There is a saying among analysts that correlation is not causation. Chances are, you might have heard this before in a statistics or science course. Yet many professionals continue to misunderstanding these two concepts and how they differ. So let’s clear up any confusion once and for all. What Is Correlation? To put it simply,
Correlation Is Not Causation Read More
If you landed on this page, you’re at least thinking about what you need to build analytic capacity. Congratulations! That means you are not just ready to succeed but to take your team to next-level performance. To build analytic capacity, you’re going to need to nail down 14 key elements. Each of these elements will
14 Critical Elements to Build Analytic Capacity Read More
If you’re in a leadership position, you probably understand that good documentation is really important for any project success. You might have worked with a few Gantt charts, work breakdown structures, burn rates, and budget forecasts. However, if you’re working on an analytic project an entirely different set of documentation is needed. In this article,
Analytic Documentation Is Critical for Your Team’s Success Read More
This is the sixth part in a six-part series about critical issues in healthcare Quality Improvement (QI) analytics. My goal was to highlight persistent issues observed over the last decade in the QI space. For this last article, I want to focus on using the correct analytic methods and interpretations. Here we go. The Issue:
Analyze Wisely: The Right Test, Right Data, Right Interpretation Read More
This is my fifth post in a six-part series focusing on critical issues in healthcare Quality Improvement (QI) analytics. This week, I want to focus on metrics. Specifically, the challenges we all face when using metrics that were initially intended for different uses from the current application. Let’s get into it. The Issue: Metrics Intended
Critical Issues in Healthcare Quality Improvement – Metrics Intended for Other Uses Read More
Welcome back to the fourth in a six-part series of short, actionable articles about critical issues in healthcare quality improvement. This week, I’m addressing a challenge not often discussed but which has profound impacts on Quality Improvement (QI): data collection strategies. The Issue: Appropriate Data Collection Strategies Research is a data-hungry enterprise. While a lot
Healthcare Quality Improvement Hinges on Appropriate Data Collection Strategies Read More
Hi there, Friend! This is the third in a six-part series of short, actionable articles. This week, I’m tackling another issue I’ve seen repeatedly in healthcare Quality Improvement (QI) projects: realistic time frames for follow-up. The Issue: Realistic Time Frame for Follow-up QI programs require precious resources in time and money, and the requirements vary
Your Quality Improvement Project Needs a Realistic Time Frame for Follow-Up Read More
Welcome back to the second in a six-part series of short articles with more pointed, actionable information. In this article, I’m raising a persistent issue I’ve seen across many interventions: attempting to evaluate healthcare Quality Improvement (QI) projects without a comparison group. The Issue: Lack of Comparison Group Every QI project seeks to either make
Verify Your Comparison Group Before Your Next Quality Improvement Project Read More
Hi there, Friend! I’m trying out a new format with shorter articles, and more pointed, actionable information. Let me know how you like it. This post is the first in a six-part series on data analytic issues I continue to see in healthcare Quality Improvement (QI). The six parts will include: Let’s get to it!
Your Rapid-Cycle Sample Sizes May Be Too Small for Healthcare Quality Improvement Read More
