By Dr. Huong Luu, Project Lead, Statistics, Alberta Real World Evidence Consortium
One of the most rewarding aspects of this project was being closely involved in the study design and analysis of a real-world question that was important to patients, clinicians, and the healthcare system.
The key challenge was making meaningful comparisons between different surgical approaches. The choice of surgical approach is part of clinical decision-making and is not random, so patients receiving different approaches may already differ in ways that can influence their outcomes. This made careful study design and thoughtful analytical approaches particularly important. It reinforced for me that, in real-world research, the quality of the evidence depends not only on the statistical methods used, but also on how well we understand the clinical context and the decisions that shape the data.
The project also highlighted the value of collaboration and guidance from AHS, data custodians, clinicians, and surgeons. Their perspectives helped me better understand the data and its nuances, as well as the clinical context, and think more carefully about how the research questions should be approached. Their input, combined with epidemiological and statistical perspectives, helped us develop an analysis that was both methodologically rigorous and clinically meaningful.
This experience reminded me that good research is not simply about finding an answer in the data. It is about asking the right question, understanding the context behind the data, recognizing its limitations, and working collaboratively to produce evidence that can be useful in practice. Seeing the work published and its contribution to the broader discussion of robotic surgery in Alberta was especially rewarding and reinforced my interest in research that connects rigorous methodology with real-world healthcare questions.