Research

The RMM Lab is an interdisciplinary team of researchers, healthcare providers, administrators, patients, and students – dedicated to transforming ambitious ideas into actionable solutions. By operationalizing learning systems theory, we help healthcare organizations adapt and evolve in response to the challenges they face. Whether it's improving patient outcomes, optimizing system efficiencies, or learning from and preventing adverse events, our research aims for systemic change, sustainably and at scale.

Central to our efforts is the RMM Lab’s innovative approach to problem-solving within Learning Health Systems (LHS). Currently under publication review, this approach forms our foundation for making LHS’s real, practical and effective in healthcare settings.

Methodological Highlights:

• We draw on current research frameworks in Learning Health Systems (LHS) and Implementation Science by introducing new concepts and methods for assessing infrastructure.
• We combine community-centered design thinking with a structured, multilevel problem-solving approach.
• Our methods are adaptable for both high-resource and low-resource healthcare settings.
• We focus on promoting learning and fostering transformation.

To effectively tackle healthcare challenges, it is essential to start with a clear understanding of the problem. Our approach highlights the complex nature of healthcare's wicked problems by focusing on the interconnected factors involved. We explore and untangle these factors at different levels: individual behaviors, organizational systems, and infrastructural foundations. This way, we make sure to consider all aspects of a health problem from the onset.

By combining the structured improvement strategies of Quality Improvement with the adaptive learning of Learning Health Sciences and the practical application focus of Implementation Science, our approach empowers healthcare improvement teams with the tools for transformation.

In today's healthcare landscape, the power of data lies not in its volume, but in its relevance and timeliness. Our approach advocates for building robust data infrastructures that intelligently filter and process data to deliver the most critical insights, and take UX design principals to heart creating readable, sharable, understandable data. This approach produces results which empower healthcare leaders and frontline providers to make proactive, appropriate and data-driven decisions.