Advancing the Speed and Science of Implementation Using Mixed-Methods Process Mapping – Best Practice Recommendations

This presentation introduces a formalised approach to using mixed‑methods process mapping to strengthen health‑system implementation. While process mapping is commonly used to visualise clinical workflows, its application has often been inconsistent. Drawing on theory, evidence, and expert insight, we outline 10 best‑practice recommendations and a structured framework for integrating mixed‑methods process mapping across three key phases:

1. engaging stakeholders,

2. identifying when and where change is needed, and

3. uncovering barriers and enablers to co‑design implementation strategies.

The presentation will include clear rationale, practical guidance, and example case studies to demonstrate best practice. It aims to show how mixed‑methods process mapping can support more effective integration of evidence‑based innovations into health systems

About the Presenter

Professor Natalie Taylor is the Founder and Director of Implementation to Impact (i2i) at UNSW Sydney, where she leads a world‑class research and practice program dedicated to accelerating the translation of evidence into healthcare. An internationally recognised leader in implementation science – particularly in cancer, genetics, and genomics – she has developed influential methods and tools used globally to drive real‑world change. Since joining UNSW in 2021, she has built a >20‑member interdisciplinary team entirely funded by competitive grants, secured more than $14 million in Category 1 funding as CIA, and produced a rapidly growing research output exceeding 170 publications. She leads the design and implementation of the world’s first fully integrated precision oncology clinic embedded in routine care and is widely sought after for national and international collaborations, keynote presentations, and policy advice. Natalie is also the Director of Research for the School of Population Health at UNSW and convenes Australia’s first Master’s‑level Implementation Science elective, consistently earning outstanding teaching evaluations.