Erika L Moen, MS, PhD
Title(s)
Assistant Professor of Biomedical Data Science
Assistant Professor of The Dartmouth Institute
Department(s)
Biomedical Data Science
The Dartmouth Institute
Education
University of Chicago, Ph.D., 2014
University of Chicago, M.S., 2014
Brown University, B.A., 2009
Programs
Norris Cotton Cancer Center
Quantitative Biomedical Sciences
Websites
Lab website:
https:
Google scholar page:
https:
Academic Analytics
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Contact Information
One Medical Center Drive
Williamson Translational Research Building Level 3
HB 7261
Lebanon NH 03756
Office: 327 Williamson
Phone: (603) 650-1976
Email: Erika.L.Moen@Dartmouth.edu
Professional Interests
Dr. Moen’s research program uses state-of-the-art data science methods to study variation in cancer care delivery and patient outcomes. Specific interests include evaluating physician patient-sharing networks to examine access to multidisciplinary cancer care, care coordination, and how novel cancer tests and treatments are adopted by clinicians. The ultimate goal of Dr. Moen’s research is to contribute to efforts in streamlining high quality cancer care to optimize patient outcomes.
Grant Information
R37CA263936 NIH NCI
Role: PI
Title: Improving cancer health equity by targeting physician networks
P20GM104416 – Molecular Epidemiology COBRE (Karagas) (completed)
Role: Project leader
Title: The role of physician network properties in diffusion of a novel cancer technology
Courses Taught
PH147/QBS 139: Advanced Methods in Health Services Research
Mentoring Information
Ph.D. Rotations. Students interested in rotating in the Moen Lab are encouraged to contact Erika.
Association between a network-based physician linchpin score and cancer patient mortality: A SEER-Medicare analysis. Broadband Data Forensics: Spatiotemporal Variations of the Download/Upload Speed Metric Commonly Used to Evaluate Potential Telehealth Accessibility. Dissecting patterns and predictors of interhospital transfers for patients with brain metastasis. Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis. Use of a Novel Network-Based Linchpin Score to Characterize Accessibility to the Oncology Physician Workforce in the United States. Using passive sensor data to probe associations of social structure with changes in personality: A synthesis of network analysis and machine learning. The interaction of rurality and rare cancers for travel time to cancer care. Rural-Urban Differences in Breast Cancer Surgical Delays in Medicare Beneficiaries. Prevalence of Children With Medical Complexity and Associations With Health Care Utilization and In-Hospital Mortality. A measure of local uniqueness to identify linchpins in a social network with node attributes. |
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