QI Meeting

This fundamental QI 101 course provides novice to advanced beginners with the essential tools to launch a scholarly improvement project. Through hands-on exercises using case studies, participants will learn to develop SMARTIE AIM statements, select outcome, process, and balancing measures, and use QI discovery tools to identify high-yield interventions. The workshop focuses on the critical initial steps of project design and development in quality improvement science.

This workshop teaches participants how to integrate change management frameworks, like Kotter's 8 Steps for Leading Change, into their Quality Improvement (QI) project design to achieve more sustainable results. Through interactive discussions and role-playing exercises, attendees will learn to anticipate and manage resistance, a common challenge in QI initiatives. The session aims to provide practical skills and resources to guide teams through transitions and maximize the long-term impact of their improvement efforts.

This workshop provides a practical overview of statistical process control (SPC) for quality improvement, focusing on the use of run charts and control charts to analyze time-series data. Participants will learn the theory behind these tools, how to understand and identify different types of data variation, and will engage in hands-on exercises to build their skills. The goal is for attendees to understand how to use these charts to guide improvement efforts by interpreting data variation effectively.

This workshop introduces contemporary Interrupted Time Series (ITS) methods for public health research. Participants will gain practical guidance on how to design ITS studies and critically assess their use in evaluating public health interventions.

This workshop addresses the challenge of gaining academic credit for Quality Improvement (QI) work by providing strategies to highlight these activities in promotion portfolios. Through guided small-group activities and illustrative examples, participants will practice reframing their QI efforts into scholarly achievements that align with institutional promotion criteria. Attendees will leave with a personalized plan and concrete strategies to build a standout academic portfolio that effectively showcases their QI contributions.

This interactive workshop provides a meaningful approach to incorporating high-value care into improvement projects, moving beyond quality alone. Through a combination of didactic lectures and small-group breakouts using a templated toolkit, participants will learn how to design, measure, and implement projects with a focus on value and equity. Attendees will leave with key tools and an enhanced understanding of how to positively impact the overall quality and cost of the healthcare system.

Participants will review 2 national pediatric primary care QI collaboratives (Project REDDE and BP CATCH) with a focus on 1) research design and conduct and 2) operational lessons learned. Participants will brainstorm solutions to common issues encountered while using QI Collaborative methodology and then hear strengths and challenges of solutions implemented in these collaboratives. 

This workshop, a follow-up to QI 101, focuses on using data to drive scholarly improvement projects for novice to advanced beginners. Participants will learn how to design and execute Plan-Do-Study-Act (PDSA) cycles and analyze data by creating and interpreting run charts. A key focus is on understanding data variation and learning to decide when to use a run chart versus a more advanced control chart.

This advanced workshop is for practitioners already familiar with Statistical Process Control (SPC) who face complex data analysis challenges. Through case-based examples and hands-on exercises, participants will learn specialized techniques for situations where basic charts are ineffective, such as when to change control limits, how to handle skewed data, and when to treat count data as continuous. The session is designed to provide practical skills for applying more sophisticated SPC approaches to challenging real-world datasets.

This workshop teaches participants how to transform traditional, blame-focused Morbidity and Mortality (M&M) conferences into improvement-centered discussions that foster a culture of safety. Using a systems-thinking approach, attendees will learn a framework to design "Morbidity, Mortality, and Improvement" (MMI) conferences tailored to different audiences, such as trainees or entire divisions. Through interactive small-group work on a mock case, participants will gain a toolkit to implement or enhance MMI conferences at their own institutions, turning them into a cornerstone of their safety strategy.

This interactive workshop explains how to integrate human factors principles into everyday safety and quality improvement challenges to create safer, more reliable healthcare systems by focusing on system-level factors and design rather than individual blame. Participants will learn to identify system-level risks using a foundational human factors framework. The workshop includes multiple interactive activities that apply key concepts, from identifying potential system-level factors to reflecting on the strength of improvement recommendations from a human factors perspective. The session is designed for a broad audience and provides practical strategies to strengthen quality and safety outcomes.

This interactive workshop strengthens your quality improvement (QI) writing skills by applying the SQUIRE 2.0 guidelines to key elements of a successful manuscript. Through guided discussions and a hands-on writing exercise, you will learn to clearly describe your QI project and its impact. The session concludes with an invaluable opportunity to ask questions and receive direct advice from a panel of editors and editorial board members from top pediatric journals, including Pediatrics and Hospital Pediatrics.

This workshop explains how to enhance Clinical Pathways by integrating Implementation Science frameworks with traditional Quality Improvement methods to better translate evidence into practice. The session explores using innovative tools like clinical decision support, behavioral nudges, and artificial intelligence to address implementation challenges and improve adherence. Participants will learn to design, implement, and evaluate high-impact pathways for sustainable, high-quality pediatric care.

This interactive workshop introduces Agile Science, a framework integrating behavioral, network, and complexity science to implement human-centered change and overcome resistance to new ideas. Through hands-on activities, participants will learn to map social networks and apply the MINDSPACE framework to design behavioral "nudges" that create demand for new solutions. The goal is for attendees to leave with a practical playbook for designing and scaling more effective change in their own work.