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Trends in Screening for Social Risk in US Physician Practices.
JAMA Netw Open
January 2025
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Importance: A wealth of research on screening for social risks in health care has emerged, but evidence is lacking on how social risk screening among physician practices has changed over time.
Objectives: To evaluate trends in screening for social risks among US physician practices and examine practice characteristics associated with adoption of social risk screening.
Design, Setting, And Participants: The main analysis used a repeated cross-sectional design to analyze results from US physician practices that completed the National Survey of Healthcare Organizations and Systems, a nationally representative survey of physician practices, in 2017 and 2022.
Understanding the experience of Latinas in medical education: A qualitative study.
Cancer
January 2025
Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Background: Despite increased recruitment of Latina medical students, the percentage of Latina physicians has remained stagnant, suggesting unique retentive barriers affecting this population. Discriminatory experiences involving bias may contribute to difficulties in the retention and advancement of Latinas in medicine. This qualitative analysis aimed to explore thematic barriers prevalent among Latinas throughout their medical training in the United States.
View Article and Find Full Text PDFImpact of diagnosis-related group payment on medical expenditure and treatment efficiency on people with drug-resistant tuberculosis: a quasi-experimental study design.
Int J Equity Health
January 2025
Department of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: The severe health challenge and financial burden of drug-resistant tuberculosis (DR-TB) continues to be an impediment in China and worldwide. This study aimed to explore the impact of Diagnosis-related group (DRG) payment on medical expenditure and treatment efficiency among DR-TB patients.
Methods: This retrospective cohort study included all DR-TB patients from the digitized Hospital Information System (HIS) of Wuhan Pulmonary Hospital and the TB Information Management System (TBIMS) with completed full course of National Tuberculosis Program (NTP) standard treatment in Wuhan from January 2016 to December 2022, excluding patients whose treatment spanned both before and after the DRG timepoint.
Transforming medical education in the AI era: Balancing technological expertise with humanistic care in tomorrow's doctors.
Ann Acad Med Singap
December 2024
Group Clinical Education, National Healthcare Group, Singapore.
A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud.
Sci Rep
January 2025
School of Information Engineering, Changji University, Changji, 831100, Xinjiang, China.
Healthcare insurance fraud imposes a significant financial burden on healthcare systems worldwide, with annual losses reaching billions of dollars. This study aims to improve fraud detection accuracy using machine learning techniques. Our approach consists of three key stages: data preprocessing, model training and integration, and result analysis with feature interpretation.
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