Fast and frugal trees: translating population-based pharmacogenomics to medication prioritization. (March 2015)

• Record Type: Journal Article
• Authors: Rooij, Tibor van; Roederer, Mary; Wareham, Todd; Rooij, Iris van; McLeod, Howard L; Marsh, Sharon
• Is Part Of: Personalized medicine. Volume 12:Number 2(Year 2015)
• Page Start: 117
• Page End: 128
• Publication Date: 2015-03
• Subjects: clinical decision support -- eHealth -- fast and frugal decision trees -- information technology -- knowledge translation -- medication prioritization -- personalized medicine -- pharmacogenomics -- point-of-care -- software agent; Pharmacogenomics -- Periodicals; Pharmacogenetics -- Periodicals; 615.19
• DOI: 10.2217/pme.14.66
• Languages: English
• ISSNs: 1741-0541

Abstract

Aim: Fast and frugal decision trees (FFTs) can simplify clinical decision making by providing a heuristic approach to contextual guidance. We wanted to use FFTs for pharmacogenomic knowledge translation at point-of-care.Materials & Methods: The Pharmacogenomics for Every Nation Initiative (PGENI), an international nonprofit organization, collects data on regional polymorphisms as a predictor of metabolism for individual drugs and dosages. We advanced FFTs to work with PGENI pharmacogenomic data to produce medication recommendations that are accurate, transparent and straightforward to automate.Results: By streamlining medication selection processes in the PGENI workflow, information technology applications can now be deployed.Conclusion: We developed a decision tree approach that can translate pharmacogenomic data to provide up-to-date recommended care for populations based on their medication-specific markers.