Background: The mHealth App was believed as an effective method to support family caregivers to better care for stroke patients. This study aimed to explore the status and the influencing factors of mHealth App…
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This systematic review synthesized 61 dynamically tailored eHealth interventions for chronic disease management from 117 papers. Tailoring strategies varied in scope and complexity, with most targeting physical activity (87%) and nutrition (43%), while nearly…
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Many companies promoting AI-driven medical scribe products boast that the physician doesn't have to change their behavior in order to use the product. In contrast, Skriber trains the physician how to use it well,…
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Leslie Vasquez, Federal Value-Based Care Lead at Accenture Federal Services
Implementing a new VBC program in healthcare requires cross-functional support and overcoming numerous challenges. Simplification opportunities exist to address pain points for program administrators such…
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Background: Missing data are inevitable in mobile health (mHealth) and ubiquitous health (uHealth) research and are often driven by distinct within- and between-person factors that influence compliance. Understanding these distinct mechanisms underlying nonresponse can…
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Reimbursements in health care have gotten more complex with the growing importance of risk-based, value-based plans and behavior change. In this video interview, Tiffany Waltos, Director of Revenue and Analytics at Community Health Care…
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Scalable home-based detection of isolated REM sleep behavior disorder (iRBD) is essential for early care, prevention trials, and identifying candidates for neuroprotective interventions against synucleinopathies. We previously showed that high-resolution wrist actigraphy (Axivity AX6)…
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Stormont Vail Health’s journey toward a stronger safety culture included an unexpected twist: an escape room. This playful, team-based experience became a standout moment in the implementation of their safety training—bringing energy, collaboration, and…
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Background: Questionnaire-based symptom assessment may introduce recall bias and lacks bidirectional exploration. This is particularly relevant given the unclear direction of the associations between physical activity (PA), sedentary time (ST) and symptoms in patients…
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Large language models (LLMs) exhibit a vulnerability arising from being trained to be helpful: a tendency to comply with illogical requests that would generate false information, even when they have the knowledge to identify…
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