Inova Schar Heart and Vascular has an unwavering commitment to delivering excellent cardiovascular care and has integrated principles of a learning health care system to develop our system of continuous process improvement and innovation. A learning health system integrates its internal experiences with external research to enhance patient outcomes, support the discovery of new treatments and care pathways, and deliver safer, more efficient, and more personalized care. Leveraging learning across health systems maximizes the impact, allowing cardiovascular teams to gain insights into the effectiveness of different treatment strategies. In this Frontiers in Cardiovascular Medicine compendium of articles, the team at Inova describe the spectrum of research and educational activities that have contributed to our progress as a learning cardiovascular health system and support our journey to deliver excellent cardiovascular care.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540790 | PMC |
http://dx.doi.org/10.3389/fcvm.2024.1409303 | DOI Listing |
J Prim Care Community Health
January 2025
Geisel School of Medicine at Dartmouth College, Hanover, NH, USA.
Introduction/objectives: Patients returning to the community from incarceration (ie, reentry) are at heightened risk of experiencing trauma when interacting with the healthcare system. Healthcare professionals may not recognize patients' trauma reactions or know how to effectively respond. This paper describes the development and pilot evaluation of a single-session training to prepare primary care teams to deliver trauma-informed care (TIC) to patients experiencing reentry.
View Article and Find Full Text PDFErgonomics
January 2025
Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA.
Ergonomics and Human Factors (E/HF) practitioners are increasingly engaged in projects meant to centre underserved communities and reduce inequities. The subdiscipline of E/HF that has emerged to explore the application of E/HF in this way is called community ergonomics. In this qualitative-descriptive study, we reflect on the progress made in the field of community ergonomics since its original conceptualisation in 1994.
View Article and Find Full Text PDFAnal Methods
January 2025
Jiangsu Beier Machinery Co. Ltd, Jiangsu, 215600, China.
Plastic waste management is one of the key issues in global environmental protection. Integrating spectroscopy acquisition devices with deep learning algorithms has emerged as an effective method for rapid plastic classification. However, the challenges in collecting plastic samples and spectroscopy data have resulted in a limited number of data samples and an incomplete comparison of relevant classification algorithms.
View Article and Find Full Text PDFLiver Int
February 2025
Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background And Aim: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Methods: This multicenter cohort study utilised a development set from Beijing Friendship Hospital, with retrospective and prospective validation sets from 10 tertiary hospitals across various regions of China spanning January 2009 to May 2023.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!