LeaRRn: Learning Health Systems Rehabilitation Research Network

LeaRRn provides support for implementation science and learning health systems research in order to improve rehabilitation quality, value, and outcome.

Opportunities

LHS Scholar Program
Pairs rehabilitation researchers with health systems.

Pilot Studies Program
Funding for small research projects.

Resources & Consultation

Resources
Access to a wide range of LHS resources.

Consultation
Access LHS faculty expertise.

Education and Training

A variety of innovative approaches to promote LHS research awareness and competency development.

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Needs Assessment

Identifying knowledge gaps to prioritize education and training opportunities.

Join the LeaRRn mailing list

Keep in touch with the latest developments in Learning Health System research.

What is a Learning Health System?

A LHS systematically integrates evidence established with internal data and real world experience in order to provide high quality, safer, more efficient care.

What does a LHS researcher do?

A LHS researcher is an individual who is embedded within a health system and collaborates with its stakeholders to produce novel insights and evidence that can be rapidly implemented to improve the outcomes of individuals and populations and health system performance.

The rehabilitation community welcomes LeaRRn!

“Learning Health Systems Rehabilitation Research Network (LeaRRn) funded by NCMRR brings together Brown University, the University of Pittsburgh and Boston University  as evidence that rehabilitation is an essential partner in the creation of learning health systems able to move practice  toward value-based care and stakeholder centered outcomes.  The pilot grants, visiting scholar program, and other resources will establish partnerships with healthcare systems and transform rehabilitation education, practice and science.”

Kenneth J. Ottenbacher, PhD, OTR

Professor & Director, Division of Rehabilitation Sciences
University of Texas Medical Branch
Director, Center for Large Data Research and Data Sharing in Rehabilitation

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“There has never been a more compelling moment for learning health systems in rehabilitation. This essential expectation of health care — that knowledge of prior patient outcomes must shape our treatment of future patients — is deceptively simple. Developments in electronic medical records, artificial intelligence, mobile technology and frameworks for collaboration, make this expectation achievable in rehabilitation. Boston University’s Sargent College is thrilled to be a partner in the LeaRRn collaboration, working with some of the nation’s most influential innovators and leading programs in this important effort.”

Christopher A. Moore, PhD

Dean, College of Health & Rehabilitation Sciences, Sargent College
Professor, Department of Speech, Language & Hearing Sciences, Boston University

“Learning health systems (LHS), a great health care research resource, are rarely focused on patients’ rehabilitation.  The Learning Health Systems Rehabilitation Research Network (LeaRRn), a NIH funded collaborative effort of Brown University, the University of Pittsburgh and Boston University, is an innovative resource that will foster health systems research to improve the quality and value of rehabilitation patient care.  I congratulate Dr. Resnik and her collaborators on a timely and important accomplishment and look forward to seeing the fruits of their labor.”

Alan M. Jette, PT, PhD, MPH, FAPTA

Professor, PhD in Rehabilitation Sciences, and Physical Therapy; MGH Institute of Health Professions

“In the presence of the acute crisis of managing Covid-19, we must still consider the long-term needs,  of victims of the pandemic, and people with disability and chronic conditions.  Bringing together the best partners in health systems, quality and leadership with premier researchers to insure that we can scale evidence based rehabilitation interventions is how we can transform healthcare.”

Pamela Duncan, PT, PhD, FAPTA, FAHA

Professor, Neurology
Wake Forest School of Medicine