A5088727636- Heart Failure Treatment and Management
- Cardiac Health and Mental Health
- Cardiovascular Function and Risk Factors
- Acute Myocardial Infarction Research
- Heart Rate Variability and Autonomic Control
- Takotsubo Cardiomyopathy and Associated Phenomena
- Atrial Fibrillation Management and Outcomes
- Workplace Health and Well-being
- Mechanical Circulatory Support Devices
- Cardiac pacing and defibrillation studies
- Mobile Health and mHealth Applications
- Cardiovascular Health and Risk Factors
- Pharmaceutical Practices and Patient Outcomes
- Venous Thromboembolism Diagnosis and Management
- Health Systems, Economic Evaluations, Quality of Life
- Physical Activity and Health
- Health Literacy and Information Accessibility
- Health disparities and outcomes
- Antiplatelet Therapy and Cardiovascular Diseases
- Pharmaceutical industry and healthcare
- Social Media in Health Education
- Artificial Intelligence in Healthcare and Education
- Medication Adherence and Compliance
- Heart rate and cardiovascular health
- Science, Research, and Medicine
Fitbit (United States)
2024
Georgetown University
2022-2023
Google (United States)
2016-2022
Yale University
2020-2022
RELX Group (United States)
2017
Johns Hopkins University
2007-2017
Johns Hopkins Bayview Medical Center
2007-2017
Johns Hopkins Medicine
2007-2015
University of Baltimore
2014
Pancur Kasih Association
2013
<h3>Background</h3> Depressed older individuals have a higher mortality than persons without depression. Depression is associated with physical inactivity, and low levels of activity been shown in some cohorts to be partial mediator the relationship between depression cardiovascular events mortality. <h3>Methods</h3> A cohort 5888 (mean 72.8±5.6 years, 58% female, 16% African-American) from four US communities was followed for an average 10.3 years. Self-reported depressive symptoms (10-item...
The increasingly sophisticated and rapidly evolving application of artificial intelligence in medicine is transforming how health care delivered, highlighting a need for current future physicians to develop basic competency the data science that underlies this topic. Medical educators must consider incorporate central concepts into their core curricula train future. Similar advent diagnostic imaging required physician understand, interpret, explain relevant results patients, should be able...
Although a number of risk factors are known to predict mortality within the first years after myocardial infarction, little is about interactions between factors, whereas these could contribute accurate differentiation patients with higher and lower for mortality. This study explored effect on all-cause in infarction based individual patient data meta-analysis. Prospective 10,512 hospitalized were derived from 16 observational studies (MINDMAPS). Baseline measures included broad set such as...
Heart failure (HF) patients have high 30-day readmission rates with costs and poor quality of life. This study investigated the impact a framework blending Lean Sigma, design thinking, Startup on all-cause readmissions among HF patients. was prospective in an academic hospital Baltimore, Maryland. Thirty-day assessed using hospital's electronic medical record. The baseline rate for 28.4% 2010 690 discharges. developed interventions implemented second half 2011. evaluated through 2012....
Abstract Patient online health searching is now commonplace, however, the accuracy of patient generated differentials for new symptoms and potential anxiety are concerns. We aimed primarily to determine with without searching, secondarily, evaluate impact on levels. In waiting room prior seeing a clinician, 300 patients were randomly assigned 1:1:1 Google related features including symptom search tool vs disabled no searching. Participants 18 years or older presenting emergency department an...