Hi, I’m Rachael Rosen.

I’m a data-driven researcher advancing health equity through technology.

What I do

I specialize in health services research focused on rehabilitative care, combining big data analysis, healthcare claims data, and participatory research methods. Through my work with Medicare claims data and advanced statistical methods, I aim to improve patient outcomes and promote health equity by using data-driven approaches to better understand and address healthcare challenges.

I’m a prosthetist-orthotist and clinical researcher

My dual expertise in CLinical care & research equips me to:

  1. Identify Needs and Gaps in Clinical Care: Recognizing and addressing crucial gaps in current clinical practices.
  2. User-Centered Approach: Ensuring solutions align with the needs and experiences of end-users.
  3. Translational Research Skills: Bridging the gap between theoretical research and practical, implementable solutions.
  4. Cross-Disciplinary Collaboration: Collaborating with professionals from diverse backgrounds for comprehensive solutions.
  5. Communicate Research to Non-Research Audiences: Articulating complex research concepts in a clear and accessible manner for all audiences.

My research expertise

  • Data science and machine learning
  • Health services research
  • Health outcomes and disparities
  • Social determinants of health
  • Outcome measure development
  • Survey development
  • Prosthetic technology
  • Rehabilitation science
  • Mixed methods and participatory research

Educational background

Bachelor of Science in Kinesiology

Western Washington University

Master of Prosthetics & Orthotics

University of Washington

PhD in Rehabilitation Science

University of Washington

Expected graduation: 2025

Current work

As a researcher, my focus spans utilizing big data and machine learning to generate actionable insights, with the goal of advancing rehabilitative care and improving patient outcomes. My dissertation, Post-acute trajectories and readmission risks among Medicare beneficiaries following lower limb amputation, leverages Medicare claims data and machine learning to predict patient outcomes and hospital readmission risks, contributing to a deeper understanding of rehabilitative care pathways for individuals after amputation.

Additionally, my work includes:

  • Conducting mixed methods research to address health disparities among individuals with disabilities.
  • Developing a comprehensive and innovative outcome measure toolbox to assess fall-related outcomes in lower limb prosthesis users.
  • Blending data science with a deep understanding of social determinants of health to enhance health equity in rehabilitative care, with a particular focus on addressing systemic issues in underserved communities.
Contact me