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Mobile health (mHealth) interventions have emerged as a promising approach for cardiovascular disease (CVD) prevention and management. The proliferation of smartphones and wearable devices enables convenient access to health monitoring tools, educational resources, and communication with healthcare providers. mHealth interventions encompass mobile apps, wearables, and telehealth services that empower users to monitor vital signs, adhere to medication, and adopt healthier lifestyles.
View Article and Find Full Text PDFLung Volume Dependence and Repeatability of Hyperpolarized Xe MRI Gas Uptake Metrics in Healthy Volunteers and Participants with COPD.
Radiol Cardiothorac Imaging
June 2023
From the Departments of Biomedical Engineering (W.J.G., J.P.M., G.W.M.), Radiology and Medical Imaging (K.Q., N.J.T., J.F.M., A.M.R., J.P.M., G.W.M.), Medicine (M.H., Y.M.S.), Public Health Sciences (J.T.P.), and Physics (G.W.M.), University of Virginia, 480 Ray C. Hunt Dr, Box 801339, Charlottesville, VA 22908; Department of Radiation Oncology, City of Hope National Medical Center, Duarte, Calif (K.Q.); Department of Biomedical Engineering, Zhejiang University, Hangzhou, China (L.Z.); and Department of Radiology, University of Missouri, Columbia, Mo (T.A.A.).
Purpose: To assess the effect of lung volume on measured values and repeatability of xenon 129 (Xe) gas uptake metrics in healthy volunteers and participants with chronic obstructive pulmonary disease (COPD).
Materials And Methods: This Health Insurance Portability and Accountability Act-compliant prospective study included data (March 2014-December 2015) from 49 participants (19 with COPD [mean age, 67 years ± 9 (SD)]; nine women]; 25 older healthy volunteers [mean age, 59 years ± 10; 20 women]; and five young healthy women [mean age, 23 years ± 3]). Thirty-two participants underwent repeated Xe and same-breath-hold proton MRI at residual volume plus one-third forced vital capacity (RV+FVC/3), with 29 also undergoing one examination at total lung capacity (TLC).
Development of a Cloud-Based Clinical Decision Support System for Ophthalmology Triage Using Decision Tree Artificial Intelligence.
Ophthalmol Sci
March 2023
Jackman Eye Institute, St. John's, Newfoundland and Labrador, Canada.
Purpose: Clinical decision support systems (CDSS) are an emerging frontier in teleophthalmology, drawing on heuristic decision making to augment processes such as triage and referral. We describe the development and implementation of a novel cloud-based decision tree CDSS for on-call ophthalmology consults. The objective was to standardize the triage and referral process while providing a more accurate provisional diagnosis and urgency.
View Article and Find Full Text PDFR-U policy frontiers for health data de-identification.
J Am Med Inform Assoc
September 2015
Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
Objective: The Health Insurance Portability and Accountability Act Privacy Rule enables healthcare organizations to share de-identified data via two routes. They can either 1) show re-identification risk is small (e.g.
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