Publications by authors named "Hom J"

Reduced function or hypomorphic variants in recombination-activating genes (RAG) 1 or 2 result in a broad clinical phenotype including common variable immunodeficiency (CVID) and even adult-onset disease. Milder RAG variants are less characterized. Here we describe the longitudinal course of a milder combined RAG deficiency in 3 of 7 siblings sharing the same RAG2 mutations over a 50-year study.

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Objective: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare applications such as synthesizing BHCs from clinical notes have not been shown. We introduce a novel preprocessed dataset, the MIMIC-IV-BHC, encapsulating clinical note and BHC pairs to adapt LLMs for BHC synthesis.

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Objective: To identify risk factors for clinically-important drowning-associated lung injury (ciDALI) in children.

Study Design: This was a cross-sectional study of children (0 through 18 years) who presented to 32 pediatric emergency departments (EDs) from 2010 through 2017. We reviewed demographics, comorbidities, prehospital data, chest radiographs reports, and ED course from emergency medical services, medical, and fatality records.

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Severe acute respiratory syndrome coronavirus 2 mRNA vaccination has reduced effectiveness in certain immunocompromised individuals. However, the cellular mechanisms underlying these defects, as well as the contribution of disease-induced cellular abnormalities, remain largely unexplored. In this study, we conducted a comprehensive serological and cellular analysis of patients with autoimmune systemic lupus erythematosus (SLE) who received the Wuhan-Hu-1 monovalent mRNA coronavirus disease 2019 vaccine.

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Importance: Large language models (LLMs) have shown promise in their performance on both multiple-choice and open-ended medical reasoning examinations, but it remains unknown whether the use of such tools improves physician diagnostic reasoning.

Objective: To assess the effect of an LLM on physicians' diagnostic reasoning compared with conventional resources.

Design, Setting, And Participants: A single-blind randomized clinical trial was conducted from November 29 to December 29, 2023.

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Importance: Large language model (LLM) artificial intelligence (AI) systems have shown promise in diagnostic reasoning, but their utility in management reasoning with no clear right answers is unknown.

Objective: To determine whether LLM assistance improves physician performance on open-ended management reasoning tasks compared to conventional resources.

Design: Prospective, randomized controlled trial conducted from 30 November 2023 to 21 April 2024.

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Of the approximately 25 directly imaged planets to date, all are younger than 500 Myr, and all but six are younger than 100 Myr (ref. ). Eps Ind A (HD209100, HIP108870) is a K5V star of roughly solar age (recently derived as 3.

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Article Synopsis
  • - Over 85 million CT scans are done annually in the US, with a significant portion focused on the abdomen, highlighting a need for efficient interpretation methods due to a shortage of radiologists.
  • - To address this, researchers introduced Merlin, a 3D Vision Language Model (VLM) that uses both electronic health records and radiology reports for training without the need for manual annotations, utilizing a vast clinical dataset of millions of images and codes.
  • - Merlin was evaluated on various tasks, including chronic disease prediction and report generation, showing better performance than current methods, demonstrating its potential to support radiologists in their work.
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Fentanyl-mixed and substituted heroin is well-documented, but less is known about unintentional fentanyl use among people using stimulants. To determine the prevalence of and racial and ethnic disparities in unintentional fentanyl use among people experiencing a medically attended opioid overdose, we reviewed 448 suspected non-fatal overdose cases attended by a community paramedic overdose response team in San Francisco from June to September 2022. We applied a case definition for opioid overdose to paramedic records and abstracted data on intended substance use prior to overdose.

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Article Synopsis
  • * Conducted across multiple medical institutions, the research involved 50 resident and attending physicians working on clinical vignettes, with some using GPT-4 and others using only conventional resources.
  • * Results showed a slight improvement in diagnostic scores for the GPT-4 group (76.3%) versus those using conventional resources (73.7%), but the difference was not statistically significant.
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Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by multiple autoantibody types, some of which are produced by long-lived plasma cells (LLPC). Active SLE generates increased circulating antibody-secreting cells (ASC). Here, we examine the phenotypic, molecular, structural, and functional features of ASC in SLE.

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Article Synopsis
  • Analyzing large amounts of textual data from electronic health records can overwhelm clinicians, affecting their time management.
  • This study tested eight large language models (LLMs) on various clinical summarization tasks, finding that their adapted versions performed comparably or better than expert medical summaries in many cases.
  • The research indicates that integrating LLMs into clinical processes might reduce documentation workload, helping doctors dedicate more time to patient care.
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Background: The increasing linguistic and cultural diversity in the United States underscores the necessity of enhancing healthcare professionals' cross-cultural communication skills. This study focuses on incorporating interpreter and limited-English proficiency (LEP) patient training into the medical and physician assistant student curriculum. This aims to improve equitable care provision, addressing the vulnerability of LEP patients to healthcare disparities, including errors and reduced access.

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Background: We identified that Stanford Health Care had a significant number of patients who after discharge are found by the utilization review committee not to meet Center for Mediare and Medicaid Services (CMS) 2-midnight benchmark for inpatient status. Some of the charges incurred during the care of these patients are written-off and known as Medicare 1-day write-offs. This study which aims to evaluate the use of a Best Practice Alert (BPA) feature on the electronic medical record, EPIC, to ensure appropriate designation of a patient's hospitalization status as either inpatient or outpatient in accordance with Center for Medicare and Medicaid services (CMS) 2 midnight length of stay benchmark thereby reducing the number of associated write-offs.

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Article Synopsis
  • Large language models (LLMs) show potential in summarizing electronic health records (EHR), but their effectiveness in clinical tasks needed further exploration.
  • The study evaluated eight LLMs across various clinical summary tasks and found that the best-adapted models often produced superior summaries compared to human-generated ones.
  • Results suggest that using LLMs in clinical settings could reduce the time clinicians spend on documentation, allowing them to focus more on direct patient care.
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Background: Hypertrophic pyloric stenosis is a common cause of nonbilious vomiting in infants younger than 6 months. Its history, physical examination, and point-of-care ultrasound (POCUS) have not been compared for their diagnostic test accuracy.

Objective: The aim of this systematic review was to quantify and compare the diagnostic test accuracy of a history of vomiting, a pyloric mass on palpation, and POCUS.

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Systemic Lupus Erythematosus (SLE) is an autoimmune disease characterized by multiple autoantibodies, some of which are present in high titers in a sustained, B cell-independent fashion consistent with their generation from long-lived plasma cells (LLPC). Active SLE displays high numbers of circulating antibody-secreting cells (ASC). Understanding the mechanisms of generation and survival of SLE ASC would contribute important insight into disease pathogenesis and novel targeted therapies.

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Background: Prescription opioids remain an important contributor to the United States opioid crisis and to the development of opioid use disorder for opioid-naïve individuals. Recent legislative actions, such as the implementation of state prescription drug monitoring programs (PDMPs), aim to reduce opioid morbidity and mortality through enhanced tracking and reporting of prescription data. The primary objective of our study was to describe the opioid prescribing trends in the state of Pennsylvania (PA) as recorded by the PA PDMP following legislative changes in reporting guidelines, and discuss the PDMP's role in a multifactorial approach to opioid harm reduction.

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Importance: Studies show that ChatGPT, a general purpose large language model chatbot, could pass the multiple-choice US Medical Licensing Exams, but the model's performance on open-ended clinical reasoning is unknown.

Objective: To determine if ChatGPT is capable of consistently meeting the passing threshold on free-response, case-based clinical reasoning assessments.

Design: Fourteen multi-part cases were selected from clinical reasoning exams administered to pre-clerkship medical students between 2019 and 2022.

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Immunoglobulin (Ig) E is central to the pathogenesis of allergic conditions, including allergic fungal rhinosinusitis. However, little is known about IgE antibody secreting cells (ASCs). We performed single-cell RNA sequencing from cluster of differentiation (CD)19 and CD19 ASCs of nasal polyps from patients with allergic fungal rhinosinusitis (n = 3).

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Background: Patients with opioid use disorder (OUD) have high hospital admission rates. Hospitalists, clinicians that work in inpatient medical settings, may have a unique opportunity to intervene on behalf of these patients, yet their experience with and attitudes towards treating patients with OUD need further exploration.

Methods: We conducted qualitative analysis of 22 semi-structured interviews with hospitalists between January and April 2021 in Philadelphia, PA.

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Article Synopsis
  • Methadone, a Schedule II opioid, has seen a decline in its use for chronic pain management in Pennsylvania due to concerns over its role in opioid overdose deaths, with doctors now required to report such prescriptions to the state's prescription drug monitoring program (PDMP).
  • Between August 2016 and March 2020, data from the PA PDMP revealed a total of 341,949 methadone prescriptions for pain, showing a significant 38.7% decrease in prescriptions.
  • Despite the decline, methadone is still issued for pain management, especially in certain counties, indicating the need for further research into prescribing practices and potential harm reduction strategies.
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