Publications by authors named "S Makhni"

Article Synopsis
  • Hypertension is a major risk factor for serious health conditions, and there’s potential for artificial intelligence (AI) to improve how it's diagnosed and managed.* -
  • AI technologies, particularly machine learning, could personalize treatment and enhance blood pressure monitoring, but effective collaboration among health professionals and data scientists is crucial.* -
  • A workshop by the National Heart, Lung, and Blood Institute highlighted communication gaps in healthcare, innovative methods for managing hypertension, and challenges to implementing AI in real-world settings.*
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Background/objective: Non-clinical aspects of life, such as social, environmental, behavioral, psychological, and economic factors, what we call the sociome, play significant roles in shaping patient health and health outcomes. This paper introduces the Sociome Data Commons (SDC), a new research platform that enables large-scale data analysis for investigating such factors.

Methods: This platform focuses on "hyper-local" data, i.

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Background: Educating medical trainees to practice high value care is a critical component to improving quality of care and should be introduced at the beginning of medical education.

Aim: To create a successful educational model that provides medical students and junior faculty with experiential learning in quality improvement and mentorship opportunities, and produce effective quality initiatives.

Setting: A tertiary medical center affiliated with a medical school in New York City.

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