Physician burnout has been increasing in the United States, especially in primary care, and the use of Electronic Health Records (EHRs) is a prominent contributor. This review article summarizes findings from a PubMed literature search that shows the significant contributors to EHR-related burnout may be documentation and clerical burdens, complex usability, electronic messaging and inbox, cognitive load, and time demands. Documentation requirements have escalated and have inherently changed from paper-based records. Many clerical tasks have also shifted to become additional physician responsibilities. When considering factors of efficiency, effectiveness, and user satisfaction, EHRs overall have an inferior usability score when compared to other technologies. The volume and organization of data along with alerts and complex interfaces require a substantial cognitive load and result in cognitive fatigue. Patient interactions and work-life balances are negatively affected by the time requirements of EHR tasks during and after clinic hours. Patient portals and EHR messaging have created a separate source of patient care outside of face-to-face visits that is often unaccounted productivity and not reimbursable.
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http://dx.doi.org/10.1177/21501319231166921 | DOI Listing |
Circ Genom Precis Med
January 2025
Mary and Steve Wen Cardiovascular Division, Department of Medicine, University of California, Los Angeles. (W.F., N.D.W.).
Background: Lp(a; Lipoprotein[a]) is a predictor of atherosclerotic cardiovascular disease (ASCVD); however, there are few algorithms incorporating Lp(a), especially from real-world settings. We developed an electronic health record (EHR)-based risk prediction algorithm including Lp(a).
Methods: Utilizing a large EHR database, we categorized Lp(a) cut points at 25, 50, and 75 mg/dL and constructed 10-year ASCVD risk prediction models incorporating Lp(a), with external validation in a pooled cohort of 4 US prospective studies.
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
View Article and Find Full Text PDFDigit Health
January 2025
University of Haifa, School of Public Health, Head, Division of Health Systems Policy and Administration, Haifa, Israel.
Unlabelled: Adverse event reporting for medical devices is critical for risk mitigation. The Food and Drug Administration's (FDA) Manufacturer and User Facility Device Experience (MAUDE) database serves as a key tool for post-market surveillance, receiving reports from various sources. Ensuring information integrity, especially across diverse reporting sources, is paramount.
View Article and Find Full Text PDFFront Physiol
January 2025
Regenerative Medicine Division, CHU de Quebec - Université Laval Research Centre, Quebec City, QC, Canada.
Introduction: Recent findings show that visible light, particularly blue light, stimulates melanogenesis in human skin, though the underlying mechanisms remain debated. This study aimed to determine the cell damage threshold of non-ionizing blue light on keratinocytes while preserving their ability to stimulate melanogenesis.
Methods: Human keratinocytes (N = 3) and melanocytes (N = 3) were isolated from skin samples of varying Fitzpatrick skin phototypes and irradiated with blue light (λpeak = 457 nm) and UVA light (λpeak = 385 nm).
Tzu Chi Med J
July 2024
Department of Radiation Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Objectives: Head-and-neck cancer is a major cancer in Taiwan. Most patients are in the advanced stage at initial diagnosis. In addition to primary surgery, adjuvant therapy, including chemotherapy and radiotherapy, is also necessary to treat these patients.
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