza season in the U.S. experienced high hospitalization rates and early influenza activity, primarily driven by A(H3N2) viruses, with some A(H1N1)pdm09 cases.
  • A study using the test-negative design assessed the effectiveness of the influenza vaccine by comparing cases of influenza-positive patients to those who tested negative among adults with respiratory illness from October 2022 to March 2023.
  • The results showed moderate vaccine effectiveness of 44% for emergency department visits and 35% for hospitalizations, indicating that vaccination helps reduce the impact of influenza during a challenging season with other circulating respiratory viruses.
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