About

RMM Lab Research Profile Images

Who Are We

A Full-Spectrum Learning Health Systems Lab

Contact the RMM Lab

Victor Vaughan, 209
1111 Catherine St.
Ann Arbor, MI 48109

Let’s Connect!
We’d love to hear from you! Whether you're a researcher, healthcare professional, policymaker, student, or simply curious about our work, we welcome your questions, ideas, and collaboration opportunities. Reach out to explore potential partnerships, learn more about our research, or discuss how Learning Health Systems can drive meaningful change in healthcare.

Interested in collaborating or learning more?  Fill out the form below and a member of the team will be in touch.

Submit the Collaboration & Inquiries form

Lab Phone Number: 734-232-0464

Systemic problems require system-wide solutions — strategically designed and intentionally delivered.

Welcome to the RMM-Lab, a hub where socio-technical sciences such as implementation, innovation, engineering, medical, design, and data sciences come together to make healthcare safer and better for everyone.  Our team consisting of students, trainees, faculty, healthcare professionals, and patient advocates – collaborates across disciplines to conduct applied research at the intersection of healthcare practice, policy, technology, and human & organizational behavior.

Explore Our Vision

The Learning Health System (LHS) vision has inspired healthcare transformation for over a decade. Yet, practical steps to make this vision a reality remain unclear across all types of healthcare settings whether in "resource-rich" or "resource-poor" environments within the U.S. and around the world. At the RMM-Lab, we’re building new integrative, adaptable tools to bridge that gap; making the LHS vision achievable for all.

Our Current Big Questions

At our Learning Health Sciences lab, we are committed to tackle some of the most pressing challenges in healthcare by asking bold questions that drive innovation, learning, and transformational improvement:

  1. Preventing Serious Medical Errors
    How might we better understand why preventable, high-risk medical errors — that (by definition) should “never” happen — continue to occur, and what critical changes can disrupt these cycles?
  2. Creating Learning Health Systems That Continuously Improve
    How might we leverage multidisciplinary approaches to develop innovative methods that help healthcare organizations not just adopt best practices, but continuously learn, adapt, and improve patient care?
  3. Harnessing AI for Safer, Smarter Healthcare
    How might we harness artificial intelligence to enhance patient safety, improve decision-making, and support sustainable change in Learning Health Systems?
  4. Sustaining Change Through Strategic Learning Health Systems Leadership
    How might we identify and cultivate the leadership and management skills needed to drive and sustain meaningful healthcare improvements in an era of AI and rapid technological change?
  5. Enhancing Surgical Safety and Access through a Global and Domestic Approach 
    How might we design scalable, context-aware solutions that improve surgical safety and accessibility in both high-resource and low-resource settings, ultimately benefiting U.S. patients regardless of their location?

Dive into our research journey

Principal Investigator

Rama Mwenesi Musalia

Rama Mwenesi Musalia

Assistant Professor of Learning Health Sciences
Medical School

Meet the RMM Lab Team Members

Our work centers on a talented team, unified by a shared vision in healthcare.

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Justus Dobson

Research Administration & Leadership Assistant (Staff)
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Youha Shin, M.S.

Data Architect & Project Manager (Staff)
Graham Beck

Graham Beck

Graduate Research Fellow (MD/MBA Candidate)
Tong Sou

Tong Sou

Graduate Research Fellow (PhD Candidate)
Nicole Fairchild-Azevedo

Niki Fairchild-Azevedo, M.Des

Former - Lab Manager & Design Lead
(June 2024 - Feb 2025)
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Hiba Shoaib, M.Ed

Former - Graduate Research Trainee
(June 2024 - Dec 2024)
Analese Patteuw

Analese Patteuw

Undergraduate Research Assistant
(Sept 2024 - Present)
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Morgan Polansky

Undergraduate Research Assistant
(Sept 2024 - Present)
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Arjav Patel, M.S

Graduate Research Trainee
(Jan 2025 - Present)
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Fatin Shadab

Undergraduate Research Trainee
(Nov 2023 - Present)
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Beth Hansemann, M.S

Graduate Research Trainee
(Jan 2025 - Present)
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Christine Carroll, BSN

Graduate Research Trainee
(Jan 2025 - Present)