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From Theory to Practice: Viewpoint on Economic Indicators for Trust in Digital Health.
J Med Internet Res
January 2025
Department of Health Services Research Management, AI and Digital Health Lab (Centre for Healthcare Innovation Research), City St George's University, London, United Kingdom.
User trust is pivotal for the adoption of digital health systems interventions (DHI). In response, numerous trust-building guidelines have recently emerged targeting DHIs such as artificial intelligence. The common aim of these guidelines aimed at private sector actors and government policy makers is to build trustworthy DHI.
View Article and Find Full Text PDFHarnessing Internet Search Data as a Potential Tool for Medical Diagnosis: Literature Review.
JMIR Ment Health
December 2024
Innovation Horizons, Inc., 2819 27th Street, NW, Washington, DC, US.
Background: Access to accurate medical diagnosis has been hindered by socioeconomic disparities, limited availability of specialized medical professionals, and lack of patient education, among other factors. Inequities in access to high-quality healthcare services exacerbate these challenges, often leading to disparities in health outcomes. Missed or inaccurate diagnoses can lead to delayed or unnecessary treatments, risking worsening of the condition.
View Article and Find Full Text PDFUse of Digital Health Technologies by Older US Adults.
JAMA Netw Open
January 2025
Division of General Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor.
Closing the Gap: Digital Innovations to Address Hypertension Disparities.
Curr Cardiol Rep
January 2025
Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA.
Purpose Of Review: Significant inequities persist in hypertension detection and control, with minoritized populations disproportionately experiencing organ damage and premature death due to uncontrolled hypertension. Remote blood pressure monitoring combined with telehealth visits (RBPM) is proving to be an effective strategy for controlling hypertension. Yet there are challenges related to technology adoption, patient engagement and social determinants of health (SDoH), contributing to disparities in patient outcomes.
View Article and Find Full Text PDFImproving rupture status prediction for intracranial aneurysms using wall shear stress informatics.
Acta Neurochir (Wien)
January 2025
Department of Neurosurgery, College of Medicine, University of Michigan, Ann Arbor, MI, USA.
Background: Wall shear stress (WSS) plays a crucial role in the natural history of intracranial aneurysms (IA). However, spatial variations among WSS have rarely been utilized to correlate with IAs' natural history. This study aims to establish the feasibility of using spatial patterns of WSS data to predict IAs' rupture status (i.
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