A5041078111- Emergency and Acute Care Studies
- Health disparities and outcomes
- Food Security and Health in Diverse Populations
- Electronic Health Records Systems
- Data Quality and Management
- Big Data and Business Intelligence
- Topic Modeling
- Psychiatric care and mental health services
- Grief, Bereavement, and Mental Health
- Global Health Workforce Issues
- Schizophrenia research and treatment
- Diversity and Career in Medicine
- Medical Education and Admissions
- Trauma and Emergency Care Studies
- Machine Learning in Healthcare
- Elder Abuse and Neglect
- Text and Document Classification Technologies
University of North Carolina at Chapel Hill
2020-2022
Washington University in St. Louis
2021
Mayo Clinic in Arizona
2021
University of Washington
2021
Boston Medical Center
2021
Mayo Clinic
2021
University of California San Francisco Medical Center
2021
Stanford Health Care
2021
Duke University Hospital
2020
Duke Medical Center
2020
Abstract Objectives Social determinants of health (SDH), key contributors to health, are rarely systematically measured and collected in the electronic record (EHR). We investigate how leverage clinical notes using novel applications multi-label learning (MLL) classify SDH mental substance use disorder patients who frequent emergency department. Methods Materials labeled a gold-standard corpus EHR note sentences (N = 4063) with 6 identified SDH-related domains recommended by Institute...
Social determinants of health (SDoH) are known to impact the and well-being patients. However, information regarding them is not always collected in healthcare interactions, professionals well-trained or equipped address them. Emergency medical services (EMS) uniquely positioned observe attend SDoH because their presence patients' environments; however, transmission that may be lost during transitions care. Documentation EMS records helpful identifying addressing insecurities improving...
OBJECTIVES To characterize assessments of a patient's ability to report elder abuse within the context an emergency department (ED)–based screen for abuse. DESIGN Cross‐sectional study in which participants were screened and neglect. SETTING Academic ED United States. PARTICIPANTS Patients, aged 65 years older, presenting acute care assessed by trained research assistants or nurses. MEASUREMENTS All patients completed four‐item Abbreviated Mental Test 4 (AMT4), then safety interview (using...
Objective: Emergency medical services (EMS) provide critical interventions for patients with acute illness and injury are important in implementing prehospital emergency care research. Retrospective, manual patient record review, the current reference-standard identifying cohorts, requires significant time financial investment. We developed automated classification models to identify eligible clinical trials using EMS notes compared model performance review.Methods: With eligibility criteria...
Emergency departments (EDs) have been increasingly utilized over time for psychiatric care. While multiple studies assessed these trends in nationally representative data, few evaluated state-level data. This investigation seeks to understand the mental health-related ED burden North Carolina (NC) by describing visits associated with a health diagnosis (MHD) time.Using data from NC DETECT, this describes January 1, 2008 through December 31, 2014 presence of MHD code. A visit was classified...
One of the six guiding principles EMS Agenda 2050 is to foster a socially equitable care delivery system. A specific recommendation within this principle that "local leadership, educators and clinicians [should] reflect diversity their communities." Research has shown women comprise minority emergency medicine services (EMS) field clinicians. In academic settings, are represented at lower rates among experienced faculty than Emergency Medicine or large. The reasons for these differences also...