This document discusses the distinctions, synergies, and infrastructures needed to optimize patient outcomes through evidence based practice, research, and quality improvement. It compares the problem solving processes of quality improvement, evidence based practice, and clinical research. Quality improvement uses a systematic, data-driven approach to improve processes and outcomes, while evidence based practice involves using the best available research evidence, clinical expertise, and patient preferences to make decisions. Clinical research aims to generate generalizable knowledge through systematic study and evaluation. Infrastructure characteristics like mentorship, leadership, and culture can promote high quality outcomes, evidence uptake, and clinical inquiry.