Toward rapid learning in cancer treatment selection: an analytical engine for practice-based clinical data

Journal of Biomedical Informatics – The promise of leveraging vast medical record data to guide clinical decision making has created growing support for the development of “Rapid Learning Systems” (RLS) that gather and leverage practice-based clinical evidence for real-time clinical decision support. The need for such systems is particularly evident within the field of oncology, where controlled clinical trial evidence is only available to guide therapy in a minority of patients.