The Burden of Burnout: An Assessment of Burnout Among Internal Medicine Residents After the 2011 Duty Hour Changes.

Samantha is the manager of the Duke Cancer Institute (DCI) Biostatistics Shared Resource. Collaboratively, she primarily works with physicians in DCI, specifically in research of Endocrine Neoplasia and Breast Cancer. She is also the director of the Biostatistics, Epidemiology, Research, and Design Methods (BERD) Core Training and Internship Program (BCTIP). Her professional experience involves study design, analysis, and reporting of clinical trials and observational studies. Her specific areas of interest include training of collaborative biostatisticians, modeling of non-linear associations, and application of partitioning analyses to identify homogeneous patient groups.

I am a hospital medicine physician interested in quality improvement, patient safety, and medical education across the UME, GME, and CME environments. My current QI and research projects include work on readmissions, inpatient ORYX and patient experience measures, clinical documentation improvement, medication reconciliation, and appropriate utilization of inpatient resources. Alongside this work, I serve as the lead mentor for our Durham VA Chief Resident in Quality and Safety within the Department of Medicine and the Program Director for the Duke University Hospital CRQS.

As Associate Program Director for Quality Improvement and Patient Safety in the Duke Internal Medicine Residency Program, I oversee QI and safety education and projects for our residents and help co-lead our Residency Patient Safety and Quality Council. Additionally, I supervise housestaff and students on our general medicine wards, precept housestaff evidence-based medicine resident reports, and serve as a small group leader for our second-year medical student Clinical Skills Course. Finally, I lead our Innovation Sciences committee as part of the ongoing School of Medicine Curriculum Innovation Initiative.

Medical education
Genomic applications for diagnosis of infectious diseases
Genomic applications for prediction of infectious diseases

Patient safety and quality improvement, hospital based performance improvement, care transitions and hospital readmissions, general internal medicine hospital care, resident and medical student education.