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The use and application of Lean Management methods to research processes-a scoping review protocol
Caroline Ariane Dahl Wraae1, Niels Opstrup2, Kirsten Ohm Kyvik3
1Clinical Research, OPEN, University of Southern Denmark, Odense, Denmark cadw@health.sdu.dk.
Introduction:
Waste in medical research is a relatively well-known issue. However, only a few initiatives exist to address this issue. Lean Management methods (Lean) were developed in industrial manufacturing and later applied within healthcare improvement. Overall, the results from studies of the application of Lean to healthcare appear to be positive in terms of greater efficiency regarding treatment outcomes and patient care. Nevertheless, the application of Lean to improve research processes is not well studied and, given that research alongside clinical practice and experiential knowledge provides the foundation for the treatment and care of patients, it is paramount to identify approaches and review the degree to which they increase efficiency within research procedures. Therefore, this review will scope the landscape of studies that investigated Lean and how to implement Lean in research processes, particularly regarding healthcare research.
Methods And Analysis:
Our approach follows the methodological framework of Arksey and O'Malley for conducting scoping reviews (PRISMA-ScR). The search strategy for this scoping review was developed using the PCC model. We will identify the relevant literature by searching four search databases: Scopus, Web of Science, Academic Search Premier and Business Source Complete. Next, we will use citation pearl growing to identify all relevant published literature. The data charting process will follow the PRISMA-ScR checklist and will be organised using NVivo. We will generate qualitative and quantitative assessments of the extracted data by using NVivo, RStudio and Excel. We will follow the PRISMA-ScR guideline when reporting the results.
Ethics And Dissemination:
The review will comprise existing published studies and no primary data will be collected. Our findings will be shared through open access peer-reviewed journals, national and international conferences and emails to all relevant collaborative relationships. We plan to disseminate our findings via academic social media platforms, newspaper articles and blogposts.
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