Hi, I’m Rachael Rosen.

Data-driven health services researcher improving patient outcomes through technology and data science.

What I do

I specialize in health services research, focusing on healthcare claims analysis, machine learning, and outcomes research in rehabilitative care. My work integrates clinical expertise with advanced data science methods to evaluate patient trajectories, predict healthcare risks, and promote health equity. I apply mixed methods and user-centered research approaches to develop outcome measures, identify systemic barriers, and improve patient outcomes across rehabilitative care settings.

Clinical + Research Expertise

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

  1. Identify gaps in patient care and rehabilitation pathways.
  2. Apply a user-centered approach to data-driven research.
  3. Translate research findings into practical, implementable solutions.
  4. Collaborate across disciplines to advance health innovations.
  5. Communicate complex research insights to both technical and non-technical audiences.

Skills

  • Healthcare claims analysis
  • Predictive modeling and risk stratification using machine learning
  • Health outcomes research
  • Social determinants of health and health disparities analysis
  • Mixed methods research (qualitative and quantitative)
  • Outcome measure development and validation
  • Statistical programing
  • Data visualization and reporting
  • Cross-disciplinary collaboration with clinicians, researchers, and data scientists
  • User-centered research design and participatory methods
  • Wearable technology data analysis and real-world outcome measurement

Educational background

PhD in Rehabilitation Science

University of Washington

Expected graduation: 2025

Master of Prosthetics & Orthotics

University of Washington

Bachelor of Science in Kinesiology

Western Washington University

Current work

I conduct health services research focused on advancing rehabilitative care through healthcare claims analysis, machine learning, and outcomes research. My dissertation, Post-Acute Trajectories and Readmission Risks Among Medicare Beneficiaries Following Lower Limb Amputation, leverages Medicare claims data and predictive modeling techniques to evaluate post-acute care pathways and hospital readmission risks. Through this work, I apply advanced statistical methods to better understand patient trajectories, inform healthcare delivery, and promote more equitable health outcomes.

My research portfolio 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.
  • Applying data science and social determinants of health frameworks to identify systemic barriers and improve patient outcomes in rehabilitative care.

Let’s Connect

I am actively exploring opportunities in health tech, data science, and health services research.

Contact me