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Treatment of e-cigarette use among hospitalised adolescents and young adults: a protocol for intervention development and evaluation of preliminary efficacy and implementation outcomes in a randomised controlled trial.
BMJ Open
January 2025
Hospital Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA
Introduction: Hospitalisation represents an opportunity to identify and treat e-cigarette use among adolescents and young adults (AYAs). Knowledge on how to provide this care is lacking. We aim to fill this gap by developing an e-cigarette use intervention and evaluating preliminary efficacy and implementation outcomes among hospitalised AYAs.
View Article and Find Full Text PDFEvaluating an ICD-10 Based Proxy for Date of Birth in Electronic Health Record Data.
Pharmacoepidemiol Drug Saf
January 2025
Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA.
Purpose: To comply with the Health Insurance Portability and Accountability Act of 1996 (HIPAA) Privacy Rule, many real-world data providers mask a patient's date of birth by supplying only year of birth to data users. The lack of granularity around patient age is a challenge when using RWD, especially for pediatric research studies. In this study, a proxy for patient date of birth is evaluated using electronic health record (EHR) data.
View Article and Find Full Text PDFAssessing the Landscape of AI-Powered Patient Documentation in Dermatology.
J Drugs Dermatol
January 2025
Background: The prevalence of burnout among United States (US) dermatologists has surged, reaching 49% in 2023, with a growing volume of bureaucratic tasks (eg, charting, paperwork) the leading factor behind professional fatigue. We seek to explore the competitive landscape and efficacy of AI-powered patient documentation to alleviate burnout among dermatologists by optimizing documentation practices while maintaining accuracy.
Methods: We conducted a review of eighteen AI-powered automated documentation products available in the current healthcare landscape, focusing on their integration with electronic health record (EHR) systems, HIPAA compliance, language support, mobile accessibility, and consumer type.
Using large language models for extracting stressful life events to assess their impact on preventive colon cancer screening adherence.
BMC Public Health
January 2025
Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA.
Background: Increase in early onset colorectal cancer makes adherence to screening a significant public health concern, with various social determinants playing a crucial role in its incidence, diagnosis, treatment, and outcomes. Stressful life events, such as divorce, marriage, or sudden loss of job, have a unique position among the social determinants of health.
Methods: We applied a large language model (LLM) to social history sections of clinical notes in the health records database of the Medical University of South Carolina to extract recent stressful life events and assess their impact on colorectal cancer screening adherence.
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