A highly diverse team imagining the undiscovered

RENAL RESEARCH INSTITUTE

Transforming
patient care
through data-driven
innovation

ABOUT THE RENAL RESEARCH INSTITUTE

The heart of RRI’s capacity for innovation is our ability to examine complex problems through multiple lenses.

The Renal Research Institute (RRI) is an internationally recognized incubator of ideas, treatment processes, and technologies to improve the lives of kidney patients. RRI’s leadership in data analytics, computational biomedicine and AI, as well as our access to a large patient population, accelerates the pace of scientific discoveries and their translation into applied medicine. Our team includes some of the brightest minds from around the world, who, along with their disciplinary expertise, bring a deep understanding of global healthcare issues and challenges.

 

Our Research

We operate at the intersection of clinical data, machine data, and real-world practice, with access to a large patient population and one of the world's largest and richest renal datasets. Our deep connection to the scientific community and to med-tech innovators gives us the rare ability to translate insight into action—quickly, precisely, and meaningfully.

 

Latest Research & News

Latest Research

  • Mariana Murea, Kristie L Foley, Samir C Gautam, Jennifer E Flythe, Jochen G Raimann, Emaad Abdel-Rahman, Alaa S Awad, Vandana Dua Niyyar, Cassandra Kovach, Glenda V Roberts, Nicole M Jefferson, Paul T Conway, Laura M Rosales, Jobira Woldemichael, Hiba I Sheikh, Gaurav Raman, Anne M Huml, Daphne H Knicely, Irtiza Hasan, Bhaktidevi Makadia, Janice Lea, John T Daugirdas, Nihan Gencerliler, Jasmin Divers, Peter Kotanko, Ucheoma C Nwaozuru

    METHODS AND ANALYSISWe will use the Consolidated Framework for Implementation Research (CFIR) and the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) frameworks to inform process evaluation. Mixed methods include surveys conducted with treating providers (physicians) and dialysis personnel (nurses and dialysis administrators); semi-structured interviews with patient participants, caregivers of patient participants, treating providers (physicians and advanced practice practitioners), dialysis personnel (nurses, dieticians and social workers); and focus group meetings with study investigators and stakeholder partners. Data will be collected on the following implementation determinants: (a) organisational readiness to change, intervention acceptability and appropriateness; (b) inner setting characteristics underlying barriers and facilitators to the adoption of HD intervention at the enrollment centres; (c) external factors that mediate implementation; (d) adoption; (e) reach; (f) fidelity, to assess adherence to serial timed urine collection and HD treatment schedule; and (g) sustainability, to assess barriers and facilitators to maintaining intervention. Qualitative and quantitative data will be analysed iteratively and triangulated following a convergent parallel and pragmatic approach. Mixed methods analysis will use qualitative data to lend insight to quantitative findings. Process evaluation is important to understand factors influencing trial outcomes and identify potential contextual barriers and facilitators for the potential implementation of incremental-start HD into usual workflows in varied outpatient dialysis clinics and clinical practices. The process evaluation will help interpret and contextualise the trial clinical outcomes' findings.ETHICS AND DISSEMINATIONThe study protocol was approved by the Wake Forest University School of Medicine Institutional Review Board (IRB). Findings from this study will be disseminated through peer-reviewed journals and scientific conferences.TRIAL REGISTRATION NUMBERNCT05828823.INTRODUCTIONProcess evaluation provides insight into how interventions are delivered across varying contexts and why interventions work in some contexts and not in others. This manuscript outlines the protocol for a process evaluation embedded in a hybrid type 1 effectiveness-implementation randomised clinical trial of incremental-start haemodialysis (HD) versus conventional HD delivered to patients starting chronic dialysis (the TwoPlus Study). The trial will simultaneously assess the effectiveness of incremental-start HD in real-world settings and the implementation strategies needed to successfully integrate this intervention into routine practice. This manuscript describes the rationale and methods used to capture how incremental-start HD is implemented across settings and the factors influencing its implementation success or failure within this trial.

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Education

LATEST EPISODE

The Credit Dilemma – Ethics of Authorship in Modern Research

November 3, 2025

Who truly deserves credit for a scientific publication? How can fairness and transparency in authorship strengthen research integrity?
In this episode of Frontiers in Kidney Medicine & BioIntelligence, Dr. Len Usvyat talks with Dr. Lisa Rasmussen, Professor of Philosophy at UNC Charlotte and Editor-in-Chief of Accountability in Research. Together, they explore:

• Why authorship remains the “currency” of academic success
• How lack of universal standards fuels conflict
• The rise of “gift” and “ghost” authorship
• How AI is reshaping accountability in science
• Best practices for transparency and shared responsibility