Publications by authors named "Yuri Millo"

Pregnancies impacted by diabetes face the compounded challenge of strict glycemic control with mounting insulin resistance as the pregnancy progresses. New technological advances, including artificial intelligence (AI) and the Internet of Medical Things (IoMT), are revolutionizing health care delivery by providing innovative solutions for diabetes care during pregnancy. Together, AI and the IoMT are a multibillion-dollar industry that integrates advanced medical devices and sensors into a connected network that enables continuous monitoring of glucose levels.

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Simulation- and video game-based role-playing techniques have been proven effective in changing behavior and enhancing positive decision making in a variety of professional settings, including education, the military, and health care. Although the need for developing assessment frameworks for learning outcomes has been clearly defined, there is a significant gap between the variety of existing multimedia-based instruction and technology-mediated learning systems and the number of reliable assessment algorithms. This study, based on a mixed methodology research design, aims to develop an embedded assessment algorithm, a Knowledge Assessment Module (NOTE), to capture both user interaction with the educational tool and knowledge gained from the training.

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Objectives: The objectives of the study were to develop and evaluate an "all-hazards" hospital disaster preparedness training course that utilizes a combination of classroom lectures, skills sessions, tabletop sessions, and disaster exercises to teach the principles of hospital disaster preparedness to hospital-based employees.

Methods: Participants attended a two-day, 16-hour course, entitled Hospital Disaster Life Support (HDLS). The course was designed to address seven core competencies of disaster training for healthcare workers.

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