Journal articleJ Am Med Inform Assoc · May 1, 2026
OBJECTIVE: This study aims to compare the effectiveness of 2 ambient AI scribe technologies in reducing physician burnout, improving workflow satisfaction, and enhancing documentation efficiency through a randomized crossover trial. MATERIALS AND METHODS: ...
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Journal articleNPJ Digit Med · June 13, 2025
Ambient digital scribing (ADS) tools alleviate clinician documentation burden, reducing burnout and enhancing efficiency. As AI-driven ADS tools integrate into clinical workflows, robust governance is essential for ethical and secure deployment. This study ...
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Journal articleJ Am Med Inform Assoc · April 1, 2025
OBJECTIVES: Large language models (LLMs) are increasingly utilized in healthcare, transforming medical practice through advanced language processing capabilities. However, the evaluation of LLMs predominantly relies on human qualitative assessment, which i ...
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Journal articleJAMA Netw Open · March 3, 2025
IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to physician burnout and dissatisfaction, prompting uptake of artificial intelligence (AI) to alleviate this burden. It is important to understand patient pre ...
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Journal articleAm J Crit Care · November 1, 2024
BACKGROUND: Various social determinants of health have been established as significant risk factors for COVID-19 transmission, prevalence, incidence, and mortality. Area deprivation index (ADI, a composite score made up of educational, housing, and poverty ...
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Journal articleCurr Med Res Opin · October 2024
BACKGROUND: Central Line Associated Blood Stream Infections (CLABSI) are significant complications for hospitalized patients. Several different approaches have been used to reduce CLABSI. OBJECTIVE: This study aimed to (1) describe a systematic approach us ...
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Journal articleCrit Care Clin · October 2024
This narrative review focuses on the role of clinical prediction models in supporting informed decision-making in critical care, emphasizing their 2 forms: traditional scores and artificial intelligence (AI)-based models. Acknowledging the potential for bo ...
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Journal articleChest · May 2023
Value-based care aims to improve the health outcomes of patients, eliminate waste and unwarranted clinical variation, and reduce the total cost of care. Professional medical societies have put forward guidelines to raise awareness on unproven practice patt ...
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Journal articleFront Physiol · 2021
Analysis of pulmonary function tests (PFTs) is an area where machine learning (ML) may benefit clinicians, researchers, and the patients. PFT measures spirometry, lung volumes, and carbon monoxide diffusion capacity of the lung (DLCO). The results are usua ...
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Journal articleLung · August 2019
RATIONALE: Activity levels in patients with pulmonary arterial hypertension (PAH) have correlated with surrogate markers of disease severity. It is not known whether physical activity measures are useful in monitoring patients with PAH. OBJECTIVES: This pi ...
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